50+ Data Analytics Jobs in India

● Candidate should have Hands-on development experience as Data Analyst and/or ML Engineer.

● Candidate must have Coding experience in Python.

● Candidate should have Good Experience with ML models and ML algorithms.

● Need Experience with statistical modelling of large data sets.

● Looking for Immediate joiners or max. 30 days of Notice Period candidates.

● The candidates based out of these locations - Bangalore, Pune, Hyderabad, Mumbai, will be preffered.

What You will do:

● Play the role of Data Analyst / ML Engineer

● Collection, cleanup, exploration and visualization of data

● Perform statistical analysis on data and build ML models

● Implement ML models using some of the popular ML algorithms

● Use Excel to perform analytics on large amounts of data

● Understand, model and build to bring actionable business intelligence out of data that is available in different formats

● Work with data engineers to design, build, test and monitor data pipelines for ongoing business operations

Basic Qualifications:

● Experience: 4+ years.

● Hands-on development experience playing the role of Data Analyst and/or ML Engineer.

● Experience in working with excel for data analytics

● Experience with statistical modelling of large data sets

● Experience with ML models and ML algorithms

● Coding experience in Python

Nice to have Qualifications:

● Experience with wide variety of tools used in ML

● Experience with Deep learning

Benefits:

● Competitive salary.

● Hybrid work model.

● Learning and gaining experience rapidly.

● Reimbursement for basic working set up at home.

● Insurance (including a top up insurance for COVID).

As a Solution Architect, you will collaborate with our sales, presales and COE teams to provide technical expertise and support throughout the new business acquisition process. You will play a crucial role in understanding customer requirements, presenting our solutions, and demonstrating the value of our products.

You thrive in high-pressure environments, maintaining a positive outlook and understanding that career growth is a journey that requires making strategic choices. You possess good communication skills, both written and verbal, enabling you to convey complex technical concepts clearly and effectively. You are a team player, customer-focused, self-motivated, responsible individual who can work under pressure with a positive attitude. You must have experience in managing and handling RFPs/ RFIs, client demos and presentations, and converting opportunities into winning bids. You possess a strong work ethic, positive attitude, and enthusiasm to embrace new challenges. You can multi-task and prioritize (good time management skills), willing to display and learn. You should be able to work independently with less or no supervision. You should be process-oriented, have a methodical approach and demonstrate a quality-first approach.

Ability to convert client’s business challenges/ priorities into winning proposal/ bid through excellence in technical solution will be the key performance indicator for this role.

What you’ll do

• Architecture & Design: Develop high-level architecture designs for scalable, secure, and robust solutions.
• Technology Evaluation: Select appropriate technologies, frameworks, and platforms for business needs.
• Cloud & Infrastructure: Design cloud-native, hybrid, or on-premises solutions using AWS, Azure, or GCP.
• Integration: Ensure seamless integration between various enterprise applications, APIs, and third-party services.
• Design and develop scalable, secure, and performant data architectures on Microsoft Azure and/or new generation analytics platform like MS Fabric.
• Translate business needs into technical solutions by designing secure, scalable, and performant data architectures on cloud platforms.
• Select and recommend appropriate Data services (e.g. Fabric, Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Power BI etc) to meet specific data storage, processing, and analytics needs.
• Develop and recommend data models that optimize data access and querying. Design and implement data pipelines for efficient data extraction, transformation, and loading (ETL/ELT) processes.
• Ability to understand Conceptual/Logical/Physical Data Modelling.
• Choose and implement appropriate data storage, processing, and analytics services based on specific data needs (e.g., data lakes, data warehouses, data pipelines).
• Understand and recommend data governance practices, including data lineage tracking, access control, and data quality monitoring.

What you will Bring 

• 10+ years of working in data analytics and AI technologies from consulting, implementation and design perspectives
• Certifications in data engineering, analytics, cloud, AI will be a certain advantage
• Bachelor’s in engineering/ technology or an MCA from a reputed college is a must
• Prior experience of working as a solution architect during presales cycle will be an advantage

Soft Skills

• Communication Skills
• Presentation Skills
• Flexible and Hard-working

Technical Skills

• Knowledge of Presales Processes
• Basic understanding of business analytics and AI
• High IQ and EQ

Why join us?

• Work with a passionate and innovative team in a fast-paced, growth-oriented environment.
• Gain hands-on experience in content marketing with exposure to real-world projects.
• Opportunity to learn from experienced professionals and enhance your marketing skills.
• Contribute to exciting initiatives and make an impact from day one.
• Competitive stipend and potential for growth within the company.
• Recognized for excellence in data and AI solutions with industry awards and accolades.

Role & Responsibilities

Extract insights from large datasets to support data-driven decision-making

Develop and automate routine dashboards for daily, weekly, and monthly KPI tracking

Conduct custom analyses to optimize user onboarding, activation, conversion, and retention funnels

Cohort users and track actual and predicted Lifetime Value (LTV)

Build forecast models and create meaningful alerts for business leaders

Collaborate with cross-functional teams to define short and long-term strategic focus areas

Provide actionable insights and recommendations to relevant teams

Create, standardize and maintain documentation frameworks and taxonomy across businesses

Ideal Candidate

Expertise in data analysis tools (SQL, Excel, Python, R), dashboard creation and visualization platforms (Tableau, Power BI among others) for effective reporting at various organizational levels

Excellent communication skills with the ability to influence stakeholders at all levels with the agility to work autonomously and collaboratively within a team environment

Proven ability to translate complex analytical concepts into clear, actionable insights for non-technical stakeholders

Strong background in statistical analysis and experimental design for robust hypothesis testing

Experience with A/B testing tools and methodologies in digital product environments

Skill in creating and maintaining comprehensive documentation systems

Real-World Evidence (RWE) Analyst

Summary:

As an experienced Real-World Evidence (RWE) Analyst, you will leverage our cutting-edge healthcare data platform (accessing over 60 million lives in Asia, with ambitious growth plans across Africa and the Middle East) to deliver impactful clinical insights to our pharmaceutical clients. You will be involved in the full project lifecycle, from designing analyses to execution and delivery, within our agile data science team. This is an exciting opportunity to contribute significantly to a growing early-stage company focused on improving precision medicine and optimizing patient care for diverse populations.

Responsibilities:

·      Contribute to the design and execution of retrospective and prospective real-world research, including epidemiological and patient outcomes studies.

·      Actively participate in problem-solving discussions by clearly defining issues and proposing effective solutions.

·      Manage the day-to-day progress of assigned workstreams, ensuring seamless collaboration with the data engineering team on analytical requests.

·      Provide timely and clear updates on project status to management and leadership.

·      Conduct in-depth quantitative and qualitative analyses, driven by project objectives and your intellectual curiosity.

·      Ensure the quality and accuracy of analytical outputs, and contextualize findings by reviewing relevant published research.

·      Synthesize complex findings into clear and compelling presentations and written reports (e.g., slides, documents).

·      Contribute to the development of standards and best practices for future RWE analyses.

Requirements:

·      Undergraduate or post-graduate degree (MS or PhD preferred) in a quantitative analytical discipline such as Epidemiology, (Bio)statistics, Data Science, Engineering, Econometrics, or Operations Research.

·      8+ years of relevant work experience demonstrating:

o  Strong analytical and problem-solving capabilities.

o  Experience conducting research relevant to the pharmaceutical/biotech industry.

·      Proficiency in technical skills including SQL and at least one programming language (R, Python, or similar).

·      Solid understanding of the healthcare/medical and pharmaceutical industries.

·      Proven experience in managing workstream or project management activities.

·      Excellent written and verbal communication, and strong interpersonal skills with the ability to build collaborative partnerships.

·      Exceptional attention to detail.

·      Proficiency in Microsoft Office Suite (Excel, PowerPoint, Word).

Other Desirable Skills:

·      Demonstrated dedication to teamwork and the ability to collaborate effectively across different functions.

·      A strong desire to contribute to the growth and development of the RWE analytics function.

·      A proactive and innovative mindset with an entrepreneurial spirit, eager to take on a key role in a dynamic, growing company.

Position Overview: We are looking for an experienced and highly skilled Data Architect to join our team and help design, implement, and optimize data systems that support high-end analytical solutions for our clients. As a Data Architect, you will work closely with clients to understand their business needs and translate them into robust, scalable, and efficient technical solutions. You will be responsible for end-to-end data modelling, integration workflows, and data transformation processes while ensuring security, privacy, and compliance.In this role, you will also leverage the latest advancements in artificial intelligence, machine learning, and large language models (LLMs) to deliver high-impact solutions that drive business success. The ideal candidate will have a deep understanding of data infrastructure, optimization techniques, and cost-effective data management

Key Responsibilities:

Customer Collaboration:

• Partner with clients to gather and understand their business

requirements, translating them into actionable technical specifications.

