Stripe: Financial Data Analyst

Job Description

As a Financial Data Analyst at Stripe, you will contribute to one of the world’s leading financial technology platforms by ensuring regulatory accuracy, financial data integrity, and consistent analytical rigor. This role plays a pivotal part in supporting Stripe’s mission to build economic infrastructure for the internet by transforming complex financial datasets into reliable insights. You will work closely with engineering, accounting, product, and financial operations teams to streamline regulatory reporting and enhance data pipelines that power Stripe’s mission-critical systems. Your work influences decision-making across global markets and safeguards Stripe’s compliance posture through exceptional data quality and transparency.

This role provides a unique opportunity to operate at the intersection of technology, finance, and regulatory compliance. You will help build scalable ETL workflows, resolve operational data issues, and design dashboards that deliver crystal-clear insights for internal and external reporting. The position requires a strong blend of analytical expertise, communication skills, and technical problem-solving abilities. As part of the Regulatory & Compliance Engineering organization, your contributions ensure that Stripe maintains trust with regulators while supporting the seamless movement of money across international markets.

Roles & Responsibilities

1. Partner with engineering, accounting, tax, and financial operations teams to interpret and respond to regulatory, tax, and compliance reporting requirements.

2. Blend and analyze data from multiple upstream systems to create structured outputs that support reconciliations, audits, and operational workflows.

3. Build intuitive dashboards that help internal teams and regulatory partners easily access and understand key financial and operational metrics.

4. Interface with global partners, vendors, and external financial entities to resolve data discrepancies, operational failures, and reporting mismatches.

5. Identify manual, repetitive, or error-prone processes and design scalable automation solutions to streamline reporting pipelines.

6. Drive cross-functional initiatives that improve data quality, reporting reliability, and operational transparency.

7. Troubleshoot production issues, perform root-cause analysis, and provide clear documentation and communication of problems and resolutions.

8. Maintain high data governance standards through robust checks, validation rules, and audit-ready reporting practices.

9. Work closely with engineering teams to ensure data models, pipelines, and ETL processes remain accurate, traceable, and resilient.

10. Advocate for continuous improvements in tooling, analytical processes, and reporting frameworks within a highly regulated environment.

Requirements & Eligibility

1. Minimum 3 years of experience in Data Analytics, Business Intelligence, Technical Operations, or similar analytical functions.

2. Advanced SQL skills with the ability to write, debug, and optimize complex queries for large-scale datasets.

3. Experience building ETL pipelines, automation processes, and data workflows supporting financial or operational systems.

4. Strong analytical skills, with the ability to prioritize issues, uncover trends, and identify root causes effectively.

5. Experience working across multiple teams, aligning stakeholders, and influencing decisions through data storytelling.

6. Understanding of financial systems, money movement workflows, and the nuances of regulatory or compliance-driven reporting.

7. Excellent communication skills to coordinate with technical teams, financial partners, and external vendors.

8. Ability to work in a fast-moving environment, drive process changes, and maintain stringent data quality standards.

9. Preferred: experience with regulatory reporting, accounting principles, or double-entry bookkeeping.

10. Preferred: familiarity with distributed data frameworks like Hadoop or Spark and experience participating in code reviews or engineering best practices.

Expected Salary

Financial Data Analyst roles at global fintech companies like Stripe generally range between ₹15 lakhs to ₹30 lakhs per annum in Bengaluru. Compensation varies based on expertise in analytics, experience with financial systems, ETL proficiency, and cross-functional impact. Stripe is known for premium compensation structures, performance bonuses, and equity opportunities, often placing total rewards above market averages for similar roles.

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