Job Title: Senior Data & BI Analyst (Full-Stack)
Experience Required: 4 to 6 Years
Employment Type: Contractual / Third-Party Deployment
Location: Onsite - Mumbai Malad (Full time from office, all days, except designated holidays)
Reports to: Lead - Data Analytics & AI
Role Objective
We are seeking a highly analytical and versatile Senior Data & BI Analyst to join our Enterprise Technology Group. This is not a pure front-end visualization role. The ideal candidate will operate as a \"full-stack\" analyst—taking full ownership of the data pipeline from backend querying and ETL processes, to deep-dive business analysis, and finally, developing executive-ready dashboards in Tableau, Power BI, SAP SAC, Looker etc. Additionally, this role requires a forward-thinking approach, utilizing GenAI and LLM tools to rapidly prototype data solutions before moving them to production.
Key Responsibilities
1. End-to-End Dashboarding & Visualization (Primary)
- Design, build, enhance and run & maintain complex, interactive, and highly optimized dashboards in Tableau, Power BI, SAP SAC, Looker, etc.
- Translate business requirements into compelling visual narratives that drive executive decision‑making.
- Develop intuitive, interactive dashboards focused on visually appealing data storytelling to guide stakeholders from high‑level trends down to actionable root causes
- Drill down capability for all reports and dashboard should be in‑built – e.g. one can start with India and then create a regional or multi‑region cohort of our viewers for a program or for a genre
- Build, Maintain, Enhance device‑agnostic Desktop, Tablet and Mobile friendly dashboards
- Manage the administration, access control, and performance tuning of existing dashboards to ensure zero downtime and optimal load speeds.
2. Backend Querying & Data Engineering (ETL)
- Write advanced, highly optimized SQL queries to extract, transform, and load (ETL) data from various databases and data warehouses.
- Build and maintain robust data models that seamlessly connect backend architecture to front‑end BI tools.
- Troubleshoot data discrepancies, optimize query performance, and ensure data integrity across all reporting layers.
3. Deep‑Dive Analysis & Business Intelligence (Primary)
- Go beyond simply reporting numbers to actively uncover trends, anomalies, and actionable business insights.
- Conduct ad‑hoc deep‑dive analyses to answer complex business questions, acting as a strategic partner to internal stakeholders.
- Present findings clearly to non‑technical business leaders, bridging the gap between raw data and business strategy.
4. GenAI Prototyping & Innovation (Primary)
- Leverage GenAI and Large Language Models (LLMs) to quickly build Proof of Concepts (POCs) for new dashboards, metrics, and analytical frameworks.
- Translate successful GenAI‑driven mockups and insights into fully functional, scalable production dashboards in Tableau/Power BI/SAP SAC/Looker etc.
- Deploy the use of AI tools to faster pipeline development, data lineage, creation of semantic layer and any data cleaning, as needed
- Stay updated on the latest AI‑driven analytics trends to continuously improve the team’s efficiency and output quality.
Required Skills & Qualifications
- Experience: 4 to 6 years of hands‑on experience in Data Analytics, Business Intelligence, or Data Engineering.
- BI Tools: Expert‑level proficiency in Tableau and Power BI, (SAP SAC, Looker optional can be learned on the job) including advanced calculations (LODs, DAX), parameter actions, and data blending.
- Database & Querying: Strong command of SQL. Experience with cloud data platforms (e.g., AWS Redshift, Snowflake, or Google BigQuery) and relational databases.
- ETL/Scripting: Proven ability to build and manage ETL pipelines. Proficiency in Python for data manipulation and Airflow jobs.
- GenAI Aptitude: Experience using AI tools (ChatGPT, Gemini, Copilot, Claude, etc.) for data querying, code generation, or rapid dashboard prototyping. And converting the aligned format into a working real‑world project.
- Soft Skills: Exceptional problem‑solving abilities, strong business acumen, and the capability to work independently with minimal supervision.
- Extreme attention to detail and experience building highly polished dashboards for senior leadership/C‑suite and having an eye for good design aesthetics
- Background - Computer Engineering
Behavioral Attributes
- High on ethics
- High Agency
- Problem Solver
- First‑Principles Thinker