• Act as the primary technical consultant to guide clients through data challenges and deliver tailored solutions that drive value.
• 
  

Data Modeling & Integration:

• Design and implement scalable, efficient, and optimized data models to support business operations and analytical needs.
• Develop and maintain data integration workflows to seamlessly extract, transform, and load (ETL) data from various sources into data repositories.
• Ensure smooth integration between multiple data sources and platforms, including cloud and on-premise systems
• 
  

Data Processing & Optimization:

• Develop, optimize, and manage data processing pipelines to enable real-time and batch data processing at scale.
• Continuously evaluate and improve data processing performance, optimizing for throughput while minimizing infrastructure costs.
• 
  

Data Governance & Security:

• Implement and enforce data governance policies and best practices, ensuring data security, privacy, and compliance with relevant industry regulations (e.g., GDPR, HIPAA).
• Collaborate with security teams to safeguard sensitive data and maintain privacy controls across data environments.
• 
  

Cross-Functional Collaboration:

• Work closely with data engineers, data scientists, and business

analysts to ensure that the data architecture aligns with organizational objectives and delivers actionable insights.

• Foster collaboration across teams to streamline data workflows and optimize solution delivery.
• 
  

Leveraging Advanced Technologies:

• Utilize AI, machine learning models, and large language models (LLMs) to automate processes, accelerate delivery, and provide
• smart, data-driven solutions to business challenges.
• Identify opportunities to apply cutting-edge technologies to improve the efficiency, speed, and quality of data processing and analytics.
• 
  

Cost Optimization:

• Proactively manage infrastructure and cloud resources to optimize throughput while minimizing operational costs.
• Make data-driven recommendations to reduce infrastructure overhead and increase efficiency without sacrificing performance.
• 
  

Qualifications:

Experience:

• Proven experience (5+ years) as a Data Architect or similar role, designing and implementing data solutions at scale.
• Strong expertise in data modelling, data integration (ETL), and data transformation processes.
• Experience with cloud platforms (AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark).
• 
  

Technical Skills:

• Advanced proficiency in SQL, data modelling tools (e.g., Erwin,PowerDesigner), and data integration frameworks (e.g., Apache
• NiFi, Talend).
• Strong understanding of data security protocols, privacy regulations, and compliance requirements.
• Experience with data storage solutions (e.g., data lakes, data warehouses, NoSQL, relational databases).
• 
  

AI & Machine Learning Exposure:

• Familiarity with leveraging AI and machine learning technologies (e.g., TensorFlow, PyTorch, scikit-learn) to optimize data processing and analytical tasks.
• Ability to apply advanced algorithms and automation techniques to improve business processes.
• 
  

 Soft Skills:

• Excellent communication skills to collaborate with clients, stakeholders, and cross-functional teams.
• Strong problem-solving ability with a customer-centric approach to solution design.
• Ability to translate complex technical concepts into clear, understandable terms for non-technical audiences.
• 
  

Education:

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field (or equivalent practical experience).

LIFE AT FOUNTANE:

• Fountane offers an environment where all members are supported, challenged, recognized & given opportunities to grow to their fullest potential.
• Competitive pay
• Health insurance for spouses, kids, and parents.
• PF/ESI or equivalent
• Individual/team bonuses
• Employee stock ownership plan
• Fun/challenging variety of projects/industries
• Flexible workplace policy - remote/physical
• Flat organization - no micromanagement
• Individual contribution - set your deadlines
• Above all - culture that helps you grow exponentially!

A LITTLE BIT ABOUT THE COMPANY:

Established in 2017, Fountane Inc is a Ventures Lab incubating and investing in new competitive technology businesses from scratch. Thus far, we’ve created half a dozen multi-million valuation companies in the US and a handful of sister ventures for large corporations, including Target, US Ventures, and Imprint Engine.

We’re a team of 120+ strong from around the world that are radically open-minded and believes in excellence, respecting one another, and pushing our boundaries to the furthest it's ever been.

Loyalty Juggernaut Inc. (LJI) is a Silicon Valley-based product company, founded by industry veterans with decades of expertise in CRM, Loyalty, and Mobile AdTech. With a global footprint spanning the USA, Europe, UAE, India, and Latin America, we are trusted partners for customer centric enterprises across diverse industries including Airlines, Airport, Retail, Hospitality, Banking, F&B, Telecom, Insurance and Ecosystem.

As pioneers in next-generation loyalty and customer engagement solutions, we are not just transforming loyalty—we are redefining it. With a passion for innovation and a commitment to excellence, LJI is reshaping the loyalty landscape, enabling enterprises to create meaningful, long-lasting relationships with their customers. We are THE JUGGERNAUTS, driving innovation and impact in the loyalty ecosystem.

At the core of our innovation is GRAVTY®, a revolutionary Digital Transformation SaaS Product that empowers multinational enterprises to build deeper customer connections. Designed for scalability and personalization, GRAVTY® delivers cutting-edge loyalty solutions that transform customer engagement across diverse markets.

Our Impact:

• 400+ million members connected through our platform.
• Trusted by 100+ global brands/partners, driving loyalty and brand devotion worldwide.

Proud to be a Three-Time Champion for Best Technology Innovation in Loyalty!!

Explore more about us at www.lji.io.

We are seeking passionate BI Specialist specialized in Business Intelligence. As a BI Specialist ,you will play a pivotal role in crafting cutting-edge software solutions that empower enterprises with insightful data-driven decision-making capabilities.

What you will OWN:

• Writing complex SQL queries and working on SQL optimization and performance for the reports.
• Contribute to building industry best in class KPIs for various industries in Loyalty and Customer Engagement Space.
• Work on AI/ML-based insights to detect Fraud and Anomalies, forecast sales, suggest the next best Offers, predict customer churn etc.
• Analyzing data, transform and build data insights on top of the data stored in data warehouse.
• Build reports and dashboards on multiple Reporting tool.

You would make a GREAT FIT if you have :

• Minimum 1 to 2 years of work experience in analytics, data engineering, business intelligence or related field.
• Experience using SQL, ETL and databases in a business environment with large-scale, complex datasets.
• Experience with large-scale data warehousing and analytics projects, including using AWS technologies – Postgres, AWS-Redshift, S3, etc.
• Ability in understanding of SQL queries and optimization.
• Knowledge in AI/ML will be added advantage.
• Experience gathering business requirements, standard business intelligence tool(s), formulate metrics/KPIs and build reports.
• Proficiency in designing dashboards with the use of visualization tool Amazon Quicksight (experience on similar tools PowerBI, Tableau is also accepted).
• Ability to analyze the data so as to identify trends and share meaningful insights with customers.
• Strong verbal and written communication skills.

Why should you consider us?

• Opportunity to Innovate with and Learn from a World-class technology team
• Dabble into the future of technology - Enterprise Cloud Computing, Blockchain, Machine Learning and AI, Mobile, Digital Wallets, and much more...
• Grow with a fast growing company with global presence and recognition.

Job Description:

We are seeking a highly analytical and detail-oriented Data Analyst to join our team. The ideal candidate will have strong problem-solving skills, proficiency in SQL and AWS QuickSight, and a passion for extracting meaningful insights from data. You will be responsible for analyzing complex datasets, building reports and dashboards, and providing data-driven recommendations to support business decisions.

Key Responsibilities:

• Extract, transform, and analyze data from multiple sources to generate actionable insights.
• Develop interactive dashboards and reports in AWS QuickSight to visualize trends and key metrics.
• Write optimized SQL queries to retrieve and manipulate data efficiently.
• Collaborate with stakeholders to understand business requirements and provide analytical solutions.
• Identify patterns, trends, and statistical correlations in data to support strategic decision-making.
• Ensure data integrity, accuracy, and consistency across reports.
• Continuously explore new tools, techniques, and methodologies to enhance analytical capabilities.

Qualifications & Skills:

• Strong proficiency in SQL for querying and data manipulation.
• Hands-on experience with AWS QuickSight for data visualization and reporting.
• Strong analytical thinking and problem-solving skills with the ability to interpret complex data.
• Experience working with large datasets and relational databases.
• Passion for slicing and dicing data to uncover key insights.
• Exceptional communication skills to effectively understand business requirements and present insights.
• A growth mindset with a strong attitude for continuous learning and improvement.

Preferred Qualifications:

• Experience with Python is a plus.
• Familiarity with cloud-based data environments (AWS etc).
• Familiarity with leveraging existing LLMs/AI tools to enhance productivity, automate repetitive tasks, and improve analysis efficiency.

We are seeking a highly motivated and experienced Senior Data Analyst to join our dynamic team. The ideal candidate will be a strategic thinker with a strong analytical background, capable of transforming complex data into actionable insights. You will play a crucial role in driving data-informed decisions across the organization, collaborating with various stakeholders to improve business performance.

Responsibilities:

• Data Analysis & Interpretation:
• Analyze large datasets to identify trends, patterns, and anomalies.
• Develop and maintain dashboards and reports to visualize key performance indicators (KPIs).   
• Interpret data and provide actionable insights to stakeholders.
• Conduct in-depth analysis to support strategic initiatives and business decisions.
• Data Management & Infrastructure:
• Ensure data accuracy and integrity through data validation and cleansing.
• Collaborate with data engineers to optimize data pipelines and infrastructure.
• Develop and maintain data documentation and data dictionaries.
• Work with databases and data warehouses, including SQL querying.
• Reporting & Visualization:
• Design and develop interactive dashboards and visualizations using tools like Tableau, Power BI, or similar.
• Create clear and concise reports for executive management and other stakeholders.
• Automate reporting processes to improve efficiency.
• Statistical Analysis & Modeling:
• Apply statistical methods and techniques to analyze data and draw meaningful conclusions.
• Develop predictive models and perform forecasting to support business planning.
• Conduct A/B testing and other experiments to evaluate the effectiveness of initiatives.

