Senior Product Analyst

About the Opportunity:

Role :

Level :

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About the Role

As a Product Analyst, the individual will co-own product and business metrics, analyze large and complex datasets, and deliver actionable insights that influence strategy and execution.

This role involves partnering closely with Product Managers to dive deep into customer experience metrics, build intuitive dashboards, and develop predictive models to forecast consumer behavior. Additionally, the analyst will be responsible for generating daily reports, automating recurring reports wherever possible, and conducting in-depth analysis to track and improve key business performance indicators.

What will you be doing

• Deep-dive into funnel metrics, behavioral data, customer feedback, and booking patterns to uncover friction points, drop-offs, and growth opportunities.
• Collaborate closely with product managers, engineers, and data scientists to codefine problem statements, prioritize product bets, and quantify impact.
• Identify, analyze, and interpret trends and patterns in complex data sets.
• Integrate Gen AI models (e.g., prompt-driven user clustering, LLM-powered segmentation, sentiment extraction) into analysis pipelines to accelerate insights.
• Develop and maintain large data sets, and create scalable dashboards and AIaugmented storytelling tools for product reviews, experiment outcomes, and leadership reporting.
• Monitor market trends, competitive benchmarks, and user research to recommend feature sets that align with industry shifts and evolving user needs.
• Help define success metrics for product initiatives, run A/B tests, and evaluate performance post-launch.
• Build and optimize data pipelines to enable faster feedback loops between user behavior and product iteration.
• Present findings through visually engaging, compelling narratives that drive confident decision-making

Qualification & Experience

• Knowledge of

  Advanced SQL queries, Python and Advanced Excel is must

  .
• An engineering graduate from a

  reputed institute with 2 - 6 years

  of experience in data or

  product analytics roles

  within a

  consumer-facing, technology-enabled business or product environment

  .
• Familiarity with BI technologies.
• Adept at queries, report writing and presenting findings.
• Exposure to

  Gen AI tools

  or prompt engineering,

  LLM-based data summarization, or experience working with NLP models

  is a strong plus.
• Knowledge of statistics and experience using statistical packages for analysing datasets (SPSS, SAS, R, etc) is preferred.

Key Success Factors for the Role

• Passion for data and a strong ability to solve complex problems.
• Excellent communication, influencing, interpersonal, and stakeholder management skills.
• High on energy, a go-getter, and a strong team player.