50+ Data Visualization Jobs in India

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.

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.

Required Skills & Qualifications

●      3-6 years of experience in digital marketing analytics.

●      Strong expertise in Google Analytics 4 (GA4) and Google Tag Manager (GTM).

●      Experience with event tracking, goal conversions, and funnel analysis.

●      Proficiency in SEO tools like SEMrush, Ahrefs, Moz, or Screaming Frog.

●      Hands-on experience in backlink audits and competitive analysis.

●      Strong analytical skills and experience with data visualization (Looker Studio, Power BI, or Tableau).

●      Knowledge of UTM parameters, tracking pixels, and marketing attribution models.

●      Ability to translate data into actionable insights for content and SEO teams.

●      Familiarity with Google Search Console, Core Web Vitals, and page speed metrics.

●      Strong understanding of organic search, referral traffic, and user engagement metrics.

Nice to Have

●      Experience with legal or regulated industries.

●      Knowledge of automation tools for reporting (Python, BigQuery, SQL).

●      Experience with A/B testing and CRO (conversion rate optimization) strategies.

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.

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.

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.

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.

Job Title : Sr. Data Scientist

Experience : 5+ Years

Location : Noida (Hybrid – 3 Days in Office)

Shift Timing : 2 PM to 11 PM

Availability : Immediate

Job Description :

We are seeking a Senior Data Scientist to develop and implement machine learning models, predictive analytics, and data-driven solutions.

The role involves data analysis, dashboard development (Looker Studio), NLP, Generative AI (LLMs, Prompt Engineering), and statistical modeling.

Strong expertise in Python (Pandas, NumPy), Cloud Data Science (AWS SageMaker, Azure OpenAI), Agile (Jira, Confluence), and stakeholder collaboration is essential.

Mandatory skills : Machine Learning, Cloud Data Science (AWS SageMaker, Azure OpenAI), Python (Pandas, NumPy), Data Visualization (Looker Studio), NLP & Generative AI (LLMs, Prompt Engineering), Statistical Modeling, Agile (Jira, Confluence), and strong stakeholder communication.

Role Summary:

Lead and drive the development in BI domain using Tableau eco-system with deep technical and BI ecosystem knowledge. The resource will be responsible for the dashboard design, development, and delivery of BI services using Tableau eco-system.

Key functions & responsibilities:

· Communication & interaction with Project Manager to understand the requirement

· Dashboard designing, development and deployment using Tableau eco-system

· Ensure delivery within given time frame while maintaining quality

· Stay up to date with current tech and bring relevant ideas to the table

· Proactively work with the Management team to identify and resolve issues

· Performs other related duties as assigned or advised

· He/she should be a leader that sets the standard and expectations through example in his/her conduct, work ethic, integrity and character

· Contribute in dashboard designing, R&D and project delivery using Tableau

Experience:

· Overall 3-7 Years of experience in DWBI development projects, having worked on BI and Visualization technologies (Tableau, Qlikview) for at least 3 years.

· At least 3 years of experience covering Tableau implementation lifecycle including hands-on development/programming, managing security, data modeling, data blending, etc.

Technology & Skills:

· Hands-on expertise of Tableau administration and maintenance

· Strong working knowledge and development experience with Tableau Server and Desktop

· Strong knowledge in SQL, PL/SQL and Data modelling

· Knowledge of databases like Microsoft SQL Server, Oracle, etc.

· Exposure to alternate Visualization technologies like Qlikview, Spotfire, Pentaho etc.

· Good communication & Analytical skills with Excellent creative and conceptual thinking abilities

· Superior organizational skills, attention to detail/level of quality, Strong communication skills, both verbal and written

Job Description                                                                                         

Role : Marketing Manager

Location: Bangalore

Type: Full-Time Reports to:  

Job Purpose: Be a part of the Marketing team and help in the execution of day-to-day activities and be the POC for cross-functional marketing requirements Key Responsibilities:

Strategy & Market Research :  

•      Collaborate with the marketing team to develop and implement effective B2B marketing strategies aligned with company goals.  

•      Utilize market research and industry trends to identify new opportunities for lead generation.  

Content Creation:  

•      Assist in developing compelling and industry-relevant content for various channels, including blog posts, whitepapers, case studies, and infographics with proper industry and competitor research.

•      Ensure content aligns with the brand voice and resonates with the target B2B audience. Organic Lead Generation:  

•      Implement and optimize organic channels for lead generation, including SEO, social media, email marketing, and content marketing.  

•      Monitor and analyze performance metrics to refine and enhance lead generation efforts.  Campaign Execution:  

•      Coordinate and execute B2B marketing campaigns across multiple channels to increase brand visibility and generate qualified leads.  

•      Work closely with cross-functional teams to ensure seamless campaign execution.  Social Media Management:  

•      Manage and grow social media presence on platforms relevant to B2B audiences.  

•      Create engaging social media content and monitor industry conversations.  Email Marketing:  

•      Develop and execute targeted email campaigns to nurture leads and drive conversions.  

•      Utilize marketing automation tools to optimize email workflows and segmentation.  Analytics and Reporting:  

•      Monitor and analyze key performance indicators (KPIs) to assess the effectiveness of marketing strategies.  

•      Provide regular reports on campaign performance and make data-driven recommendations for improvement.                             

Qualifications & Experience:

•      Minimum 6 years of experience in B2B software marketing.

•      Master’s in business or marketing.

Skills & Attributes:

•      Strong creative thinking and problem-solving skills.  

•      In-depth knowledge of organic lead generation channels, including SEO, social media, and content marketing.

•      Efficient in managing multiple projects.

•      Excellent written and verbal communication skills.

•      Knowledge of running paid campaigns for B2B.

•      Proficiency in marketing automation tools and analytics platforms.

We are seeking a skilled Qlik Developer with 4-5 years of experience in Qlik development to join our team. The ideal candidate will have expertise in QlikView and Qlik Sense, along with strong communication skills for interacting with business stakeholders. Knowledge of other BI tools such as Power BI and Tableau is a plus.

Must-Have Skills:

QlikView and Qlik Sense Development: 4-5 years of hands-on experience in developing and maintaining QlikView/Qlik Sense applications and dashboards.

Data Visualization: Proficiency in creating interactive reports and dashboards, with a deep understanding of data storytelling.

ETL (Extract, Transform, Load): Experience in data extraction from multiple data sources (databases, flat files, APIs) and transforming it into actionable insights.

Qlik Scripting: Knowledge of Qlik scripting, set analysis, and expressions to create efficient solutions.