We are seeking a talented and passionate Data Scientist to join our dynamic team. The ideal candidate will leverage advanced statistical and machine learning techniques to extract actionable insights from complex datasets, driving strategic business decisions and product development. You will work closely with cross-functional teams, including engineers, product managers, and business stakeholders, to solve challenging problems and contribute to our data-driven culture.

Responsibilities:

• Data Analysis & Modeling:
• Develop and implement advanced statistical models, machine learning algorithms, and deep learning techniques to solve complex business problems.
• Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies in large datasets.
• Build and evaluate predictive models for forecasting, classification, and regression tasks.
• Utilize statistical hypothesis testing and A/B testing to validate hypotheses and measure the impact of changes.
• Data Engineering & Management:
• Collaborate with data engineers to ensure data quality, integrity, and accessibility.
• Extract, transform, and load (ETL) data from various sources into usable formats.
• Develop and maintain data pipelines for efficient data processing and analysis.
• Work with large datasets and distributed computing frameworks (e.g., Spark, Hadoop).
• Communication & Visualization:
• Communicate complex data insights and findings to technical and non-technical audiences through clear visualizations and reports.

We are seeking a highly motivated and analytical Data Analyst to join our team. The ideal candidate will be responsible for collecting, processing, and analyzing large datasets to provide actionable insights that drive business decisions. You will work closely with various departments to understand their data needs and translate them into meaningful reports and visualizations.   

Responsibilities:

• Collect and process data from various sources, including databases, spreadsheets, and APIs.
• Clean, validate, and transform data to ensure accuracy and consistency.
• Develop and maintain databases and data systems.
• Perform statistical analysis to identify trends, patterns, and correlations.
• Create and maintain interactive dashboards and reports using data visualization tools (e.g., Tableau, Power BI).
• Present findings and recommendations to stakeholders in a clear and concise manner.
• Collaborate with cross-functional teams to understand business requirements and
• provide data-driven solutions.   

Key Responsibilities:

• Data Collection and Preparation:
• Gathering data from various sources (databases, APIs, files).
• Cleaning and preprocessing data (handling missing values, outliers, inconsistencies).
• Transforming data into a suitable format for analysis.
• Data Analysis:
• Performing exploratory data analysis (EDA) to identify patterns and trends.
• Applying statistical techniques and machine learning algorithms.
• Creating data visualizations (charts, graphs) to communicate findings.
• Model Development and Evaluation:
• Assisting in the development and training of machine learning models.
• Evaluating model performance using appropriate metrics.
• Contributing to model tuning and optimization.

We are seeking a highly motivated and experienced Senior Data Analyst to join our dynamic team. The ideal candidate will be responsible for extracting, analyzing, and interpreting complex datasets to provide actionable insights that drive business strategy and improve operational efficiency. You will play a crucial role in transforming raw data into meaningful information, enabling stakeholders to make informed decisions.

Responsibilities:

• Data Extraction and Manipulation:
• Extract data from various sources (databases, APIs, cloud platforms, etc.) using SQL, Python, or other relevant tools.
• Clean, transform, and validate data to ensure accuracy and consistency.
• Develop and maintain data pipelines for efficient data processing.
• Data Analysis and Interpretation:
• Conduct in-depth statistical analysis to identify trends, patterns, and anomalies.
• Develop and implement predictive models and algorithms to forecast future outcomes.
• Create insightful visualizations and dashboards using tools like Tableau, Power BI, or Looker to communicate findings effectively.
• Perform A/B Testing, and other experimental design analysis.
• Reporting and Communication:
• Prepare and present comprehensive reports and presentations to stakeholders at all levels.
• Translate complex data findings into clear and concise recommendations.
• Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.

We are looking for a motivated Junior Data Scientist to join our data science team. The ideal candidate will have a passion for analyzing data, building predictive models, and extracting actionable insights to solve business challenges. You will work with senior data scientists and cross-functional teams to develop data-driven solutions and contribute to the organization’s decision-making processes.

Key Responsibilities:

• Assist in data collection, cleaning, and preprocessing to ensure high-quality datasets for analysis.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and relationships in large datasets.
• Develop and implement machine learning models to solve business problems, such as classification, regression, or clustering tasks.
• Collaborate with senior data scientists to design experiments, evaluate models, and refine predictive algorithms.
• Conduct statistical analysis and hypothesis testing to validate model assumptions and results.
• Visualize and communicate insights from data analysis in a clear and actionable manner using data visualization tools (e.g., Matplotlib, Tableau, Power BI).
• Support the team in deploying machine learning models into production and maintaining them.
• Stay up-to-date with the latest data science trends, tools, and techniques to contribute to continuous improvement.

We are seeking a highly analytical and detail-oriented Data Analyst to join our team. The ideal candidate will be responsible for collecting, processing, and analyzing data to provide actionable insights that drive business decisions. You will work closely with cross-functional teams to support data-driven strategies and optimize business performance.

Key Responsibilities:

• Collect, clean, and analyze data from various sources to support business needs.
• Develop and maintain dashboards, reports, and data visualizations to communicate insights effectively.
• Perform exploratory data analysis and identify trends, patterns, and anomalies.
• Work with stakeholders to understand data requirements and translate them into analytical solutions.
• Utilize statistical techniques and machine learning models to support decision-making.
• Optimize data processes and workflows to improve efficiency.
• Ensure data integrity, accuracy, and consistency across different sources.
• Collaborate with engineering and product teams to improve data collection and quality.

Key Responsibilities:

• Collect, clean, and preprocess structured and unstructured data for analysis.
• Develop predictive models and machine learning algorithms to solve business problems.
• Use statistical and analytical techniques to extract insights and trends from large datasets.
• Work with engineering teams to deploy machine learning models into production.
• Design and implement A/B tests to measure the impact of changes and improvements.
• Create data visualizations and reports to communicate insights to stakeholders.
• Collaborate with product, marketing, and operations teams to drive data-driven strategies.
• Stay up to date with the latest advancements in data science and machine learning.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• Experience with programming languages such as Python, R, or SQL.
• Proficiency in machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Strong knowledge of data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
• Experience with cloud platforms like AWS, GCP, or Azure is a plus.
• Understanding of big data technologies (e.g., Spark, Hadoop) is a bonus.

Responsibilities:

• Data Collection and Preparation:
• Gather data from various sources, including databases, spreadsheets, and APIs.
• Clean, validate, and transform data to ensure accuracy and consistency.
• Develop and maintain data pipelines for efficient data processing.
• Data Analysis and Interpretation:
• Analyze large datasets to identify trends, patterns, and correlations.
• Perform statistical analysis and hypothesis testing to validate findings.
• Develop and implement data models and algorithms to support analysis.
• Create visualizations and reports to communicate insights to stakeholders.
• Reporting and Communication:
• Prepare and present data-driven reports and dashboards to communicate findings.
• Collaborate with cross-functional teams to understand business needs and provide data-driven recommendations.   
• Clearly articulate complex data insights to non-technical audiences.
• Database Management:
• Assist in the design and maintenance of databases.
• Write and optimize SQL queries for data retrieval and manipulation.

Machine Learning and Predictive Modeling:

• Developing and implementing machine learning models for prediction, classification, and clustering.
• Selecting appropriate algorithms and techniques based on the problem and data.
• Evaluating model performance and optimizing for accuracy.

Data Visualization and Communication:

• Creating clear and concise visualizations to communicate insights to stakeholders.
• Presenting findings and recommendations to both technical and non-technical audiences.
• Translating complex data into actionable business strategies.

Collaboration and Problem-Solving:

• Working closely with cross-functional teams to understand business needs.
• Identifying and solving complex business problems using data-driven approaches.
• Staying up-to-date with the latest advancements in data science and machine learning.

Data Analysis and Interpretation:

• Analyze data using statistical methods and tools (e.g., SQL, Python, R).
• Identify trends, patterns, and correlations in complex datasets.
• Perform exploratory data analysis to uncover insights.
• Conduct hypothesis testing and statistical analysis.

Data Visualization and Reporting:

• Create visually appealing and informative reports and dashboards.
• Use data visualization tools (e.g., Tableau, Power BI) to present findings.
• Communicate insights and recommendations to stakeholders in a clear and concise manner.
• Prepare reports for internal or external audiences using business analytics reporting tools containing graphs, charts, and other visual aids.

Data Scientists are analytical experts who use their skills in mathematics, statistics, and computer science to solve complex business problems. They collect, analyze, and interpret large datasets to extract meaningful insights and develop data-driven solutions. Their work helps organizations make informed decisions, improve processes, and gain a competitive edge.

Key Responsibilities:

• Data Collection and Preprocessing:
• Gathering data from various sources (databases, APIs, web scraping, etc.).
• Cleaning and transforming data to ensure quality and consistency.
• Handling missing values, outliers, and inconsistencies.
• Integrating data from multiple sources.
• Data Analysis and Exploration:
• Conducting exploratory data analysis (EDA) to identify patterns, trends, and relationships.
• Applying statistical methods and hypothesis testing to validate findings.
• Visualizing data using charts, graphs, and other tools to communicate insights.
• Model Development and Deployment:
• Developing and implementing machine learning models (e.g., regression, classification, clustering, deep learning).
• Evaluating model performance and fine-tuning parameters.
• Deploying models into production environments.
• Creating and maintaining machine learning pipelines.
• Communication and Collaboration:
• Presenting findings and recommendations to stakeholders in a clear and concise manner.
• Collaborating with cross-functional teams (e.g., engineers, product managers, business analysts).
• Documenting code, models, and processes.
• Translating business requirements into technical implementations.

