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Paytm

Deputy Manager - Data Analyst (Finance)

Paytm Gurugram, Haryana, India

Financial Services · 10,001+ employees

20 h ago
data-analyst Mid (2-5 yrs) Full-time India
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About the role

The role involves creating and maintaining financial dashboards while performing data analysis to track transaction trends and profitability. Additionally, the analyst will support FP&A teams with monthly closings and automate routine financial reporting processes.

What they look for

SQL Excel Power BI Tableau Python Financial Analysis Data Analysis Reconciliation Auditing FP&A Revenue Forecasting Budgeting Variance Analysis Unit Economics Process Automation

Requirements

Candidates must have 2-4 years of experience in a finance or fintech environment with strong proficiency in SQL and Excel. A bachelor's degree in a relevant field such as Finance, Data Analytics, or Engineering is required.

Full 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.

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