Product Analyst

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