Data Collection and Preparation:

• Gathering data from various sources, including databases, APIs, and files.
• Cleaning, transforming, and pre-processing data to ensure quality and consistency.
• Developing and maintaining data pipelines.

Data Analysis and Modeling:

• Conducting exploratory data analysis (EDA) to identify patterns and trends.
• Developing and implementing statistical models and machine learning algorithms.
• Evaluating model performance and fine-tuning parameters.

Data Visualization and Communication:

• Creating visualizations (charts, graphs, dashboards) to communicate insights effectively.
• Presenting findings to stakeholders, including non-technical audiences.
• Translating data-driven insights into actionable recommendations.

Problem Solving and Business Understanding:

• Identifying business problems that can be addressed with data analysis.
• Working with stakeholders to define project goals and requirements.
• Applying data science techniques to solve real-world business challenges.

We are seeking an experienced Data Scientist to join our data-driven team. As a Data Scientist, you will work with large datasets, apply advanced analytics techniques, and build machine learning models to provide actionable insights that drive business decisions. You will collaborate with various teams to translate complex data into clear recommendations and innovative solutions.

Key Responsibilities:

• Analyze large datasets to identify trends, patterns, and insights that can inform business strategy.
• Develop, implement, and maintain machine learning models and algorithms to solve complex problems.
• Work closely with stakeholders to understand business objectives and translate them into data science tasks.
• Preprocess, clean, and organize raw data from various sources for analysis.
• Conduct statistical analysis and build predictive models to support data-driven decision-making.
• Create data visualizations and reports to communicate findings clearly and effectively to both technical and non-technical teams.
• Design experiments and A/B testing to evaluate business initiatives.
• Ensure the scalability and performance of data pipelines and machine learning models.
• Collaborate with engineering teams to integrate data science solutions into production systems.
• Continuously stay updated with the latest developments in data science, machine learning, and analytics technologies.

As a B2B Marketer, you will handle marketing efforts for brand awareness. As well as, lead generation, web site development and content curation/creation, and sales collateral.

Roles and Responsibilities

• Design content marketing strategies and set short-term goals.
• Online and offline marketing: hands-on experience with digital media, including SEM, display, social, email, and affiliate channels.
• Experience working with a sales team in both Sales Enablement and Account-Based Approach.
• Knowledge of Demand Generation tactics and Lead Conversion principles.
• Understanding of A/B and multivariate testing, user segmentation, and reporting processes.
• Ability to create value propositions that communicate clearly to targeted audiences.
• Extensive experience creating audience segments and developing marketing campaigns that deliver a targeted message and create affinity with brands.
• Accomplished at leveraging full value from marketing automation processes and tools.

Requirements

• Degree in Marketing or relevant field.
• 3+ years of hands-on marketing experience in a B2B role.
• Excellent understanding of B2B marketing.
• Demonstrated ability to manage the budgeting process and use of analytical skills.
• Proven track record in delivering marketing campaigns that drive sales growth.
• Ability to remotely create and manage marketing strategies.
• An understanding of agile marketing, to identify and focus on high-value projects and then continuously and incrementally improve the results over time.
• Excellent communication skills.

We are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus.

Analyze and process large datasets using Python and Pandas.

Develop and optimize machine learning models for predictive analytics.

Create data visualizations using Matplotlib and Seaborn to support decision-making.

Perform data cleaning, feature engineering, and statistical analysis.

Work with structured and unstructured data to extract meaningful insights.

Implement and fine-tune NER models for specific use cases (if required).

Collaborate with cross-functional teams to drive data-driven solutions.

Required Skills & Qualifications:

Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.).

Experience in data analysis, statistical modeling, and machine learning.

Hands-on expertise in data visualization using Matplotlib and Seaborn.

Understanding of SQL and database querying.

Familiarity with NLP techniques and NER models is a plus.

Strong problem-solving and analytical skills.

Seeking a detail-oriented Market Research Analyst to conduct surveys and analyze customer preferences and statistical data. Your role will involve providing valuable insights to support customers in their decision-making processes related to product designs, pricing, and promotions. As a successful Market Research Analyst, you will have the ability to independently analyze qualitative data, identify trends, assess strategies, and evaluate competition, with the ultimate goal of enhancing competitiveness. Your responsibilities will include gathering and interpreting market research data, generating reports, and presenting findings to stakeholders. We are looking for a self-motivated professional with strong analytical skills and a deep understanding of market dynamics. Join our team and contribute to our company’s success by helping us make data-driven decisions to optimize our products and strategies.

Role & Responsibilities

We are seeking an experienced and self-motivated Lead Product Manager with expertise in Auto-Tech (e.g., Spinny, Cars24, Acko, PolicyBazaar, Park+). The ideal candidate will focus on user retention, increasing app engagement, and scaling our products to the next level.

Key Responsibilities:

User Retention: Develop and execute strategies to retain users, increase session lengths, and improve app engagement.

Data-Driven Insights: Conduct user behavior analysis and leverage insights to drive product improvements.

UX Optimization: Lead UX enhancements and A/B testing to deliver an exceptional user experience.

Team Leadership: Mentor and guide product teams to achieve strategic goals.

Stakeholder Management: Ensure seamless collaboration across teams and alignment on product objectives.

Ideal Candidate

Industry Experience: Proven experience in Auto-Tech companies or similar sectors.

Product Expertise: Demonstrated success in scaling products and improving user retention.

Technical Skills: Strong command of data analytics, Google Analytics, and UX design principles.

Leadership Skills: Exceptional ability to lead teams, manage stakeholders, and drive challenges to solutions.

Innovative Thinking: Proven ability to improve live products through user-centric design and research.

Job Description: Digital Marketing Specialist

Position: Digital Marketing Specialist

Location: Faridabad

Reports to: Marketing Manager

Type: Full-Time

Working Hours: 9 AM to 6 PM, Sunday Week Off

Salary: ₹15k-20k per month

Job Summary:

The Digital Marketing Specialist will be responsible for developing and implementing online marketing strategies to promote the company’s brand, products, and services. The role focuses on driving website traffic, generating leads, and increasing overall brand awareness through various digital channels.

Key Responsibilities:

• SEO & SEM: Optimize website content for search engines and manage pay-per-click (PPC) campaigns using tools like SEMrush.

• Social Media Management: Create, curate, and manage published content across all social media platforms.

• Content Marketing: Develop and implement content strategies including blogs, newsletters, and multimedia content.

• Email Marketing: Design and execute email campaigns to engage and nurture leads.

• Analytics & Reporting: Track, analyze, and report on the effectiveness of marketing efforts using tools like Google Analytics and SEMrush.

• Campaign Management: Plan and execute digital ad campaigns, including Google Ads, social media ads, and display advertising.

• Website Management: Oversee the company’s website, ensuring an optimized user experience and regularly updated content.

• Graphic Design & Video Editing: Create visually engaging content using tools like Canva and edit marketing videos as needed.

• Collaboration: Work closely with the sales and design teams to create and align marketing strategies.

Qualifications:

• Bachelor’s degree in Marketing, Business, or related field.

• 2-4 years of experience in digital marketing.

• Proficient in SEO, SEM, Google Analytics, and SEMrush.

• Experience with digital ad platforms (Google Ads, Facebook Ads, etc.).

• Knowledge of Canva for design and video editing software.

• Strong analytical, communication, and content creation skills.

• Knowledge of HTML, CSS, and website management is a plus.

Looking for an experienced Product Manager to work in abroad countries who is passionate about building products that customers love. You will join a dynamic and fast-paced environment and work with cross-functional teams to design, build and roll-out products that deliver the company’s vision and strategy.

Key Responsibilities:

Product Strategy and Vision:

• Develop and communicate a product vision and strategy aligned with the company's overall business objectives.
• Conduct market research, gather customer feedback, and analyze trends to inform the product roadmap.
• Define product goals and key performance indicators (KPIs) to track success.

Product Roadmap:

• Create and maintain a detailed product roadmap, setting priorities based on customer needs, business goals, and resource constraints.
• Balance short-term needs with long-term vision and strategic goals.

Cross-functional Collaboration:

• Work closely with engineering, design, and marketing teams to ensure successful product development and launch.
• Facilitate communication between stakeholders, ensuring everyone is aligned on product requirements, timelines, and goals.

Product Development:

• Write clear and actionable product requirements (PRDs) and user stories.
• Define features, prioritize enhancements, and manage the product backlog.
• Ensure the product development process is efficient and follows Agile or other relevant methodologies.

Customer Focus:

• Conduct user research, surveys, and interviews to understand customer pain points and gather feedback.
• Analyze data and product usage to identify opportunities for improvement or new features.
• Develop customer personas and use cases to guide product decisions.

