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Data AnalyticsAs 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.
Data AnalyticsJob 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
JavascriptData AnalyticsWebsite: www.https://sgnldomain.online/click?redirect=http%3A%2F%2Ftatvic.com%2F&;dID=1615815352065&linkName=tatvic.com" target="_blank">tatvic.com
Job Description
Responsibilities of Technical lAnalyst:
Responsibilities w.r.t Customer:
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Requirement gathering by asking questions to the customer and getting to the main objective behind the query.
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Analyze and understand and when necessary document the requirement
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Design or develop PoC as per the business requirements / Customer development team requirements
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Completing the implementation of the task as per the schedule
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Should make extensive use of analytics data to generate insights and recommendations
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Work with client technical team to fix the tracking issues
Team Responsibilities
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Participate in the recruitment process based on your seniority. This includes interviews, creating test as required based on the need to recruit people who are compatible with our culture and skilled to accomplish the job.
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Share and coach colleagues in making the team more effective.
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Share and Create content for training and publishing. These includes blogs and webinars.
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Identify potential team members who are worthy of band change and prepare them with required guidance
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Identify the repetitive tasks and manage to delegate to other team members or automate the process to reduce TAT & improve the productivity
Technical Responsibilities
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Understanding the Event Schemas and Scripting
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Designing solutions using GTM configurations for various environments
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Creating database schemas as per business requirements
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Create technical specifications and test plans
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Development within any frameworks/platforms as used by the customers websites platform for implementing tracking components.
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Understand and implement the various scripts and code which can work with different Analytics Tools
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Understand the connection of GCP with GA 360 and its working
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Integrate existing software products and getting various platforms to work together
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Configure alerts on top of tracking to monitor & correct the same
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Building reusable, optimized, scalable, secure code and libraries for future use
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Initiate new research tasks which enable the analyst at Tatvic or Client to leverage to improve the business KPIs
- 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
Python
R Programming
Data ScienceData Analytics Job Title:- Assistant Manager - Business Analytics
Age: Max. 35years.
Working Days:- 6 days a week
Location:- Ahmedabad, Gujarat
Monthly CTC:- Salary will commensurate with experience.
Educational Qualification:- The candidate should have bachelor’s degree in
IT/Engineering from any recognized university..
Experience:- 2+ years of work experience in AI/ML/business analytics with Institute of
repute or corporate.
Required Technical Skills:-
A fair bit of understanding of Business Analytics, Data Science, Visualization/Big Data
etc.
Basic knowledge of different analytical tools such as R Programming, Python etc.
Hands on experience in Moodle Development (desirable).
Good knowledge in customizing Moodle functionalities and developing custom themes
for Moodle (desirable).
An analytical mind-set who enjoy helping participants solving problems and turning data
into useful actionable information
Key Responsibilities include:-
Understand the tools and technologies specific to e-learning and blended learning
development and delivery.
Provide academic as well as technical assistance to the faculty members teaching the
analytics courses.
Working closely with the Instructors and assisting them in programming, coding, testing
etc.
Preparing the lab study material in coordination with the Instructors and assisting
students in programming lab and solving their doubts.
Works on assignments dealing with the routine and daily operation, use, and
configuration of the Learning Management System (LMS).
Administers learning technology platforms including the creation of courses,
certifications and other e-learning programs on the platforms.
Responsible to provide support within the eLearning department, provide technical
support to our external clients, and administrate the Learning Management System.
Creates user groups and assigns content and assessments to the right target audience,
runs reports and creates learning evens in the LMS system.
Performs regular maintenance of LMS database, including adding or removing courses.
Uploads, tests, deploys and maintains all training materials/learning assets hosted in the
LMS.
Ability to Multi-task.
Ability to demonstrate accuracy on detailed oriented and repetitive job assignments.
Responsible and reliable
Data Analytics
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