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Tier-1 fintech brand, mid-level generalist data role, and metro locations increase applicant competition.
Requires finance/payments domain experience, reducing transferability across industries.
Explicit 2–4 years requirement plus mandatory SQL, BI tools, Python, and finance experience make filters strict.
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Develop and maintain dashboards (Power BI/Tableau) to monitor key financial metrics such as revenue, margins, transaction volumes, and operating costs.
Conduct SQL-based analysis of large financial datasets to identify transaction trends and profitability drivers.
Automate routine financial reporting processes using SQL and Python to improve efficiency and support Finance and FP&A teams.
2–4 years of experience as a Data Analyst in Finance, Payments, or FinTech domain.
Proficient in SQL, Excel, and dashboard tools like Tableau or Power BI.
Bachelor's degree in Finance, Data Analytics, Engineering, Economics, or related field.
Strong understanding of financial concepts such as P&L, payments/settlements, and unit economics.
Experienced in handling financial data analysis and reporting within finance or payment-oriented environments.
Skilled in building scalable data automation processes to reduce manual efforts.
Able to collaborate effectively with Finance, FP&A, and Product teams to translate data insights into financial decisions.