Go-to-Market Strategy:

• Work with the marketing and sales teams to create product launch strategies, including pricing, messaging, and promotional campaigns.
• Train internal teams on product features and benefits to support successful product adoption.

Lifecycle Management:

• Oversee the product's life cycle, from ideation and design through to release, iteration, and eventual retirement.
• Monitor product performance, gather user feedback, and drive continuous improvement.

Stakeholder Management:

• Serve as the primary point of contact for product-related queries across the organization.
• Present product updates, progress, and results to senior leadership and stakeholders.

A Financial Research Analyst is responsible for gathering, analyzing, and interpreting financial data to support investment decisions, business strategies, or financial forecasting. Their primary role is to provide insights and recommendations based on their research to help guide the organization or clients in making informed financial decisions.

Key Responsibilities:

Data Collection & Analysis:

• Gather financial data from various sources (e.g., financial statements, market reports, industry trends, etc.).
• Analyze financial information, including profit and loss statements, balance sheets, and cash flow reports.

Market and Industry Research:

• Research industry trends, economic conditions, and market conditions to identify investment opportunities or risks.
• Track competitor performance and benchmarking.

Financial Modeling and Forecasting:

• Build and maintain financial models to project future performance, such as forecasting revenue and expenses.
• Use quantitative tools to evaluate investment options and potential financial outcomes.

Report Creation:

• Prepare detailed reports summarizing findings, analyses, and recommendations for internal stakeholders or clients.
• Present research findings to management, clients, or investors in a clear and concise manner.

Investment Recommendations:

• Provide recommendations for investment opportunities, such as stocks, bonds, or alternative investments.
• Assist with the evaluation of portfolios and asset management strategies.

Risk Assessment:

• Assess financial risks related to investments, projects, or business decisions.
• Recommend risk management strategies based on data analysis.

Collaboration & Communication:

• Work closely with other teams, such as investment managers, accountants, or business strategists, to align research with broader business objectives.
• Communicate findings and insights clearly to both financial and non-financial stakeholders.

About the Role

We are seeking an experienced and customer-focused Product Manager to join our team. In this role, you will be responsible for defining and executing the product vision, strategy, and roadmap. You will collaborate closely with cross-functional teams, including engineering, design, marketing, and sales, to deliver innovative solutions that solve customer pain points and align with our business objectives.

Key Responsibilities

Product Strategy and Vision

• Define and communicate a clear product vision and strategy.
• Align product goals with business objectives and customer needs.
• Conduct market research to identify trends, opportunities, and competitive positioning.

Roadmap and Prioritization

• Develop and maintain a product roadmap that balances short-term deliverables with long-term goals.
• Use prioritization frameworks (e.g., RICE, MoSCoW) to evaluate and prioritize product features.

Customer-Centric Development

• Gather and analyze user feedback through interviews, surveys, and data analytics.
• Advocate for the customer by translating their needs into actionable requirements.

Cross-Functional Collaboration

• Work with engineering teams to define and deliver high-quality, scalable products.
• Partner with designers to create user-friendly interfaces and experiences.
• Collaborate with marketing and sales teams to ensure successful product launches and adoption.

Data-Driven Decision Making

• Define and track key performance indicators (KPIs) to measure product success.
• Leverage analytics tools (e.g., Mixpanel, Google Analytics) to identify trends and optimize performance.

Agile Product Development

• Manage the product backlog and sprint planning in Agile or Scrum environments.
• Drive continuous improvement through iterative product releases.

Qualifications

Must-Have:

• 3–5 years of experience in product management or a related field.
• Proven ability to define and execute product strategies that achieve business goals.
• Strong communication and stakeholder management skills.
• Experience working with Agile development teams.
• Proficiency with product management tools (e.g., Jira, Trello, Asana) and analytics platforms (e.g., Mixpanel, Google Analytics).

Nice-to-Have:

• Familiarity with technical concepts (e.g., APIs, databases, or system architecture).
• Experience in [SaaS, B2B, Recruitment].
• Basic understanding of UX design principles and tools (e.g., Figma, Miro).
• Exposure to A/B testing and data-driven optimization techniques.

Job Description: Data Analyst

Position: Data Analyst

Location: Gurgaon

Experience Level: 1-3 Years

Employment Type: Full-Time

Role Overview

We are looking for a results-driven Data Analyst to join our team and support business decision-making through data insights and analytics. The ideal candidate will be highly proficient in Python, skilled in data visualization tools, and experienced in solving complex problems to drive measurable business outcomes such as revenue growth or cost reduction.

Key Responsibilities

Data Analysis and Insights:

Extract, clean, and analyze large datasets using Python to uncover trends and actionable insights.

Develop predictive models and conduct exploratory data analysis to support business growth and operational efficiency.

Business Impact:

Identify opportunities to increase revenue or reduce costs through data-driven strategies.

Collaborate with stakeholders to understand business challenges and provide analytics-driven solutions.

Data Visualization:

Build intuitive dashboards and reports using tools like Zoho Analytics, Looker Studio, or Tableau.

Present findings and insights clearly to both technical and non-technical stakeholders.

Problem-Solving:

Work on end-to-end problem-solving, from identifying issues to implementing data-backed solutions.

Continuously optimize processes through automation and advanced analytics techniques.

Collaboration and Reporting:

Work closely with teams across departments to understand data needs and deliver solutions tailored to their goals.

Provide ongoing reporting and insights to track key performance indicators (KPIs) and project outcomes.

Required Skills & Qualifications

Technical Expertise:

Strong proficiency in Python, including libraries such as Pandas, NumPy, Matplotlib, and Seaborn.

Hands-on experience with BI tools like Zoho Analytics, Looker Studio, or Tableau.

Analytical Skills:

Proven ability to analyze data to generate insights that drive decision-making.

Demonstrated success in addressing business challenges and achieving results such as revenue increment or cost reduction.

Problem-Solving:

Experience working on real-world business problems, identifying root causes, and implementing data-based solutions.

Communication:

Strong ability to communicate complex insights effectively to diverse audiences.

Excellent presentation and storytelling skills to translate data into actionable business strategies.

Preferred Qualifications

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related field.

Certifications in data analytics tools or platforms (e.g., Tableau, Looker).

Experience with advanced analytics or machine learning concepts.

What We Offer

Opportunity to work on impactful projects that directly influence business outcomes.

Collaborative, innovative, and supportive work environment.

Access to cutting-edge tools and technologies.

Competitive salary and growth opportunities.

We are looking for a detail-oriented Business Analyst with expertise in Tableau, statistics, SQL, and Excel. The role involves data analysis, creating interactive dashboards, and providing actionable insights to support business decisions and improve operations.

Key Responsibilities:

• Data Analysis & Visualization: Use Tableau for dashboards and conduct statistical analysis.
• SQL & Data Management: Write and optimize SQL queries, ensure data accuracy.
• Reporting: Develop Excel spreadsheets, analyze business processes, and provide reports.
• Collaboration: Work with cross-functional teams to gather requirements and deliver insights.
• Project Management: Manage multiple projects, deliver timely reports, and support teams with data insights.

Job Title: Data Analyst Associate – Data Management  

Location: Mumbai, India  

Company: Wissen Technology

About Us:

Wissen Technology is a leading technology and consulting firm known for its strong commitment to excellence, innovation, and customer satisfaction. We are passionate about harnessing data to drive smart business decisions and deliver impactful insights. Join us in shaping the future of data management.

Role Overview:

We are looking for a meticulous and proactive Data Analyst Associate - Data Management to join our team. This role requires a keen attention to detail, solid organizational skills, and a foundational knowledge of the asset management industry. You will support data analysis, management, and reporting initiatives, focusing on ensuring accuracy, efficiency, and improved decision-making processes.

Key Responsibilities:

• Data Management: Support data integrity and accuracy across various data systems; handle data extraction, transformation, and loading (ETL) processes.
• Analysis & Reporting: Generate insightful reports and conduct data analysis, utilizing Microsoft Excel and Business Objects; provide data support for decision-making processes.
• Collaboration: Engage with global business areas, provide data-related support, and actively participate in relevant meetings.
• Documentation & Communication: Document data management procedures, contribute to data governance practices, and effectively communicate findings with team members and stakeholders.
• Process Improvement: Identify and implement improvements in data operations to enhance efficiency and effectiveness.
• Technical Proficiency: Utilize data management tools and develop insights using BI reporting tools, including Tableau or Power BI; familiarity with Python is a plus.

Qualifications:

• Education: BTech / BE / MCA or any related field
• Industry Knowledge: Basic understanding of the asset management industry and data management practices.
• Technical Skills: Proficiency in Microsoft Excel, with foundational knowledge of Microsoft Access and Business Objects. Knowledge of BI reporting tools (Tableau, Power BI) is preferred, and Python skills are a plus.
• Communication Skills: Strong written and verbal communication abilities, with a focus on customer service and responsiveness.
• Organizational Skills: Strong multitasking, prioritization, and time management skills; attention to detail is essential.
• Project Management: Ability to coordinate and manage project tasks effectively, meeting deadlines with minimal supervision.

Why Join Wissen Technology?

• Opportunity to be part of a growing team focused on data-driven innovation and quality.
• Exposure to global clients and complex data management projects.
• Competitive benefits, including health coverage, paid time off, and a collaborative work environment.