Data Modeling: Expertise in designing and implementing data models for reporting and analytics.

Stakeholder Communication: Strong communication skills to collaborate with non-technical business users and translate their requirements into effective BI solutions.

Troubleshooting and Support: Ability to identify, troubleshoot, and resolve issues related to Qlik applications.

Nice-to-Have Skills:

Other BI Tools: Experience in using other business intelligence tools such as Power BI and Tableau.

SQL & Data Querying: Familiarity with SQL for data querying and database management.

Cloud Platforms: Experience with cloud services like Azure, AWS, or Google Cloud in relation to BI and data solutions.

Programming Knowledge: Exposure to programming languages like Python or R.

Agile Methodologies: Understanding of Agile frameworks for project delivery.

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.

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.

Company Description

UpSolve Solutions is a company specializing in Video and Text Analytics to drive business decisions. We aim to solve business problems that are taking more time and resources than expected, and turn them into opportunities for growth and improvement. We are located in Pune and offer innovative solutions to help businesses succeed.

Role Description

This is a full-time on-site role for a QlikView Developer. As a QlikView Developer, you will be responsible for developing data models, creating dashboards, and utilizing your analytical skills. You will also work with data warehousing and ETL (Extract Transform Load) processes to ensure effective data management. You will be an integral part of our team in Pune.

Qualifications

• Data Modeling and Dashboard development skills
• Strong analytical skills
• Experience in data warehousing and ETL processes
• Proficiency in QlikView development
• Good understanding of business requirements and data analysis
• Excellent problem-solving and communication skills
• Experience in the software industry is a plus
• Bachelor's degree in Computer Science, Information Technology, or related field

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.

Role Overview

We are looking for a Tech Lead with a strong background in fintech, especially with experience or a strong interest in fraud prevention and Anti-Money Laundering (AML) technologies. 

This role is critical in leading our fintech product development, ensuring the integration of robust security measures, and guiding our team in Hyderabad towards delivering high-quality, secure, and compliant software solutions.

Responsibilities

• Lead the development of fintech solutions, focusing on fraud prevention and AML, using Typescript, ReactJs, Python, and SQL databases.
• Architect and deploy secure, scalable applications on AWS or Azure, adhering to the best practices in financial security and data protection.
• Design and manage databases with an emphasis on security, integrity, and performance, ensuring compliance with fintech regulatory standards.
• Guide and mentor the development team, promoting a culture of excellence, innovation, and continuous learning in the fintech space.
• Collaborate with stakeholders across the company, including product management, design, and QA, to ensure project alignment with business goals and regulatory requirements.
• Keep abreast of the latest trends and technologies in fintech, fraud prevention, and AML, applying this knowledge to drive the company's objectives.

Requirements

• 5-7 years of experience in software development, with a focus on fintech solutions and a strong understanding of fraud prevention and AML strategies.
• Expertise in Typescript, ReactJs, and familiarity with Python.
• Proven experience with SQL databases and cloud services (AWS or Azure), with certifications in these areas being a plus.
• Demonstrated ability to design and implement secure, high-performance software architectures in the fintech domain.
• Exceptional leadership and communication skills, with the ability to inspire and lead a team towards achieving excellence.
• A bachelor's degree in Computer Science, Engineering, or a related field, with additional certifications in fintech, security, or compliance being highly regarded.

Why Join Us?

• Opportunity to be at the cutting edge of fintech innovation, particularly in fraud prevention and AML.
• Contribute to a company with ambitious goals to revolutionize software development and make a historical impact.
• Be part of a visionary team dedicated to creating a lasting legacy in the tech industry.
• Work in an environment that values innovation, leadership, and the long-term success of its employees.

Minimum of 8 years of experience of which, 4 years should be of applied data mining

experience in disciplines such as Call Centre Metrics.

 Strong experience in advanced statistics and analytics including segmentation, modelling, regression, forecasting etc.

 Experience with leading and managing large teams.

 Demonstrated pattern of success in using advanced quantitative analytic methods to solve business problems.

 Demonstrated experience with Business Intelligence/Data Mining tools to work with

data, investigate anomalies, construct data sets, and build models.

 Critical to share details on projects undertaken (preferably on telecom industry)

specifically through analysis from CRM.

A Delhi NCR based Applied AI & Consumer Tech company tackling one of the largest unsolved consumer internet problems of our time. We are a motley crew of smart, passionate and nice people who believe you can build a high performing company with a culture of respect aka a sports team with a heart aka a caring meritocracy.

Our illustrious angels include unicorn founders, serial entrepreneurs with exits, tech & consumer industry stalwarts and investment professionals/bankers.

We are hiring for our founding team (in Delhi NCR only, no remote) that will take the product from prototype to a landing! Opportunity for disproportionate non-linear impact, learning and wealth creation in a classic 0-1 with a Silicon Valley caliber founding team.

Key Responsibilities:

1.   Data Strategy and Vision:

·       Develop and drive the company's data analytics strategy, aligning it with overall business goals.

·       Define the vision for data analytics, outlining clear objectives and key results (OKRs) to measure success.

2.   Data Analysis and Interpretation:

·       Oversee the analysis of complex datasets to extract valuable insights, trends, and patterns.

·       Utilize statistical methods and data visualization techniques to present findings in a clear and compelling manner to both technical and non-technical stakeholders.

3.   Data Infrastructure and Tools:

·       Evaluate, select, and implement advanced analytics tools and platforms to enhance data processing and analysis capabilities.

·       Collaborate with IT teams to ensure a robust and scalable data infrastructure, including data storage, retrieval, and security protocols.

4.   Collaboration and Stakeholder Management:

·       Collaborate cross-functionally with teams such as marketing, sales, and product development to identify opportunities for data-driven optimizations.

·       Act as a liaison between technical and non-technical teams, ensuring effective communication of data insights and recommendations.

5.   Performance Measurement:

·       Establish key performance indicators (KPIs) and metrics to measure the impact of data analytics initiatives on business outcomes.

·       Continuously assess and improve the accuracy and relevance of analytical models and methodologies.

Qualifications:

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field.
• Proven experience (5+ years) in data analytics, with a focus on leading analytics teams and driving strategic initiatives.
• Proficiency in data analysis tools such as Python, R, SQL, and advanced knowledge of data visualization tools.
• Strong understanding of statistical methods, machine learning algorithms, and predictive modelling techniques.
• Excellent communication skills, both written and verbal, to effectively convey complex findings to diverse audie 

●Customer Support: Provide excellent service to players and address their inquiries or issues promptly.

