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PayPal India Pvt Ltd is seeking a Finance Manager to be the analytical engine behind our payments economics, owning data, reporting and dashboards that explain TPV, revenue and transaction expenses, and how IC+ pricing impacts margin.
You will join the Payments Finance team, partnering with Controllership, Corporate FP&A and Product to drive forecasting, budgeting and margin initiatives while building scalable dashboards in Tableau/Looker/Power BI.
We're looking for a Finance Manager to be the analytical engine behind our payments economics. You'll own the data, reporting and dashboards that explain how our Total Processing Volume (TPV), revenue and transaction expenses (interchange, scheme fees and processing fees) turn into transaction margin. Most of our pricing is Interchange++ (IC+), so cost changes flow through to revenue.
You’ll join the Payments Finance team, reporting to the Senior Finance Manager. The team owns revenue and transaction expense performance for the business. We work closely with Accounting on month‑end close and reconciliation, with Corporate Finance on forecasting and planning, and with Product on pricing and margin initiatives. We're a small, hands-on team that values curiosity, ownership and clear answers to messy questions.
Facilitate collaborative engagement with business to cultivate strong partnership and unlock incremental value for the enterprise
Ensure in‑depth understanding of the business to proactively identify key business drivers
Effectively communicate financial results & key drivers through concise & effective storytelling
Streamline, improve, & automate designated workstreams and processes to drive efficiency
Manage business case modeling, run deep dive analysis, and other ad‑hoc financial analysis
Monitor expense and headcount plan vs actual and provide analysis/recommendation for business partners and Finance team
Work autonomously but in collaboration with teammates and business partners supporting a global business Guide the business through various finance‑related tasks
Own budgeting, forecasting, month‑end close, variance analysis, and reporting
Collaborate with cross‑functional teams such as Controllership, Corporate FP&A, Legal, and a broad group of business stakeholders
5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Your way to impact: Turn transaction‑level data into clear insight on what is driving take rate, TE rate and margin: mix, card type, region, merchant segment, scheme fee changes and more.
Build the dashboards leadership uses to monitor payments performance, replacing manual spreadsheets with scalable, automated reporting.
Find margin opportunities, such as interchange optimization, scheme fee leakage, IC+ pass‑through gaps and pricing outliers, and size them for Product and leadership.
Improve the accuracy of forecasts by giving Corporate Finance reliable volume and rate drivers.
Strengthen the link between operational data and the general ledger so our numbers tie out.
In your day‑to‑day role you will be responsible for: Writing and maintaining SQL queries to pull and transform transaction, revenue and cost data. Building and maintaining dashboards in [Tableau / Looker / Power BI] tracking TPV, revenue, transaction expenses, take rate, TE rate and margin. Running monthly and quarterly variance analysis (actual vs. forecast vs. prior period) and explaining the drivers in plain language. Supporting month‑end close by reconciling revenue and transaction expenses with Accounting. Monitoring scheme fee and interchange changes and quantifying their impact on cost and pass‑through. Doing ad hoc deep dives for leadership and Product, for example merchant profitability or pricing scenarios. Documenting data definitions and metric logic so everyone uses one version of the truth.
4+ years in FP&A, revenue analytics, business intelligence or a similar analytical role.
Strong SQL skills: joins, window functions, CTEs, and working with large transaction‑level datasets.
Hands‑on dashboarding experience in Tableau, Looker, Power BI or similar.
Strong Excel/Sheets and financial modeling skills.
A solid grasp of P&L concepts and variance analysis.
The ability to explain complex numbers simply to non‑finance partners.
Payments experience is a strong plus: interchange, scheme fees, IC+ vs. blended pricing, acquiring and processing.
Nice to have: Python, or data modeling experience; exposure to multi‑currency or cross‑border payments.
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Mid Level