We look forward to welcoming a detail-oriented and driven Data Analyst Associate to our team!

We are seeking a motivated AI Engineer who is passionate about exploring the future of artificial intelligence and eager to transition into the IT field. This role is ideal for individuals with a career gap who have undergone professional training in AI and are looking to apply their skills in a dynamic environment.

• Develop AI Models: Design and implement machine learning algorithms and deep learning models to extract insights from large datasets.
• Collaborate with Teams: Work closely with cross-functional teams to identify business needs and integrate AI solutions that enhance operational efficiency.
• Research and Experimentation: Conduct experiments to improve AI system performance and stay updated with the latest advancements in AI technologies.
• Documentation: Maintain comprehensive documentation for AI models, algorithms, and processes.

• Education: A bachelor’s degree in Computer Science, Engineering, or a related field is preferred.
• Training: Completion of professional training programs in AI, machine learning, or data science.
• Programming Skills: Proficiency in programming languages such as Python or R, with experience in data processing techniques.
• Analytical Skills: Strong problem-solving abilities and a keen analytical mindset.

• A genuine interest in the evolving landscape of AI technologies.
• Willingness to learn and adapt in a fast-paced environment.
• Excellent communication skills for effective collaboration within teams.

This position offers a unique opportunity for those looking to pivot their careers into IT while contributing to innovative AI projects. If you are ready to embrace this challenge, we encourage you to apply!

Role: Data Analyst (Apprentice - 1 Year contract)

Location: Bangalore, Hybrid Model

Job Summary: Join our team as an Apprentice for one year and take the next step in your career while supporting FOX’s unique corporate services and Business Intelligence (BI) platforms. This role offers a fantastic opportunity to leverage your communication skills, technical expertise, analytical and problem-solving competencies, and customer-focused experience.

Key Responsibilities:

·     Assist in analyzing and solving data-related challenges.

·     Support the development and maintenance of corporate service and BI platforms.

·     Collaborate with cross-functional teams to enhance user experience and operational efficiency.

·     Participate in training sessions to further develop technical and analytical skills.

·     Conduct research and analysis to identify trends and insights in data.

·     Prepare reports and presentations to communicate findings to stakeholders.

·     Engage with employees to understand their needs and provide support.

·     Contribute insights and suggestions during team meetings to drive continuous improvement.

Qualifications:

·     Bachelor’s degree in Engineering (2024 pass-out).

·     Strong analytical and technical skills with attention to detail.

·     Excellent communication skills, both verbal and written.

·     Ability to work collaboratively in a team-oriented environment.

·     Proactive attitude and a strong willingness to learn.

·     Familiarity with data analysis tools and software (e.g., Excel, SQL, Tableau) is a plus.

·     Basic understanding of programming languages (e.g., Python, R) is an advantage.

Additional Information:

• This position offers a hybrid work model, allowing flexibility between remote and in-office work.
• Opportunities for professional development and skill enhancement through buddy and mentorship.
• Exposure to real-world projects and the chance to contribute to impactful solutions.
• A supportive and inclusive team environment that values diverse perspectives.

About the company

DCB Bank is a new generation private sector bank with 442 branches across India.It is a scheduled commercial bank regulated by the Reserve Bank of India. DCB Bank’s business segments are Retail banking, Micro SME, SME, mid-Corporate, Agriculture, Government, Public Sector, Indian Banks, Co-operative Banks and Non-Banking Finance Companies.

Job Description

Department: Risk Analytics

CTC: Max 18 Lacs

Grade: Sr Manager/AVP

Experience: Min 4 years of relevant experience

We are looking for a Data Scientist to join our growing team of Data Science experts and manage the processes and people responsible for accurate data collection, processing, modelling, analysis, implementation, and maintenance.

Responsibilities

• Understand, monitor and maintain existing financial scorecards (ML Based) and make changes to the model when required.
• Perform Statistical analysis in R and assist IT team with deployment of ML model and analytical frameworks in Python.
• Should be able to handle multiple tasks and must know how to prioritize the work.
• Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Develop clear, concise and actionable solutions and recommendations for client’s business needs and actively explore client’s business and formulate solutions/ideas which can help client in terms of efficient cost cutting or in achieving growth/revenue/profitability targets faster.
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
• Design and build technical processes to address business issues.
• Oversee the design and delivery of reports and insights that analyse business functions and key operations and performance metrics.
• Manage and optimize processes for data intake, validation, mining, and engineering as well as modelling, visualization, and communication deliverables.
• Communicate results and business impacts of insight initiatives to the Management of the company.

Requirements

• Industry knowledge
• 4 years or more of experience in financial services industry particularly retail credit industry is a must.
• Candidate should have either worked in banking sector (banks/ HFC/ NBFC) or consulting organizations serving these clients.
• Experience in credit risk model building such as application scorecards, behaviour scorecards, and/ or collection scorecards.
• Experience in portfolio monitoring, model monitoring, model calibration
• Knowledge of ECL/ Basel preferred.
• Educational qualification: Advanced degree in finance, mathematics, econometrics, or engineering.
• Technical knowledge: Strong data handling skills in databases such as SQL and Hadoop. Knowledge with data visualization tools, such as SAS VI/Tableau/PowerBI is preferred.
• Expertise in either R or Python; SAS knowledge will be plus.

Soft skills:

• Ability to quickly adapt to the analytical tools and development approaches used within DCB Bank
• Ability to multi-task good communication and team working skills.
• Ability to manage day-to-day written and verbal communication with relevant stakeholders.
• Ability to think strategically and make changes to data when required.

Namskaram

Senior Product Analyst

Context:

We are looking for a Senior Product Analyst with experience in mobile App analytics, who is passionate about building digital products that can put yoga and meditation from a realized master in the hands of 7 billion people on the planet.

You will join a small and evolving team that is passionate about realizing Sadhguru’s vision and at the same time is also committed towards their own personal growth. You will be hands-on and at the same time get an opportunity to define, and lead the analytics practice, and to shape up the future of the digital products at Isha.

Responsibilities:

●     Data analysis and solution building based on insights captured from data.

●     Responsible for giving insights to management and help in strategic planning.

●     Structure concise reports with insights supported by solid analytics and logical thinking.

●     Cross-team projects and streamlining of the process.

●     The root cause Analysis of problems and suggesting improvements to product/ops based on insights.

●     Effectively working with complex data sets with minimal guidance, including cleaning and wrangling data to quickly unearth insights and trends and effectively communicating these to leadership through appropriate data summaries, visualizations and narratives.

●     Answer business questions and provide recommendations through a combination of

●     Descriptive, inquisitive and prescriptive analytics.

Requirements:

●     Strong 3-5 year experience in analytics.

●     Experience in working on analytics for a mobile App.

●     Proficiency in SQL, Excel and at least one visualization tool like tableau or qlikview.

●     Demonstrated ability of solving complex problems and attention to detail.

●     Demonstrated ability of work independently with stakeholders and cross functional teams, preferably in a startup environment.

●     Exposure to a statistical or analytical language such as R or Python.

●     Exposure to ML algorithms and modeling techniques.

●     Open to remote working.

Thirumoolar IT Solutions is looking for a motivated and enthusiastic Fresher Trained Dataset Engineer to join our team. This entry-level position is ideal for recent graduates who are eager to apply their academic knowledge in a practical setting and contribute to the development of high-quality datasets for machine learning applications.

Responsibilities

Assist in the collection, cleaning, and preprocessing of data to ensure it is ready for training machine learning models.

Collaborate with senior dataset engineers and data scientists to understand the requirements for specific machine learning tasks.

Participate in the annotation and labeling of datasets, ensuring accuracy and consistency in data representation.

Conduct quality checks on datasets to identify and rectify errors or inconsistencies.

Support the development of documentation and guidelines for data annotation processes.

Stay updated with the latest tools and techniques in data processing and machine learning.

Skills and Qualifications

Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related field.

Basic understanding of machine learning concepts and the importance of high-quality datasets.

Familiarity with programming languages such as Python or R is a plus.

Knowledge of data manipulation libraries (e.g., Pandas, NumPy) is advantageous.

Strong analytical skills and attention to detail.

Excellent communication and teamwork abilities.

A passion for learning and a desire to grow in the field of data engineering.

Preferred Location

Candidates based in Tamil Nadu or those willing to work from home are encouraged to apply.

We are seeking a highly skilled and experienced Senior Data Analyst to join our team. In this role, you will be responsible for analyzing complex datasets, generating actionable insights, and supporting strategic decision-making processes. You will collaborate with cross-functional teams, develop data models, and create compelling reports and visualizations to communicate findings effectively.

Key Responsibilities:

• Data Analysis: Perform in-depth analysis of large datasets to identify trends, patterns, and correlations. Utilize statistical methods and data mining techniques to extract actionable insights.
• Reporting & Visualization: Develop and deliver comprehensive reports and interactive dashboards that effectively communicate data insights and business performance to stakeholders.
• Data Modeling: Build and maintain data models that support business operations and decision-making processes. Conduct data validation and ensure accuracy and consistency.
• Business Intelligence: Collaborate with business leaders and teams to understand their data needs and translate them into analytical requirements. Provide data-driven recommendations to support strategic initiatives.

