Deputy Manager - Data Analyst (Finance)

Paytm; Gurugram District; On-site; INR 600,000 - 900,000; Full time

Benefits offered by this job

Health insurance

Job summary

Paytm is seeking a Data Analyst (Finance) to join our finance team in India, focusing on analyzing financial data, tracking payments performance, and automating daily reporting. You will collaborate with Finance, FP&A, and Product teams to drive data-driven financial decisions.

You will build dashboards in Power BI/Tableau, query data with SQL, and support monthly closings, budgeting, and forecasting while improving processes through automation.

Qualifications

• 2–4 years of experience as a Data Analyst in Finance, Payments, or FinTech.
• Strong proficiency in SQL and Excel; visualization tools like Tableau/Power BI.
• Solid understanding of financial basics, P&L, payments, settlements, and unit economics.

Responsibilities

• Create and maintain dashboards to track revenue, margins, transactions, and operating costs.
• Query large databases using SQL to analyze transaction trends and profitability.
• Reconcile transaction data across banks, payment gateways, and accounting records for accuracy.
• Support FP&A with monthly closings, budgeting, variance analysis, and revenue forecasting.
• Automate routine financial reports using SQL and Python to reduce manual Excel work.

Skills

Data analysis

Dashboards

Forecasting

Education

Bachelor’s degree in Finance, Data Analytics, Engineering, Economics, or related field

Tools

SQL

Excel

Power BI

Tableau

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.