Senior Data & BI Analyst

Location: Onsite - Mumbai – Malad (Full time from office)

Reports to: Lead - Senior Data & BI Analyst

Must Have: Hand-on SQL, A/B Testing concept, Product Analytics, BI Tools

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) (Secondary)

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