FPandA Manager

Payoneer; Bengaluru; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

Payoneer is seeking an experienced FP&A Manager in Bengaluru to blend advanced financial modeling with hands-on data analytics. You will partner with global sales and FP&A teams, transform source data into decision-ready datasets, and build dashboards to guide strategic decisions.

You will turn complex metrics into actionable insights, automate data pipelines, and support month-end close while contributing to long-range planning and ROI assessments.

Qualifications

• Advanced financial modeling and data analysis capabilities.
• Strong SQL skills for data extraction from data warehouses.
• Proficiency in BI dashboards (Looker, Power BI) and data visualization.

Responsibilities

• Extract, Transform & Load data from data warehouses and optimize datasets for analysis.
• Analyze revenue and OPEX trends to identify opportunities and risks.
• Design and maintain automated executive dashboards and reports for senior leadership.
• Build scalable financial models and support strategic decision making.
• Collaborate with GTM and Global FP&A teams across regions.

Skills

SQL

Looker

Power BI

Pigment

Power Pivot

Python

Data analytics

Tools

BigQuery

ETL tools

Job description

Job Description:

About Payoneer

Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.

By taking the complexity out of the financial workflows-including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence-we give businesses the tools they need to work efficiently worldwide and grow with confidence.

What you’ll be spending your time on:

The Financial Planning and Analysis Manager will serve as a key member of the FP&A GTM team, combining advanced financial modeling, finance business partnering, and hands‑on data analytics to influence the strategic direction of the global business. This role will report to our FP&A Senior Manager, in Hong Kong

Are you someone who can turn complex business drivers into advanced financial models, transform raw operational data into reliable datasets, and build dashboards that help leaders act? This role is a unique blend of corporate finance partner, advanced financial modeler, and data analytics builder. You won’t just analyze financial outcomes; you will work hands‑on with data pipelines, transform source data into decision‑ready datasets, and build the reporting infrastructure needed to drive smarter decisions. You’ll partner closely with our global sales organization, dive deep into meaningful analysis, and help sharpen our financial policies by bridging raw data, business intelligence, and high‑level financial strategy

Is this you?

The Payoneers are:

Accountable | Adaptable | Collaborative | Communicative | Fast Learners | Independent | Motivated | Problem Solvers | Resilient | Technically Proficient

For this role you are also:

• A technical & financial hybrid: Possess a business‑savvy mindset with the confidence to operate independently, while bringing strong technical capabilities to manipulate data directly from its source.
• Detail‑driven and hands‑on: Comfortable writing code to get the data you need, while still maintaining a broad, strategic, and global business perspective.
• Strong analytical connector: Able to trace how one business decision or operational metric influences financial results across different global functions.
• Proactive self‑starter: Takes initiative, identifies opportunities, and drives automation and efficiency forward.
• Collaborative communicator: Strong interpersonal skills to partner effectively with both non‑financial cross‑functional teams and core data/engineering teams.
• Able to simplify complexity: Highly capable of translating intricate business models and unstructured data pipelines into clear, actionable financial insights.

What you’ll bring:

• Experience: 7–10 years of relevant experience across FP&A, finance business partnering, advanced financial modeling, and data analytics, ideally within a global public company or high‑growth international environment. Experience in fintech, e‑commerce, payments, SaaS, marketplaces, or other high‑volume transaction businesses is a strong advantage.
• Education: Strong academic background in finance, economics, business, engineering, data analytics, computer science, or a related quantitative field, with demonstrated analytical rigor, structured problem‑solving, and intellectual curiosity.
• Data and analytics toolkit: Required proficiency in SQL, including extracting, transforming, and loading data from large‑scale data warehouses. Strong experience building, maintaining, and improving business intelligence dashboards in tools such as Looker, Power BI, or similar platforms is required. Experience with Power Pivot, Python, and modern financial planning platforms such as Pigment is highly advantageous.

What you’ll do:

• Extract, Transform & Load (ETL): Write and optimize SQL queries to extract data from data warehouses, transforming messy operational data into structured datasets optimized for financial analysis and reporting.
• Turn numbers into insights: Analyze revenue and OPEX trends to uncover what’s working, what’s changing, and where opportunities lie.
• Tell the story of the business: Design, build, and maintain automated management reports, executive summaries, and interactive BI dashboards (Looker/Power BI) that highlight insights for senior leadership.
• Build models that matter: Provide advanced financial modeling and decision support to help guide strategic choices.
• Drive global impact: Support key initiatives across the GTM organization and Global FP&A–GTM team, contributing to projects that reach markets around the world.
• Shape our long‑range plans: Partner with business teams and regional FP&A leads to refine internal and external long‑range forecasts, leveraging automated data pulls to shorten delivery cycles.
• Track what matters: Build and monitor automated data pipelines for KPIs used to drive the business to greater effectiveness and efficiency.
• Assess ROI with real business impact: Review GTM investments and marketing campaigns to ensure we’re investing wisely and driving returns.
• Be hands‑on with month‑end: Assist with OPEX accruals, journal entries, and PO approvals—keeping our financial engine running smoothly.
• Thrive in a fast‑paced environment: Support global teams with ad‑hoc financial and data requests—perfect for someone who enjoys variety, data‑exploration, and challenge.

Must have:

Advanced financial modeling; strong SQL skills; experience extracting, transforming, and loading data from large data warehouses (e.g. Big Query); ability to build dashboards or automated reports in a business intelligence tool; and the commercial judgment to translate complex data into practical financial recommendations.

Not a must but a great advantage

Power Pivot, Power BI, Looker, Pigment, Python, exposure to finance automation workflows, or experience using AI‑assisted productivity tools to accelerate analysis, reporting, and documentation.

The Payoneer Ways of Working

Act as our customer’s partner on the inside

Learning what they need and creating what will help them go further.

Do it. Own it.

Being fearlessly accountable in everything we do.

Continuously improve

Always striving for a higher standard than our last.

Build each other up

Helping each other grow, as professionals and people.

We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. Decisions about requests for reasonable accommodation are made on a case‑by‑case basis.