Product and Data Analyst

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

Reports to: Lead - Product & Data 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