*Job Title:** Data Analyst

**Location:** Permanent Work from Home

**Job Type:** Full-Time

**Job Description:**

We are seeking a highly motivated and skilled Data Analyst to join our team. The ideal candidate will have a strong background in data analysis, incident management, and real-time data reporting. The role demands exceptional communication skills, both written and spoken, as well as the ability to work flexible shifts to support our global operations.

**Key Responsibilities:**

- Perform data analysis to identify trends, anomalies, and insights.

- Manage and resolve incidents effectively using tools like Jira and Slack.

- Conduct real-time data analysis and reporting to support business decisions.

- Generate comprehensive reports and dashboards to visualize data findings.

- Collaborate with cross-functional teams to ensure data integrity and accuracy.

- Communicate findings and recommendations clearly and concisely to stakeholders.

- Flexibility to work in different time zones as required.

**Required Qualifications:**

- Bachelor’s degree in Computer Science or a related field.

- Proven experience in data analysis and incident management.

- Proficiency in using Jira and Slack for communication and incident tracking.

- Strong skills in real-time data analysis and reporting.

- Exceptional communication skills in English, both written and spoken.

- Ability to work flexible shifts to accommodate global operations.

**Preferred Qualifications:**

- Experience with Python and automation tools is a plus.

**Work Environment Requirements:**

- Must have a reliable laptop/computer and home-based infrastructure, including high-speed WiFi and power backup.

- Ability to work effectively in a remote environment with minimal supervision.

**Benefits:**

- Permanent work-from-home opportunity.

- Flexible working hours.

- Opportunity to work with a dynamic and diverse team.

If you meet the above qualifications and are eager to contribute to a fast-paced and innovative team, we encourage you to apply.

Job Title: MIS Executive

Job Type - Full Time

Location – Indore

Summary/Objective:

The MIS Executive will be responsible for managing and analyzing data, generating reports, and providing insights to support effective decision-making within the organization. The role involves maintaining and enhancing the Management Information System (MIS) to ensure accurate and timely information flow.

Key Responsibilities:

·        Collect, compile, and analyze data from various sources to create comprehensive reports.

·        Develop and maintain efficient databases, ensuring data accuracy and integrity.

·        Generate and distribute daily, weekly, and monthly reports to relevant stakeholders.

·        Implement data validation and cleansing processes to ensure data accuracy.

·        Collaborate with different departments to understand their data requirements and provide support in extracting relevant information.

·        Identify and implement process improvements to enhance data quality and reporting efficiency.

·        Conduct regular audits of data to identify and rectify discrepancies.

·        Stay updated on industry trends and best practices in data management and reporting.

Qualifications/Requirements:

Education:

·        Bachelor's degree in any field.

Experience:

·        Minimum 2 years of proven experience in an MIS Executive role.

·        Jewelry industry experience is good to have

Required Skills:

·        Skilled in product cost analysis, order management, invoicing knowledge, and comprehensive inventory oversight.

·        Strong analytical and problem-solving skills.

·        Proficient in data analysis tools and Microsoft Excel.

·        Database management systems and SQL.

·        Excellent communication and interpersonal skills.

·        Ability to work independently and collaboratively in a team.

·        Detail-oriented with a high level of accuracy.

DA DS Trainer JD:

Key Responsibilities:

Develop and deliver comprehensive training programs on data science topics, including machine learning, artificial intelligence, big data, data mining, and predictive analytics.

Create engaging and interactive training materials, including presentations, hands-on exercises, case studies, and assessments.

Conduct classroom, online, and one-on-one training sessions for students at different skill levels.

Evaluate students' performance and progress, providing feedback and support to help them improve.

Stay up-to-date with the latest trends and best practices in data science and incorporate them into training programs.

Collaborate with other trainers and industry experts to continuously improve training content and methodologies.

Assist in the development of training schedules and manage training logistics.

Provide mentorship and career guidance to students aspiring to build a career in data science.

Qualifications:

Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field; a Master’s degree is a plus.

Proven experience as a Data Science Trainer or a similar role.

In-depth knowledge of data science concepts and hands-on experience with tools like Python, R, TensorFlow, and Hadoop.

Excellent presentation and communication skills.

Strong organizational and time-management abilities.

Ability to simplify complex concepts and deliver them in an understandable manner.

Certification in Data Science (e.g., Microsoft Certified: Azure Data Scientist Associate) is preferred.

Preferred Skills:

Experience with LMS (Learning Management Systems) and e-learning platforms.

Strong analytical and problem-solving skills.

Ability to adapt training methods to different learning styles.

Passion for continuous learning and professional development.

Benefits:

Competitive salary and performance-based incentives.

Professional development opportunities.

Flexible working hours.

Collaborative and innovative work environment.

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Job Description: Product Manager for GenAI Applications on Data Products About the Company: We are a forward-thinking technology company specializing in creating innovative data products and AI applications. Our mission is to harness the power of data and AI to drive business growth and efficiency. We are seeking a dynamic and experienced Product Manager to join our team and lead the development of cutting-edge GenAI applications. Role Overview: As a Product Manager for GenAI Applications, you will be responsible for conceptualizing, developing, and managing AI-driven products that leverage our data platforms. You will work closely with cross-functional teams, including engineering, data science, marketing, and sales, to ensure the successful delivery of high-impact AI solutions. Your understanding of business user needs and ability to translate them into effective AI applications will be crucial. Key Responsibilities: - Lead the end-to-end product lifecycle from ideation to launch for GenAI applications. - Collaborate with engineering and data science teams to design, develop, and deploy AI solutions. - Conduct market research and gather user feedback to identify opportunities for new product features and improvements. - Develop detailed product requirements, roadmaps, and user stories to guide development efforts. - Work with business stakeholders to understand their needs and ensure the AI applications meet their requirements. - Drive the product vision and strategy, aligning it with company goals and market demands. - Monitor and analyze product performance, leveraging data to make informed decisions and optimizations. - Coordinate with marketing and sales teams to create go-to-market strategies and support product launches. - Foster a culture of innovation and continuous improvement within the product development team. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, Business, or a related field. - 3-5 years of experience in product management, specifically in building AI applications. - Proven track record of developing and launching AI-driven products from scratch. - Experience working with data application layers and understanding data architecture. - Strong understanding of the psyche of business users and the ability to translate their needs into technical solutions. - Excellent project management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. - Strong analytical and problem-solving skills, with a data-driven approach to decision making. - Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. - Passion for AI and a deep understanding of the latest trends and technologies in the field. Benefits: - Competitive salary and benefits package. - Opportunity to work on cutting-edge AI technologies and products. - Collaborative and innovative work environment. - Professional development opportunities and career growth. If you are a passionate Product Manager with a strong background in AI and data products, and you are excited about building transformative AI applications, we would love to hear from you. Apply now to join our dynamic team and make an impact in the world of AI and data.

About the Role

We are actively seeking talented Senior Python Developers to join our ambitious team dedicated to pushing the frontiers of AI technology. This opportunity is tailored for professionals who thrive on developing innovative solutions and who aspire to be at the forefront of AI advancements. You will work with different companies in the US who are looking to develop both commercial and research AI solutions.

Required Skills:

• Write effective Python code to tackle complex issues
• Use business sense and analytical abilities to glean valuable insights from public databases 
• Clearly express the reasoning and logic when writing code in Jupyter notebooks or other suitable mediums
• Extensive experience working with Python 
• Proficiency with the language's syntax and conventions
• Previous experience tackling algorithmic problems
• Nice to have some prior Software Quality Assurance and Test Planning experience
• Excellent spoken and written English communication skills

The ideal candidates should be able to

• Clearly explain their strategies for problem-solving.
• Design practical solutions in code.
• Develop test cases to validate their solutions.
• Debug and refine their solutions for improvement.

Vision: Designing and Developing products and features based on data and advanced

analytics.

- leverage business knowledge and data to uncover the potential of the data

- data science applications development

- hypothesis testing and modelling

- evaluate performance of various ML/DS models

- and much more

Role: The role is to define big ‘Why’ and ‘What’? Ideate and build products and features

using advanced data science and machine learning models which can help internal/external

stakeholders along with customers. It requires you to experiment on multiple hypothesis

using statistical and machine learning algorithms and bring better decision making to the

table. The role requires you to work closely with business and machine learning/data

science team.

Responsibility:

- Define and solve the problem that exist in the market and solve by using data

- Writing Product requirement documents with user stories

- Monitor products and feature’s performance

- Make strong communication and feedback loop with customers and

stakeholders

- Bring best product practices to the table

Autonomy:

- Create product roadmap for data products

- Daily decision making about product

Requirements:

- Graduate/ Post graduate degree in Marketing, Business Administration,

Engineering etc.

- 4+ Years of Product Management experience in high growth tech start up

- Strong knowledge of Excel and Database

- Analyzing data and model performance

- Knowledge of latest technology and innovation trends

- Working knowledge of application development process and hands on product

management systems JIRA, Aha etc.

- Comfortable in programming language like R and Python

- Sound knowledge of cloud-based architecture

- Ability to develop hypothesis and testing models

Optiblack is a product growth firm that works with product leaders to drive revenue from data. Optiblack has worked with 50+ firms and created an impact of $300M+ USD

Optiblack is looking to add a product analyst that works with their clients on client engagement.

