Deputy Manager - Data Analyst (Finance)

Job description

Job Title: Data Analyst (Finance) Location: Noida / Gurgaon About the Role: We are looking for a Data Analyst with prior experience in a Finance team to help analyze financial data, track payments performance, and automate daily reporting. You will work closely with Finance, FP&A, and Product teams to drive data-backed financial decisions. Key Responsibilities: ● Dashboards & Reporting: Create and maintain Power BI/Tableau dashboards to track financial metrics like revenue, margins, transaction volumes, and operating costs. ● Data Analysis: Query large databases using SQL to understand transaction trends, cost structures, and profitability. ● Reconciliation & Auditing: Reconcile transaction data across banks, payment gateways, and accounting records to ensure accuracy. ● FP&A Support: Help Finance and FP&A teams with monthly closings, budgeting, variance analysis, and revenue forecasting. ● Process Automation: Automate routine financial reports using SQL and Python to reduce manual Excel work. What We Are Looking For: ● Experience: 2–4 years of experience as a Data Analyst within a Finance, Payments, or FinTech environment. ● Technical Skills: Strong proficiency in SQL and Excel. Visualisation dashboards or business intelligence tools (Tableau, Power BI etc) ● Finance Knowledge: Solid understanding of financial basics, profit & loss (P&L), payments/settlements, and unit economics. ● Education: Bachelor’s degree in Finance, Data Analytics, Engineering, Economics, or a related field. Job Title: Data Analyst (Finance) Location: Noida / GurgaonAbout the Role: We are looking for a Data Analyst with prior experience in a Finance team to help analyze financial data, track payments performance, and automate daily reporting. You will work closely with Finance, FP&A, and Product teams to drive data-backed financial decisions. Key Responsibilities: ● Dashboards & Reporting: Create and maintain Power BI/Tableau dashboards to track financial metrics like revenue, margins, transaction volumes, and operating costs. ● Data Analysis: Query large databases using SQL to understand transaction trends, cost structures, and profitability. ● Reconciliation & Auditing: Reconcile transaction data across banks, payment gateways, and accounting records to ensure accuracy. ● FP&A Support: Help Finance and FP&A teams with monthly closings, budgeting, variance analysis, and revenue forecasting. ● Process Automation: Automate routine financial reports using SQL and Python to reduce manual Excel work. What We Are Looking For: ● Experience: 2–4 years of experience as a Data Analyst within a Finance, Payments, or FinTech environment. ● Technical Skills: Strong proficiency in SQL and Excel. Visualisation dashboards or business intelligence tools (Tableau, Power BI etc) ● Finance Knowledge: Solid understanding of financial basics, profit & loss (P&L), payments/settlements, and unit economics. ● Education: Bachelor’s degree in Finance, Data Analytics, Engineering, Economics, or a related field.