Data Analyst
Role Overview
As a Data Analyst at Stripe's Financial Enablement team in Bengaluru, you will perform data analysis, build visualizations, and deliver insights to support Finance, Accounting, GTM, and Product teams. You'll work cross-functionally, reconcile complex datasets, and leverage AI tools to improve efficiency, acting as a data strategy partner for business stakeholders.
Perks & Benefits
Stripe offers a dynamic, fast-paced environment with opportunities to work on mission-critical financial infrastructure. While remote work details are not specified, the role is based in Bengaluru and likely includes competitive compensation, equity, and benefits typical of top tech companies. Career growth is supported through cross-functional projects and knowledge sharing.
Full Job Description
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
The Internal System Org is at the core of Stripe to empower mission-critical financial domains including Finance & Strategy (F&S), Accounting, Tax, Treasury, Product Experience, GTM. We are the Financial Enablement team under FinEng, acting as the centralized data analytics team for Internal System Org. Enable and empower F&S, GTM, Accounting, Product teams to achieve business goals, through dataset development, data analytics support, dashboards, AI, and operation efficiency enhancements.
What you’ll do
Responsibilities
- Perform data analysis, identify trends, conduct research, build visualizations, all to deliver objective, critical insights that fulfill team stakeholders’ business needs
- Work closely with cross-functional teams, including Finance & Strategy, Accounting, Product, Tax, User billing, Seller System, and Sales Ops teams, to align on financial goals and drive revenue growth
- Be the data strategy partner for our business stakeholders
- Reconcile complex dataset across complex finance systems
- Coordinate cross-functional projects to identify and drive operational efficiencies that support our stakeholders ability to run more efficiently and effectively
- Work closely with Engineering and Product teams to help define product solutions
- Leverage AI tools to improve team work efficiency
- Conduct internal knowledge sharing sessions to strengthen team
Who you are
You’re passionate about solving business problems and making a direct impact on business. You thrive in environments with many moving parts and quickly pick up new domain knowledge and technologies (e.g. AI). We’re seeking someone with excellent communication and advanced SQL/analytics abilities. Strong background in Accounting/Finance or prior AI experience is highly preferred, though these can also be developed on the job.
Minimum requirements
- Bachelor's degree in STEM major (i.e. Computer Science, Math, Stat, Engineering, etc.) and 4+ years of prior working experience in data analysis fields
- Strong analytical ability, proficiency with SQL (minimum of 3 years advanced SQL) and strong understanding of data relationships
- Experience working with extremely large datasets
- Outstanding communication skills
- Expertise working cross-functionally to drive business and operational goals
- Excellent project management skills and ability to hold others accountable for results
- Ability to connect the big picture to minute details
- Operating as part of a team adhering to established norms and values
- Ability to identify opportunities to improve the data management processes
- Domain knowledge in Finance/Accounting/GTM
Preferred qualifications
- Experience working in fast-paced environments (e.g. high-growth fintech/tech company, management consulting)
- Experience working with PM, Engineers, GTM, Accounting Team or Finance Team
- Experience working with financial datasets
- Experience working in fast-paced environments (e.g. high-growth fintech/tech company, management consulting)
- Experience with visualization tools
- Experience with AI tools (Claude Code, Kai, etc.)
- Domain knowledge in FinTech Products
- Bachelor's or Master degree in Accounting/Finance major
- CPA/CFA certification
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