Job Descriptions

0. Monitoring

 Look at data from various sources daily to understand insights

 Identify areas of improvement

 Create the dashboards as per requirements

 Build tracking plan

1. Data Analysis

 Gather and analyze data from various sources to extract actionable insights.

 Use statistical techniques and data visualization to interpret trends and patterns.

 Identify opportunities for product improvements based on data analysis.

2. Product Performance Evaluation

 Monitor key product metrics and performance indicators.

 Conduct regular evaluations to assess product performance against goals and benchmarks.

 Identify areas of improvement and recommend strategies for optimization.

3. Market Research

 Conduct market research to understand industry trends, customer needs, and competitive landscape.

 Analyze market data and customer feedback to identify market opportunities.

 Provide insights on target market segments and potential customer segments.

4. User Experience Enhancement

 Collaborate with UX UI designers to improve the user experience of the product.

 Conduct user research, interviews, and usability testing to gather feedback on product usability and satisfaction.

 Recommend enhancements and features to improve user experience.

5. Requirement Gathering

 Collaborate with stakeholders to gather and document product requirements.

 Conduct interviews, workshops, and surveys to understand user and business needs.

 Translate requirements into clear and actionable user stories or product specifications.

6. A/B Testing

 Plan, execute, and analyze A/B Tests to evaluate the impact of changes or new features.

 Use data from A/B tests to make data-driven decisions and optimize the product.

7. Reporting and Presentation

 Prepare reports and presentations to communicate insights, findings, and recommendations.

 Present data analysis and product performance evaluations to stakeholders and cross-functional teams.

 Clearly articulate complex concepts in a concise and understandable manner.

Skills Required for a Product Analyst

1. Technical Skills

 Data Analysis: Proficiency in using analytical tools and techniques to gather, analyze, and interpret data.

 Tools: Mixpanel or similar

 Market Research: Knowledge of market research methodologies, including data collection, analysis, and competitor analysis.

 Product Management Tools: Familiarity with product management tools such as Jira, Trello, or Asana to manage product backlogs, roadmaps, and user stories.

 User Experience (UX) Design: Understanding of UX principles and the ability to work closely with designers to enhance the user experience of the product.

 A/B Testing: Experience in planning, executing, and analyzing A/B tests to measure the impact of product changes.

 SQL and Database Knowledge: Proficiency in SQL to extract and analyze data from databases.

2. Workplace Skills

 Communication: Strong verbal and written communication skills to effectively collaborate with stakeholders, present findings, and document requirements.

 Problem-Solving: Ability to identify problems, gather relevant information, and propose practical solutions to improve product performance and user experience.

 Critical Thinking: Capacity to think analytically, assess situations, and make data-driven decisions.

 Stakeholder Management: Skill in managing relationships with stakeholders, understanding their needs, and balancing competing priorities.

 Teamwork and Collaboration: Ability to work collaboratively with cross-functional teams, including product managers, designers, developers, and marketers.

 Adaptability: Flexibility to navigate in a dynamic and fast-paced work environment, adjusting priorities as needed.

 Attention to Detail: Strong attention to detail to ensure accuracy and precision in data analysis, documentation, and requirement gathering.

We are seeking a dynamic and experienced Senior Pre-Sales Business Analyst to join our team. The incumbent will play a pivotal role in engaging with potential clients and channel partners, providing strategic insights, and crafting tailored solutions to address client needs. This role demands a blend of technical expertise, business acumen, and exceptional communication skills to effectively articulate our value proposition and drive revenue growth.

Responsibilities

· Engage with clients to understand their business objectives, challenges, and requirements related to computer vision applications.

· Conduct detailed analysis and document business requirements, ensuring clarity, completeness, and feasibility.

· Collaborate with the solutioning and development teams to propose innovative and technically viable solutions that meet clients' requirements.

· Act as a liaison between clients and internal teams, effectively communicating and translating business requirements to technical teams.

· Utilize the low-code platform and AI models to design innovative solutions that address client needs.

· Analyze client data and business processes to identify opportunities for optimization and efficiency gains.

· Develop comprehensive proposals and presentations outlining customized solutions tailored to each client's requirements.

· Collaborate with the sales team to develop compelling proposals, presentations, and demonstrations to showcase the value and capabilities of our computer vision products.

· Participate in pre-sales activities, including client meetings, presentations, and workshops, to support business development efforts.

· Conduct market research to identify potential clients, industry trends, and competitive landscape.

· Analyze market data and client feedback to refine product offerings and develop new solutions.

· Stay updated with industry trends, emerging technologies, and competitive landscape related to computer vision and provide insights and recommendations for product enhancements.

· Contribute to the continuous improvement of business analysis processes, tools, and methodologies within the organization. 

Qualifications

· Bachelor's degree in Computer Science, Engineering, Business Administration, or a related field.

· 3-4 years of experience as a Business Analyst, preferably with pre-sales experience in the computer vision industry.

· Excellent communication and interpersonal skills to effectively interact with clients, understand their needs, and convey technical information to non-technical stakeholders.

· Proven experience in documenting business requirements, functional specifications, and use cases.

· Ability to collaborate and work effectively with cross-functional teams, including solution architects, developers, and sales professionals.

· Strong analytical and problem-solving skills, with the ability to think critically and propose innovative solutions.

· Proficiency in project management methodologies and tools to ensure timely and successful project delivery.

· Flexibility and adaptability to handle multiple projects simultaneously and work in a fast-paced environment.

· Willingness to travel as required to client locations for meetings, workshops, and presentations. 

Description of Role: 

We are looking for a career-minded professional with global perspective to join the Mumbai based Data & Analytics Group (DAG).

Key responsibilities:

As part of the Data & Analytics Group (DAG) and reporting to the Head of the India DAG locally, the individual is responsible for the following –

1.Review, analyze, and resolve data quality issues for enterprise core data in the IM Data Warehouse.

2.Coordinate with data owners and other teams to identify root-cause of data quality issues and implement solutions.

3.Coordinate the onboarding of data from various internal / external sources into the central repository.

4.Work closely with Data Owners/Owner delegates on data analysis and development data quality (DQ) rules. Work with IT on enhancing DQ controls.

5.End-to-end analysis of business processes, data flows, and data usage to improve business productivity through re-engineering and data governance.

6.Interact with business stakeholders to identify, prioritize, and address data-related needs and issues.

7.Document business requirements and use cases for data-related projects.

8.Manage change control process and participate in user acceptance testing (UAT) activities.

9.Support other DAG initiatives.

Key Skills:

1.Ability to interact with business and technology teams to understand processes and data usage.

2.Ability to do data analysis - to trace data from source to consumption.

3.Capable of working across organization and as part of a cross-functional virtual team. Ability to work and think independently, but within a team-based approach.

4.Problem solver, self-starter, ability to work through an entire issue lifecycle. Ability to effectively prioritize and multi-task.

5.Strong communication skills

Key qualifications:

1.Bachelor’s Degree required and any other relevant academic course a plus.

2.Strong domain knowledge of investment data

3.5+ years of data management, data analytics, or data governance experience in financial services

4.Experience in data analysis, exploratory analysis using SQL and formulating data quality rules.

5.Experience working with BI reporting tools like Tableau, Power BI is preferred.

6.Knowledge in coding, Python is a plus.

7.Prior experience working with Data Platforms like Aladdin, FactSet, Bloomberg, MDM platforms preferred.

Role Description

This is a full-time client facing on-site role for a Data Scientist at UpSolve Solutions in Mumbai. The Data Scientist will be responsible for performing various day-to-day tasks, including data science, statistics, data analytics, data visualization, and data analysis. The role involves utilizing these skills to provide actionable insights to drive business decisions and solve complex problems.

Qualifications

• Data Science, Statistics, and Data Analytics skills
• Data Visualization and Data Analysis skills
• Strong problem-solving and critical thinking abilities
• Ability to work with large datasets and perform data preprocessing
• Proficiency in programming languages such as Python or R
• Experience with machine learning algorithms and predictive modeling
• Excellent communication and presentation skills
• Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Statistics, Data Science)
• Experience in the field of video and text analytics is a plus

Immediate opening for a Senior Technical Trainer for our company Vy TCDC

(https://www.vytcdc.com/) in Karur

We are back in the office so no work from home.

Role: Technical Trainer

Minimum exp: 0 to 4yrs exp

Job Types: Full-time, Regular / Permanent

Location: Karur

Notice Period: Expecting immediate joiners

Job Description

• Design effective training programs

• Train all candidates

• Conduct seminars, workshops, individual training sessions, etc.

• Monitor candidate performance and response to training

• Strong Knowledge of React Js, Java , React Native, Angular, Node Js,Java , Python, Full Stack Development.

• Conduct seminars, workshops, individual training sessions, etc

• Conduct evaluations to identify areas of improvement

Job Responsibility:

* Coordinate with CSMs to complete Pilot sales tracker, QBR Decks, End of pilot Decks

*Monitor Daily Sales volume and alert CSMs of Locations with Low volume counts

*Collaborate with other teammates to extract data figures, data entry (Google Sheets & Google Slides), and monitor key performance indicators (KPIs) to determine business initiatives’ success

*Helping in Minor Integration Changes

*Helping with Tickets and giving support when required

* Basic product knowledge of the software to assist with non-client facing action items 

* Good communication skill preferred