● Payment Processing: Process secure and efficient payment and withdrawal transactions in compliance with financial regulations.

● Fraud Prevention: Implement measures to detect and prevent fraudulent activities by monitoring player accounts and transactions.

● Game Management: Coordinate with game providers to ensure a diverse and engaging game library, oversee game releases, updates, and maintenance.

● Responsible Gaming: Promote responsible gambling practices and implement self-exclusion and responsible gaming tools for players.

● Bank Verification: Process customers' deposits to ensure valid and official amounts are transferred to their accounts.

● Follow-up: Reach out to existing non-active players to inform them about the latest promotions they can avail of.

● VIP Customer Handling: Provide excellent service to VIP customers by engaging with them and updating them about the latest gaming promotions.

● Attracting New Players: Initiate new strategies to attract new players to choose our website.

● Personalized Customer Engagement: Engage with customers through personalized conversations.

● Sales Reporting and Forecasting: Update the Sales Monitoring System to understand trends and discover new sales tactics.

● Other tasks assigned by the Sales and Operation Head and Managers.

The specific responsibilities and requirements for a Customer Service Representative in an online casino may vary depending on the size and nature of the casino, as well as local regulations and industry standards

Work Experience Requirements

● Experience in Sales Data Analysis;

● Demonstrated high level of proficiency in MS Office (Excel and PowerPoint), creating and managing performance dashboard data visualization;

● Working knowledge/experience on Google Workspace (Google Sheets and Google Slides) is a plus;

● Experience in Data Visualization tools like Visual Studio, Tableau, Power BI is a plus;

● Strong analytical and problem-solving skills, and attention to detail;

● Excellent communication skills, both written and oral, and active listening skills;

● Motivated self-starter;

● Willing to learn;

● Must be willing to report onsite in Cambodia

Key Responsibilities:

•Design, development, support and maintain automated business intelligence products in Tableau.

•Rapidly design, develop and implement reporting applications that insert KPI metrics and actionable insights into the operational, tactical and strategic activities of key business functions.

•Develop strong communication skills with a proven success communicating with users, other tech teams.

•Identify business requirements, design processes that leverage/adapt the business logic and regularly communicate with business stakeholders to ensure delivery meets business needs.

•Design, code and review business intelligence projects developed in tools Tableau & Power BI.

•Work as a member and lead teams to implement BI solutions for our customers.

•Develop dashboards and data sources that meet and exceed customer requirements.

•Partner with business information architects to understand the business use cases that support and fulfill business and data strategy.

•Partner with Product Owners and cross functional teams in a collaborative and agile environment

•Provide best practices for data visualization and Tableau implementations.

•Work along with solution architect in RFI / RFP response solution design, customer presentations, demonstrations, POCs etc. for growth.

Desired Candidate Profile:

•6-10 years of programming experience and a demonstrated proficiency in Experience with Tableau Certifications in Tableau is highly preferred.

•Ability to architect and scope complex projects.

•Strong understanding of SQL and basic understanding of programming languages; experience with SAQL, SOQL, Python, or R a plus.

•Applied experience in Agile development processes (SCRUM)

•Ability to independently learn new technologies.

•Ability to show initiative and work independently with minimal direction.

•Presentation skills – demonstrated ability to simplify complex situations and ideas and distill them into compelling and effective written and oral presentations.

•Learn quickly – ability to understand and rapidly comprehend new areas, functional and technical, and apply detailed and critical thinking to customer solutions.

Education:

•Bachelor/master’s degree in Computer Science, Computer Engineering, quantitative studies, such as Statistics, Math, Operation Research, Economics and Advanced Analytics

Data Strategy and Planning:

Collaborate with stakeholders to develop and implement data management strategies aligned with business objectives.

Define data standards, policies, and procedures to ensure consistent and accurate data collection and storage.

Data Collection and Integration:

Identify and assess various data sources, both internal and external, to gather relevant and reliable data.

Design and implement data collection methods and processes to ensure data is captured efficiently.

Oversee data integration initiatives to consolidate data from different sources into a unified database.

Data Quality Assurance:

Develop and enforce data quality standards to ensure the accuracy, completeness, and consistency of data.

Implement data validation processes and routines to identify and rectify data discrepancies or errors.

Database Management:

Maintain and optimize data storage systems, including databases, data warehouses, and data lakes.

Ensure data security and compliance with relevant data protection regulations.

Data Analysis and Reporting:

Collaborate with analysts to provide clean and structured data for analysis.

Assist in creating data visualizations and reports to communicate insights and findings to stakeholders.

Team Collaboration:

Work closely with IT teams, data scientists, analysts, and other stakeholders to define data requirements and resolve technical issues.

Provide guidance and training to team members regarding data management best practices.

Lifespark is looking for individuals with a passion for impacting real lives through technology. Lifespark is one of the most promising startups in the Assistive Tech space in India, and has been honoured with several National and International awards. Our mission is to create seamless, persistent and affordable healthcare solutions. If you are someone who is driven to make a real impact in this world, we are your people.

Lifespark is currently building solutions for Parkinson’s Disease, and we are looking for a ML lead to join our growing team. You will be working directly with the founders on high impact problems in the Neurology domain. You will be solving some of the most fundamental and exciting challenges in the industry and will have the ability to see your insights turned into real products every day

Essential experience and requirements:

1. Advanced knowledge in the domains of computer vision, deep learning

2. Solid understand of Statistical / Computational concepts like Hypothesis Testing, Statistical Inference, Design of Experiments and production level ML system design

3. Experienced with proper project workflow

4. Good at collating multiple datasets (potentially from different sources)

5. Good understanding of setting up production level data pipelines

6. Ability to independently develop and deploy ML systems to various platforms (local and cloud)

7. Fundamentally strong with time-series data analysis, cleaning, featurization and visualisation

8. Fundamental understanding of model and system explainability

9. Proactive at constantly unlearning and relearning

10. Documentation ninja - can understand others documentation as well as create good documentation

Responsibilities :

1. Develop and deploy ML based systems built upon healthcare data in the Neurological domain

2. Maintain deployed systems and upgrade them through online learning

3. Develop and deploy advanced online data pipelines

Technical Skills Required

Mandatory:

• Minimum 10 years of experience in software development with C# and the .Net framework/.net core.

• Experience on building RESTful services and MVC patterns-based web applications, web api and wcf

• Experience in ORM, Document-oriented NoSQL databases or RDMS • Experience with Git (GitHub), automatic deployments, continuous integration

• Expertise on JavaScript, HTML5, CSS, AngularJS, ReactJS, NodeJS, data visualization tools.

