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Strong Paytm brand and metro location increase applicants, but senior product-analytics specialization limits broad competition.
Product-analytics and SQL skills transfer across industries, though adtech preference increases domain specificity.
Requires strong SQL, BI and product-analytics expertise but lacks explicit years requirement.
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Drive data-led decision making for Paytm Ads platform performance, user behavior, and campaign outcomes.
Build and maintain automated dashboards and BI reports for key product and revenue metrics.
Perform advanced SQL analysis, A/B testing, cohort analysis, and optimize digital marketing metrics such as CAC, ROI, CTR, and conversions.
Bachelor's degree in Engineering (B.E./B.Tech) from a reputed institute.
Experience in Product Analytics, Business Strategy, Management Consulting, or Sales/Marketing Analytics.
Strong proficiency in SQL for large-scale data analysis and reporting.
Experience with BI tools like Superset, Tableau, Power BI, or Looker.
Skilled in translating business/product questions into structured, actionable analysis for cross-functional stakeholders.
Experienced in product analytics with solid understanding of marketing metrics, funnels, experimentation frameworks, and digital marketing platforms like Google Ads and Meta Ads Manager.
Operates effectively in data-driven environments intersecting product, sales, and operations teams, preferably with exposure to AdTech or MarTech ecosystems.