JobCubby JobCubby
Sign up
Paytm

Data Analyst (Finance)

Paytm Gurugram, Haryana, India

Financial Services · 10,001+ employees

Aug 12
data-analyst Mid (2-5 yrs) Full-time India
Create a free account to apply — email only, no card. You can also save this posting or score it against your profile with AI.

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 Paytm

Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology.

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.

\n

\n

Similar roles