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Tier-1 brand, mid-level 2–5 years, and Pune metro increase applicant competition.
Analytics product skills are transferable across industries, but payments preference adds moderate specificity.
Explicit 2–5 years plus mandatory SQL, BI, and product/data-governance skills increase filtering strictness.
Own product operations including go-to-market planning, user onboarding, platform maintenance, and continuous improvement of data quality and insights delivery.
Lead data governance efforts by defining and monitoring data quality standards, validation frameworks, and ensuring reliable insights for customers.
Use SQL, Python, and AI-based workflows to perform data analysis, automate reporting and operational processes, and manage feedback and product usage metrics across cross-functional teams.
2–5 years related work experience, preferably in Financial Services, Payments, or Data Analytics domains.
Bachelor’s degree in business, data science, information technology, or equivalent work experience.
Strong hands-on SQL skills including joins, aggregations, and data validation queries.
Experience with product management tools like Jira and Confluence; knowledge of Python and BI tools (Power BI/Tableau) is a plus.
Experience in agile product management for analytical products or business intelligence solutions with a focus on data-driven decision making and governance.
Capable of coordinating across product, engineering, data, sales, and regional teams to drive adoption and continuous enhancement.
Proficient in automating workflows with AI agents and managing feedback loops to improve product lifecycle and data quality.