Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 brand, mid-level product title, metro location, and broad analytics skillset drive high competition.
Product analytics skills are transferable but payments and data governance preference raise domain specificity.
Explicit 2–5 years plus mandatory SQL, BI and product/data governance experience increases shortlisting strictness.
Own product operations and enhancements focused on data-driven decision making, including go-to-market planning, user onboarding, platform maintenance, and improving data quality and insights delivery.
Lead data governance initiatives by defining data quality standards, validation frameworks, and monitoring to ensure reliable customer insights.
Use SQL and Python for data analysis, automate reporting and operational workflows using AI agents, and coordinate cross-functional teams to align on data insights and product performance metrics.
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.
Mandatory strong SQL skills including joins, aggregations, and data validation queries.
Experience with product operations, data governance, and working knowledge of BI tools and tools like Jira, Confluence.
Experienced in agile product management of analytical products and business intelligence solutions.
Skilled in leveraging AI tools (e.g., GitHub Copilot, MS Copilot) to automate workflows and feedback management.
Proven ability to coordinate cross-functional teams and use data to drive product strategy and continuous improvement.