• Experience of working on highly scalable SaaS products

• Developed & debugged multi-threaded applications.

• Developed and deployed modules in Azure / Aws Good to have: • Experience in development of reports.

• Developed and deployed modules in Docker / Kubernetes • Experience as scrum owner

• Experience in agile development methodology

• Polyglot

Role and Responsibilities:

• Design, document, develop & test own product.

• Collaborate with team members.

• Care deeply about writing quality/testable/modular code

• Work with various stake holders across teams and prioritize deliverables.

• Drive efficient DevOps practices for full cycle .NET development and deployment.

Soft Skills Required

Mandatory:

• Clarity of thought

• Sincere

• Proactive

• Self-motivated

• Logical bent of mind (Analytical)

• Team player

• Flexible/adaptable

• Strong communication skills (both written and verbal)

• Leader with passion

Are you passionate about pushing the boundaries of Artificial Intelligence and its applications in the software development lifecycle? Are you excited about building AI models that can revolutionize how developers ship, refactor, and onboard to legacy or existing applications faster? If so, Zevo.ai has the perfect opportunity for you!

As an AI Researcher/Engineer at Zevo.ai, you will play a crucial role in developing cutting-edge AI models using CodeBERT and codexGLUE to achieve our goal of providing an AI solution that supports developers throughout the sprint cycle. You will be at the forefront of research and development, harnessing the power of Natural Language Processing (NLP) and Machine Learning (ML) to revolutionize the way software development is approached.

Responsibilities:

1. AI Model Development: Design, implement, and refine AI models utilizing CodeBERT and codexGLUE to comprehend codebases, facilitate code understanding, automate code refactoring, and enhance the developer onboarding process.
2. Research and Innovation: Stay up-to-date with the latest advancements in NLP and ML research, identifying novel techniques and methodologies that can be applied to Zevo.ai's AI solution. Conduct experiments, perform data analysis, and propose innovative approaches to enhance model performance.
3. Data Collection and Preparation: Collaborate with data engineers to identify, collect, and preprocess relevant datasets necessary for training and evaluating AI models. Ensure data quality, correctness, and proper documentation.
4. Model Evaluation and Optimization: Develop robust evaluation metrics to measure the performance of AI models accurately. Continuously optimize and fine-tune models to achieve state-of-the-art results.
5. Code Integration and Deployment: Work closely with software developers to integrate AI models seamlessly into Zevo.ai's platform. Ensure smooth deployment and monitor the performance of the deployed models.
6. Collaboration and Teamwork: Collaborate effectively with cross-functional teams, including data scientists, software engineers, and product managers, to align AI research efforts with overall company objectives.
7. Documentation: Maintain detailed and clear documentation of research findings, methodologies, and model implementations to facilitate knowledge sharing and future developments.
8. Ethics and Compliance**: Ensure compliance with ethical guidelines and legal requirements related to AI model development, data privacy, and security.

Requirements

1. Educational Background: Bachelor's/Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A strong academic record with a focus on NLP and ML is highly desirable.
2. Technical Expertise: Proficiency in NLP, Deep Learning, and experience with AI model development using frameworks like PyTorch or TensorFlow. Familiarity with CodeBERT and codexGLUE is a significant advantage.
3. Programming Skills: Strong programming skills in Python and experience working with large-scale software projects.
4. Research Experience: Proven track record of conducting research in NLP, ML, or related fields, demonstrated through publications, conference papers, or open-source contributions.
5. Problem-Solving Abilities: Ability to identify and tackle complex problems related to AI model development and software engineering.
6. Team Player: Excellent communication and interpersonal skills, with the ability to collaborate effectively in a team-oriented environment.
7. Passion for AI: Demonstrated enthusiasm for AI and its potential to transform software development practices.

If you are eager to be at the forefront of AI research, driving innovation and impacting the software development industry, join Zevo.ai's talented team of experts as an AI Researcher/Engineer. Together, we'll shape the future of the sprint cycle and revolutionize how developers approach code understanding, refactoring, and onboarding!

Lantern Pharma is looking for talented and highly motivated R Shiny based front end web application developers to visualize the data analyzed / reports generated using bioinformatics pipelines. Leveraging your background and applying software engineering principles, to develop applications and tools in support of data visualization and reporting using R / R Shiny. You will be involved in generating complex graphs used for statistical analysis and interpretation using interactive libraries such as Plotly. In addition to development of new code, you will support and maintain standard R programs, which will comprise a library of code to be used for future development. This is a 6 months contract position (40 hrs / week) with possibilities of full time employment based on performance.

RESPONSIBILITIES:

• Design and develop interactive web applications using R / R Shiny to visualize ML outputs, multi-omics data and reports generated by bioinformatics pipelines
• Use the open-source or proprietary R libraries to build useful applications and packages
• Write efficient, clean and well tested code that adheres to best practices
• Organize data, analysis, reports, and applications into reproducible pipelines
• Test and debug applications to ensure they are working correctly, using both manual and automated testing techniques
• Stay up-to-date with the latest R packages and developments in the pharma industry
• Publish R packages to internal company repository
• Deploy and maintain the R Shiny web-application on the AWS server

BASIC QUALIFICATIONS:

• Bachelor's degree required (Master’s degree preferred) in a scientific discipline such as Statistics, Computer Science, Bioinformatics etc.
• Minimum 2 years of R / R Shiny, R Markdown experience with standard packages for data visualization and analysis
• Proven ability of building interactive R-shiny application (demo of the R-shiny application)
• Proficient in libraries such as ggplot2, plotly, dplyr, Highcharter and DT
• Must have experience in generating and working with R markdown reports
• Experience of AWS to host R shiny application is a plus
• Knowledge of cancer biology, genomics and drug development is a plus
• Familiarity with JavaScript, HTML, CSS, Python a plus
• Experience in building a database using Relational / Non relational Database (SQL / NoSQL)
• Must be capable of developing collaborative relationships with colleagues
• Must be self-motivated and have strong analytical, interpersonal, and project management skills
• Must demonstrate the ability to present ideas, issues, and observations in a clear manner

Lantern provides multiple growth opportunities and as an early team member, your work will have a direct impact on precision oncology that can transform drug development. In addition to attractive compensation, we offer employees the opportunity for competitive health, dental & vision insurance, stock options in a public company, an opportunity to take leadership on new and meaningful projects, & involvement with leading conferences & industry trade shows.

Skills required

·      Certified in Google Analytics (any popular certifier)

·      A minimum of 4+ years of experience in the web analytics domain

·      Consolidated knowledge of the GA4 platform

·      Excellent communication skills (written & verbal)

·      Good understanding of Analytics, Tag Manager, and Data Studio.

