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Metro Bengaluru and popular Data Analyst role at well-funded fintech with broad SQL requirements drive high competition.
SQL and analytics are transferable, but payments and reconciliation domain expertise increases sensitivity.
Strong mandatory SQL and payments data skills but no explicit years means moderate shortlisting strictness.
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Analyze and monitor transaction success rates, settlement cycles, reconciliation, and vendor performance to ensure smooth financial operations for millions of users.
Write complex SQL queries to extract and prepare large transactional datasets for analysis independently.
Translate data insights into actionable recommendations impacting payment processes and business decisions.
Bachelor's degree in a quantitative field (Engineering, Economics, Statistics, Mathematics, etc.).
Strong proficiency in SQL with ability to write complex queries including joins, window functions, and CTEs.
Experience working with payment or transaction data including success rates, failures, settlements, and reconciliation.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in fintech, payments, or banking-adjacent sectors handling large-scale transactional datasets.
Capable of independently managing data extraction, cleaning, and structuring without extensive supervision.
Familiar with dashboarding tools (Metabase, Looker, Mixpanel) and possibly Python or Excel for ad-hoc analyses.