Padmi
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Paytm

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Product Analyst & Assistant Manager & Agent & Merchant

IndiaPosted 3 months ago
Data Science And StatisticsMid-levelFull Time; Regular
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Role Overview: You will join the product team at Paytm as a Product Analyst, where your primary responsibility will be to support data-driven decision-making throughout the product lifecycle. Your role will involve analyzing product performance, user behavior, and key metrics to enhance customer experience and drive product growth. Working closely with Product Managers, Engineering, Design, and other stakeholders, you will translate data into actionable insights for product development. Key Responsibilities: - Analyze product performance, user behavior, and feature adoption to identify optimization opportunities. - Define, track, and monitor product KPIs such as engagement, retention, conversion, and growth. - Build and maintain dashboards and reports utilizing spreadsheets, SQL, and BI tools. - Collaborate with Product Managers to aid in roadmap prioritization and feature impact analysis. - Conduct funnel, cohort, trend, and root-cause analysis. - Support product launches by establishing success metrics and conducting post-launch analysis. - Utilize product ratings, reviews, and customer feedback to drive product improvements. - Drive small to medium-scale analytics initiatives end-to-end. - Present insights and recommendations to cross-functional teams. - Benchmark products against industry trends and best practices. Qualification Required: - Bachelors degree in Business, Economics, Mathematics, Engineering, Computer Science, or a related field; Masters degree preferred. - 3-5 years of proven experience in a Product Analyst or product-focused analytics role. - Strong proficiency in SQL and working with relational databases. - Strong experience with spreadsheet-based analysis and dashboarding (Excel / Google Sheets). - Hands-on experience in using AI tools or agentic AI for workflows, documentation, data analysis, and generating insights. - Strong analytical, problem-solving, and data storytelling skills. - Excellent written and verbal communication skills. - Ability to work under pressure and adapt to changing priorities. Role Overview: You will join the product team at Paytm as a Product Analyst, where your primary responsibility will be to support data-driven decision-making throughout the product lifecycle. Your role will involve analyzing product performance, user behavior, and key metrics to enhance customer experience and drive product growth. Working closely with Product Managers, Engineering, Design, and other stakeholders, you will translate data into actionable insights for product development. Key Responsibilities: - Analyze product performance, user behavior, and feature adoption to identify optimization opportunities. - Define, track, and monitor product KPIs such as engagement, retention, conversion, and growth. - Build and maintain dashboards and reports utilizing spreadsheets, SQL, and BI tools. - Collaborate with Product Managers to aid in roadmap prioritization and feature impact analysis. - Conduct funnel, cohort, trend, and root-cause analysis. - Support product launches by establishing success metrics and conducting post-launch analysis. - Utilize product ratings, reviews, and customer feedback to drive product improvements. - Drive small to medium-scale analytics initiatives end-to-end. - Present insights and recommendations to cross-functional teams. - Benchmark products against industry trends and best practices. Qualification Required: - Bachelors degree in Business, Economics, Mathematics, Engineering, Computer Science, or a related field; Masters degree preferred. - 3-5 years of proven experience in a Product Analyst or product-focused analytics role. - Strong proficiency in SQL and working with relational databases. - Strong experience with spreadsheet-based analysis and dashboarding (Excel / Google Sheets). - Hands-on experience in using AI tools or agentic AI for workflows, documentation, data analysis, and generating insights. - Strong analytical, problem-solving, and data storytelling skills. - Excellent written and verbal communication skills. - Ability to work under pressure and adapt to changing priorities.

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