·      Basic knowledge of BigQuery & JavaScript

·      Familiar with HTML, CSS and Javascript, and will have the ability to read, reuse and customise code

·      Advanced understanding of Events Tagging and Custom dimensions.

·      Hands-on experience with data visualization (custom dashboards)

Roles and Responsibilities

·      Responsible for managing our Analytics (G4) and GTM accounts

·      Implementation of highly effective web data analytic solutions

·      Visualize customer behavioral data such as page/path analysis, clickstream, funnel progression, CTA optimization, page/site abandonment, etc.

·      Implement tagging and configuration that ensures data collection is accurate and adequate based on the business needs

In-depth knowledge in the following areas.

·      Determine tracking requirements.

·      Create functional and technical design (Dom Scrapping & Custom HTML) of the tags.

·      Install GTM container tag on the live/staging websites.

·      Create, publish and test tags on the live/staging websites.

·      Able to track the successful form submission.

·      Do regular Tag audits for the live/staging websites.

·      Coordinate with the marketing heads to understand and develop custom reports and dashboards.

·      Create specified digital analytics tagging standards to ensure robust and consistent data capturing.

·      Testing and validating the tracking using various debugging tools.

Vue.JS Developer

1.   Should have worked in Agile methodology

2.   Should have at least 5+ years of experience

3.   Should have expertise in creating reusable components and coupling including routings

4.   Should have good knowledge of data visualization in Reports/Charts

Responsibilities

This role requires a person to support business charters & accompanying products by aligning with the Analytics

Manager’s vision, understanding tactical requirements and helping in successful execution. Split would be approx.

70% management + 30% individual contributor. Responsibilities include

Project Management

- Understand business needs and objectives.

- Refine use cases and plan iterations and deliverables - able to pivot as required.

- Estimate efforts and conduct regular task updates to ensure timeline adherence.

- Set and manage stakeholder expectations as required

Quality Execution

- Help BA and SBA resources with requirement gathering and final presentations.

- Resolve blockers regarding technical challenges and decision-making.

- Check final deliverables for correctness and review codes, along with Manager.

KPIs and metrics

- Orchestrate metrics building, maintenance, and performance monitoring.

- Owns and manages data models, data sources, and data definition repo.

- Makes low-level design choices during execution.

Team Nurturing

- Help Analytics Manager during regular one-on-ones + check-ins + recruitment.

- Provide technical guidance whenever required.

- Improve benchmarking and decision-making skills at execution-level.

- Train and get new resources up-to-speed.

- Knowledge building (methodologies) to better position the team for complex problems.

Communication

- Upstream to document and discuss execution challenges, process inefficiencies, and feedback loops.

- Downstream and parallel for context-building, mentoring, stakeholder management.

Analytics Stack

- Analytics : Python / R + SQL + Excel / PPT, Colab notebooks

- Database : PostgreSQL, Amazon Redshift, DynamoDB, Aerospike

- Warehouse : Amazon Redshift

- ETL : Lots of Python + custom-made

- Business Intelligence / Visualization : Metabase + Python/R libraries (location data)

- Deployment pipeline : Docker, Git, Jenkins, AWS Lambda

Responsibilities

• To Co-ordinate with regional teams and collect the required data
• Knowledge of advanced MS Excel, Presentation is a must
• Candidate must be able to handle large data sets and handle spreadsheets.
• Good at analyzing the data & Presentation
• Coordination with the team for timely submission of reports, tracking progress
• Understand the reporting model infrastructure and implement streamlined process solutions toward a more efficient reporting model.
• Preparation and analysis of daily, weekly, and monthly reports of different functions and summarizing the same
• Must be able to Generate/Update Reports, Create dashboards, Pivot tables
• Monthly/ Quarterly reconciliations and data cleansing to ensure the integrity of reported numbers.
• Review and investigate trends and provide commentary for management.
• Finding discrepancies in the process and arriving at a resolution

Eligibility

• Proven experience in MIS
• Ability to be self-motivated and self-directed and think and act independently while also being team oriented
• Good follow-up skills, the ability to understand, adaptability to process changes, and a strong sense of importance and ownership
• Good in numbers (Mathematics)
• Good in Excel
• Good communication skills

Personal skills:

Strong interpersonal and team working skills

Self-motivated that is able to work with minimal supervision

Demonstrate strong analytical and problem-solving skills

Ability to communicate effectively at all levels Strong attention to detail

We are Actively Looking for Business Presentation Designer: -

Who are we looking for:​

- We are looking for a designer with 3+ years of experience who's not married to their cubicle and can effortlessly convert complex concepts into elegantly simple presentations​.

- You should be able to translate business and marketing objectives into visual stories that are compelling, exciting, and coherent.​

- You should have a knack for design, attention to detail, and ninja-level expertise with design fundamentals, including composition, typography, color, iconography, and data visualization.​

- Along with in-depth knowledge of PowerPoint, Word, Keynote, and familiarity with Adobe Creative Suite, you should also have strong data visualization skills. ​

- Collaboration with other designers, copywriters, internal partners, and clients should come naturally to you.​

- An open-minded person who loves to set new benchmarks is desirable. ​Also, should be respectful of deadlines and willing to add value wherever required.

In this role, you will: 

As part of a team focused on the preserving the customer experience across the organization, this Analytic Consultant will be responsible for: 

• Understand business objectives and provide credible challenge to analysis requirements. 
• Verify sound analysis practices and data decisions were leveraged throughout planning and data sourcing phases. 
• Conduct in-depth research within complex data environments to identify data integrity issues and propose solutions to improve analysis accuracy. 
• Applying critical evaluation to challenge assumptions, formulate a defendable hypothesis, and ensuring high quality analysis results. 
• Ensure adherence to data management/ data governance regulations and policies. 
• Performing and testing highly complex data analytics for customer remediation. 
• Designing analysis projects flow and documentation that is structured for consistency, easy to understand, and to be offered to multiple levels of reviewers, partners, and regulatory agents demonstrating research and analysis completed. 
• Investigate and ensure data integrity from multiple sources. 
• Ensure data recommended and used is the best “source of truth”. 
• Applies knowledge of business, customers, and products to synthesize data to 'form a story' and align information to contrast/compare to industry perspective. Data involved typically very large, structured or unstructured, and from multiple sources. 
• Must have a strong attention to detail and be able to meet high quality standards consistently. 
• Other duties as assigned by manager. 
• Willing to assist on high priority work outside of regular business hours or weekend as needed. 

Essential Qualifications:  

• Around 5+ years in similar analytics roles 
• Bachelors, M.A./M.Sc. College Degree or Higher in applied mathematics, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis. 
• Preferred programming knowledge SQL/SAS  
• Knowledge of PVSI, Non-Lending, Student Loans, Small Business and Personal Lines and Loans is a plus. 
• Strong experience with data integration, database structures and data warehouses. 
• Persuasive written and verbal communication skills. 

Desired Qualifications: 

• Certifications in Data Science, or BI Reporting tools. 
• Ability to prioritize work, meet deadlines, achieve goals and work under pressure in a dynamic and complex environment – Soft Skills. 
• Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities. 
• Ability to research and report on a variety of issues using problem solving skills. 
• Ability to act with integrity and a high level of professionalism with all levels of team members and management. 
• Ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment. 
• Ability to learn the business aspects quickly, multitask and prioritize between projects. 
• Exhibits appropriate sense of urgency in managing responsibilities. 
• Ability to accurately process high volumes of work within established deadlines. 
• Available to flex schedule periodically based on business need. 
• Demonstrate strong negotiation, communication & presentation skills. 
• Demonstrates a high degree of reliability, integrity and trustworthiness. 
• Takes ownership of assignments and helps drive assignments of the team. 
• Dedicated, enthusiastic, driven and performance-oriented; possesses a strong work ethic and good team player. 
• Be proactive and get engaged in organizational initiatives.

About Us

We are an AI-Powered CX Cloud that enables enterprises to transform customer experience and boost revenue with our APIs by automating and analyzing customer interactions at scale. We assist across multiple voices and non-voice channels in 30+ languages whilst coaching and training agents with minimal costs.

The problem we are solving

In comparison to worldwide norms, customer support in traditional contact centers is quite appalling, due to a high number of queries, insufficient capacity of agents and inane customer support systems, businesses struggle with a multi-fold rise in customer discontent and bounce rate, resulting in connectivity failure points between them and customers. To address this issue, IITian couple Manish and Rashi Gupta founded Rezo's AI-Powered CX Cloud for Enterprises 2018 to help businesses avoid customer churn and boost revenue without incurring financial costs by providing 24x7 real-time responses to customer inquiries with minimal human interaction.

Roles and Responsibilities:

• Ability to synthesize complex data into actionable goals and act as the custodian for everything on data and insights.  
•  Ensuring data sanctity through instrumentation and monitoring data quality to meet the business needs of the company Developing and monitoring KPIs for each vertical of the business.
• (Revenue/Sales/Finance/Campaigns/Content/Marketing), and at an overall business level and constantly driving the company towards meeting the KPIs.
• Generating product and user insights and working closely with the Product manager to make product and design decisions
• Having a product out view towards problem-solving – Market and competitor research to understand the trends in product design, continuous A/B testing to grow the product KPIs, etc
•  Owning and improving the core issues related to the product.
• Create and maintain client relationships.
• Stay up to date with new products/services and competitors
• Interpersonal skills to work closely with various stakeholders who may have competing interests

Requirements:

• Previous experience in Business / Systems Analysis or Quality Assurance
• 2-5 years of experience
• A degree in IT / Computer Science
• Proven experience in eliciting requirements and testing
• Experience in analyzing data to draw business-relevant conclusions and in data visualization techniques and tools
• Solid experience in writing SQL queries
• Basic knowledge in generating process documentation
•  Strong written and verbal communication skills including technical writing skills

Life at Rezo.AI:

• We take transparency very seriously. Along with a full view of team goals, get a top-level view across the board with our regular town hall meetings.
•  A highly inclusive work culture that promotes a relaxed, creative, and productive environment.
• Practice autonomy, open communication, and growth opportunities, while maintaining a perfect work-life balance.
• Go on company-sponsored offsites and blow off steam with your work buddies.

Perks & Benefits:

Learning is a way of life. Unlock your full potential backed with cutting-edge tools and mentorship. Get the best-in-class medical insurance, programs for taking care of your mental health, and a Contemporary Leave Policy (beyond sick leaves)

Why Us?

We are a fast-paced start-up with some of the best talents from diverse backgrounds. Working together to solve customer services problems. We believe a diverse workforce is a powerful multiplier of innovation and growth, which is key to providing our clients with the best possible service and our employees with the best possible career. Diversity makes us smarter, more competitive, and more innovative.

Explore more here:

http://www.rezo.ai/" target="_blank">www.rezo.ai

Roles and Responsibilities

• Managing available resources such as hardware, data, and personnel so that deadlines are met.
• Analyzing the ML and Deep Learning algorithms that could be used to solve a given problem and ranking them by their success probabilities
• Exploring data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
• Defining validation framework and establish a process to ensure acceptable data quality criteria are met
• Supervising the data acquisition and partnership roadmaps to create stronger product for our customers.
• Defining feature engineering process to ensure usage of meaningful features given the business constraints which may vary by market
• Device self-learning strategies through analysis of errors from the models
• Understand business issues and context, devise a framework for solving unstructured problems and articulate clear and actionable solutions underpinned by analytics.
• Manage multiple projects simultaneously while demonstrating business leadership to collaborate & coordinate with different functions to deliver the solutions in a timely, efficient and effective manner.
• Manage project resources optimally to deliver projects on time; drive innovation using residual resources to create strong solution pipeline; provide direction, coaching & training, feedbacks to project team members to enhance performance, support development and encourage value aligned behaviour of the project team members; Provide inputs for periodic performance appraisal of project team members.

Preferred Technical & Professional expertise

• Undergraduate Degree in Computer Science / Engineering / Mathematics / Statistics / economics or other quantitative fields
• At least 2+ years of experience of managing Data Science projects with specializations in Machine Learning
• In-depth knowledge of cloud analytics tools.
• Able to drive Python Code optimization; ability review codes and provide inputs to improve the quality of codes
• Ability to evaluate hardware selection for running ML models for optimal performance
• Up to date with Python libraries and versions for machine learning; Extensive hands-on experience with Regressors; Experience working with data pipelines.
• Deep knowledge of math, probability, statistics and algorithms; Working knowledge of Supervised Learning, Adversarial Learning and Unsupervised learning
• Deep analytical thinking with excellent problem-solving abilities
• Strong verbal and written communication skills with a proven ability to work with all levels of management; effective interpersonal and influencing skills.
• Ability to manage a project team through effectively allocation of tasks, anticipating risks and setting realistic timelines for managing the expectations of key stakeholders
• Strong organizational skills and an ability to balance and handle multiple concurrent tasks and/or issues simultaneously.
• Ensure that the project team understand and abide by compliance framework for policies, data, systems etc. as per group, region and local standards

Job Description:

• Responsible for helping in data preparation and data pull
• Should be able to cut and slice data to extract interesting insights from the data
• Work closely with cross-functional teams, TPMs & PMs to execute deliverables
• Identify key requirements needed from cross-functional teams and external vendors
• Accountable for delivering against established business goals/objectives
• Analyse, evaluate, and overcome program risks, and produce program reports for senior management and stakeholders
• Working on strategy development to enhance user experience
• Work with development teams to learn existing projects and different use cases.
• Hands-on experience in Excel & MS Office - Expert, SQL will be preferred

Technical Skills:

• Sales & acquisition experience, Customer Service, Customer Relationship, Relationship Management
• Be self-driven, and show the ability to deliver on ambiguous projects with incomplete data

Desired Skills:

• An ability and interest in working in a fast-paced, ambiguous, and rapidly changing environment
• Should have worked on Business Projects for an organization, Ex: customer acquisition, and customer retention.

1-3 Years’ experience (maximum 3 years) in Business Analyst/Program Manager/Project Manager role having good knowledge of SQL, Excel, and MS Office

Role : Senior Customer Scientist 

Experience : 6-8 Years 

Location : Chennai (Hybrid) 
 
 

Who are we? 
 
 

A young, fast-growing AI and big data company, with an ambitious vision to simplify the world’s choices. Our clients are top-tier enterprises in the banking, e-commerce and travel spaces. They use our core AI-based choice engine http://maya.ai/">maya.ai, to deliver personal digital experiences centered around taste. The http://maya.ai/">maya.ai platform now touches over 125M customers globally. You’ll find Crayon Boxes in Chennai and Singapore. But you’ll find Crayons in every corner of the world. Especially where our client projects are – UAE, India, SE Asia and pretty soon the US. 
 
 

Life in the Crayon Box is a little chaotic, largely dynamic and keeps us on our toes! Crayons are a diverse and passionate bunch. Challenges excite us. Our mission drives us. And good food, caffeine (for the most part) and youthful energy fuel us. Over the last year alone, Crayon has seen a growth rate of 3x, and we believe this is just the start. 
 

 
We’re looking for young and young-at-heart professionals with a relentless drive to help Crayon double its growth. Leaders, doers, innovators, dreamers, implementers and eccentric visionaries, we have a place for you all. 
 

Can you say “Yes, I have!” to the below? 
 
 

1. Experience with exploratory analysis, statistical analysis, and model development 
    

1. Knowledge of advanced analytics techniques, including Predictive Modelling (Logistic regression), segmentation, forecasting, data mining, and optimizations 
    

1. Knowledge of software packages such as SAS, R, Rapidminer for analytical modelling and data management. 
    

1. Strong experience in SQL/ Python/R working efficiently at scale with large data sets 
    

1. Experience in using Business Intelligence tools such as PowerBI, Tableau, Metabase for business applications 
    

Can you say “Yes, I will!” to the below? 
 
 

1. Drive clarity and solve ambiguous, challenging business problems using data-driven approaches. Propose and own data analysis (including modelling, coding, analytics) to drive business insight and facilitate decisions. 
    

1. Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimisation, and work with engineering to deploy those algorithms and create impact in production. 
    

1. Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess the relative impact and extract trends 
    

1. Coordinate individual teams to fulfil client requirements and manage deliverable 
    

1. Communicate and present complex concepts to business audiences 
    

1. Travel to client locations when necessary  

Crayon is an equal opportunity employer. Employment is based on a person's merit and qualifications and professional competences. Crayon does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, marital status, pregnancy or related.  
 
 

More about Crayon: https://www.crayondata.com/">https://www.crayondata.com/  
 

More about http://maya.ai/">maya.ai: https://maya.ai/">https://maya.ai/  

GCP  Data Analyst profile must have below skills sets :

• Knowledge of programming languages like https://apc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.simplilearn.com%2Ftutorials%2Fsql-tutorial%2Fhow-to-become-sql-developer&;data=05%7C01%7Ca_anjali%40hcl.com%7C4ae720b3f3cc45c3e04608da3346b335%7C189de737c93a4f5a8b686f4ca9941912%7C0%7C0%7C637878675987971859%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=EImfaJAD1KHOyrBQ7FkbaPl1STtfnf4QdQlbjw72%2BmE%3D&reserved=0" target="_blank">SQL, Oracle, R, MATLAB, Java and https://apc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.simplilearn.com%2Fwhy-learn-python-a-guide-to-unlock-your-python-career-article&;data=05%7C01%7Ca_anjali%40hcl.com%7C4ae720b3f3cc45c3e04608da3346b335%7C189de737c93a4f5a8b686f4ca9941912%7C0%7C0%7C637878675987971859%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Z2n1Xy%2F3YN6nQqSweU5T7EfUTa1kPAAjbCMTWxDCh%2FY%3D&reserved=0" target="_blank">Python
• Data cleansing, data visualization, data wrangling
• Data modeling , data warehouse concepts
• Adapt to Big data platform like Hadoop, Spark for stream & batch processing
• GCP (Cloud Dataproc, Cloud Dataflow, Cloud Datalab, Cloud Dataprep, BigQuery, Cloud Datastore, Cloud Datafusion, Auto ML etc)

As the successful candidate, you will be required to:

• Design, develop and maintain data quality assurance framework
• Work in conjunction with BI and Data Engineers to ensure high quality Data Deliverable
• Design and develop testing frameworks to test ETL jobs, BI reports and Dashboards and other data pipelines
• Write SQL scripts to validate data in the data repositories against the data in the source systems
• Write SQL scripts to validate data surfacing in BI assets against the data sources
• Ensure data quality by checking against our ODS and the front-end application
• Track, monitor and document testing results

To be eligible for this role, you should possess the following:

• Demonstrated ability to write complex SQL/TSQL queries to retrieve/modify data
• Ability to work in an Agile environment
• Ability to learn new tools and technologies and adapt to an evolving tech-scape

Envoy Global is an equal opportunity employer and will recruit, hire, train and promote into all job levels the most qualified applicants without regard to race, colour, religion, sex, national origin, age, disability, ancestry, sexual orientation, gender identification, veteran status, pregnancy, or any other protected classification.

4-6 years of total experience in data warehousing and business intelligence

3+ years of solid Power BI experience (Power Query, M-Query, DAX, Aggregates)

2 years’ experience building Power BI using cloud data (Snowflake, Azure Synapse, SQL DB, data lake)

Strong experience building visually appealing UI/UX in Power BI

Understand how to design Power BI solutions for performance (composite models, incremental refresh, analysis services)

Experience building Power BI using large data in direct query mode

Expert SQL background (query building, stored procedure, optimizing performance)

Job Role & Responsibility:

VMWare NSBU HCX team is looking for passionate engineers with a startup mindset and ready to solve business problems by applying technical engineering knowledge. You will be a part of enterprise class HCX cloud mobility platform to help customers solve datacenter evacuation, consolidation and hybrid cloud use cases. You’ll be part of a dynamic engineering team where a passion for innovation is a key to address technical problems, improve performance and scalability and focus on continuous improvement is of paramount importance. You will be a part of R&D development team focused on various aspects of HCX ranging from workload mobility to networking in the context of hybrid cloud paradigm. As part of the job, you will work with senior architects and other engineers of the team to deliver world class enterprise class product.

Required Skills:

• Background with Computer Science fundamentals (based on a BS or MS in CS or related field) with 4+ years of substantial professional experience
• Strong programming skills in Java/Go/Python
• Knowledge of distributed systems
• Understanding of Micro Services architecture, REST APIs Design and Development 
• Understanding of Kubernetes, Kafka, No-sql, Java/Sprint, Client MVC
• Exposure to one or more UI technologies
• Organized and passionate about details; able to effectively perform multiple/concurrent tasks within deadlines in a dynamic environment

Preferred Skills:

• Strong knowledge about virtualization, and/or container technologies
• Experience in SDN/Networking/Network Management domain is added plus
• Exposure to AWS, Azure is added plus

Power BI Developer

Senior visualization engineer with 5 years’ experience in Power BI to develop and deliver solutions that enable delivery of information to audiences in support of key business processes. In addition, Hands-on experience on Azure data services like ADF and databricks is a must.

Ensure code and design quality through execution of test plans and assist in development of standards & guidelines working closely with internal and external design, business, and technical counterparts.

Candidates should have worked in agile development environments.

Desired Competencies:

• Should have minimum of 3 years project experience using Power BI on Azure stack.
• Should have good understanding and working knowledge of Data Warehouse and Data Modelling.
• Good hands-on experience of Power BI
• Hands-on experience T-SQL/ DAX/ MDX/ SSIS
• Data Warehousing on SQL Server (preferably 2016)
• Experience in Azure Data Services – ADF, DataBricks & PySpark
• Manage own workload with minimum supervision.
• Take responsibility of projects or issues assigned to them
• Be personable, flexible and a team player
• Good written and verbal communications
• Have a strong personality who will be able to operate directly with users

• Extensive exposure to at least one Business Intelligence Platform (if possible, QlikView/Qlik Sense) – if not Qlik, ETL tool knowledge, ex- Informatica/Talend
• At least 1 Data Query language – SQL/Python
• Experience in creating breakthrough visualizations
• Understanding of RDMS, Data Architecture/Schemas, Data Integrations, Data Models and Data Flows is a must

We are looking for a Senior Data Analyst who will support our product, sales, leadership, and marketing teams with data collection and organization of data in order to draw conclusions, make predictions, and drive informed decision making.

• The ideal candidate is adept at using large data sets to find opportunities for product and marketing optimization and using data models to test the effectiveness of different courses of action.
• Not just that, you also understand how to clean and organize data for complete analysis and calculations using spreadsheets, SQL Python, and R programming.
• Visualizing and presenting data findings in dashboards, presentations and commonly used visualization platforms must be your strength.

SKILLS YOU MUST HAVE:

• Data Cleansing, Data Analysis, Data Visualization (DataViz), SQL Questioning, Decision-Making, Problem Solving, Data Collection, Data Ethics, Sample Size Determination, Spreadsheet,

RESPONSIBILITIES:

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases (GOOGLE ANALYTICS, User DB, and 3rd party Marketing Analytics tools) to drive optimization and improvement of product development, marketing techniques, and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Strong understanding of Google Analytics (GA) fundamentals and how to work with raw GA data
• Automate custom data fetching from Google Analytics dashboard to excel sheet and other primary and secondary sources
• Work with complex SQL queries
• Work with Big Query with GA integration to extract data
• Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
• Filter Data by reviewing reports and performance indicators to identify and correct code problems
• Developing and maintaining databases, data systems reorganizing data in a readable format
• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction
• Assign a numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Understanding of statistical concepts like Statistical significance, t-test, and z-test for AB testing
• Performing analysis to assess quality and meaning of data
• Preparing reports for the management stating trends, patterns, and predictions using relevant data
• Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
• Robust understanding of Mix panel and Amplitude

Skill requirement:

• 6-8 years of experience in database management and a strong understanding of Google Analytics
• Strong mathematical skills to help collect, measure, organize, and analyze data
• Experience using statistical computer languages (R, Python, MATLAB, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
• Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
• Knowledge of data visualization software like Tableau
• Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
• Accuracy and attention to detail
• Adept at queries, advanced excel management, writing reports, and making presentations
• Team-working skills
• Verbal and Written communication skills
• Proven working experience in data analysis

Pingahla is recruiting business intelligence Consultants/Senior consultants who can help us with Information Management projects (domestic, onshore and offshore) as developers and team leads. The candidates are expected to have 3-6 years of experience with Informatica Power Center/Talend DI/Informatica Cloud and must be very proficient with Business Intelligence in general. The job is based out of our Pune office.

Responsibilities:

• Manage the customer relationship by serving as the single point of contact before, during and after engagements.
• Architect data management solutions.
• Provide technical leadership to other consultants and/or customer/partner resources.
• Design, develop, test and deploy data integration solutions in accordance with customer’s schedule.
• Supervise and mentor all intermediate and junior level team members.
• Provide regular reports to communicate status both internally and externally.
• Qualifications:
• A typical profile that would suit this position would be if the following background:
• A graduate from a reputed engineering college 
• An excellent I.Q and analytical skills and should be able to grasp new concepts and learn new technologies.
• A willingness to work with a small team in a fast-growing environment.
• A good knowledge of Business Intelligence concepts

Mandatory Requirements:

• Knowledge of Business Intelligence
• Good knowledge of at least one of the following data integration tools - Informatica Powercenter, Talend DI, Informatica Cloud
• Knowledge of SQL
• Excellent English and communication skills
• Intelligent, quick to learn new technologies
• Track record of accomplishment and effectiveness with handling customers and managing complex data management needs