Strategy and Analytics Business Partner

Role overview

Strategy and Analytics Business Partner at Stripe

Preferred qualifications and skills

• Strong background in Accounting/Finance or prior AI experience is highly preferred, though these can also be developed on the job.</p>

Employment details

• Location: Bengaluru

About the employer

• <h3><strong>About Stripe</strong></h3>
• 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.

Additional role details

• <h2><strong>Who we are</strong></h2>
• <p>Stripe is a financial infrastructure platform for businesses.
• 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.</p>
• <h3><strong>About the team</strong></h3>
• <p>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, 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.</p>
• <h2><strong>What you’ll do</strong></h2>
• <h3><strong>Responsibilities </strong></h3>
• <ul>
• <li>Perform data analysis, identify trends, conduct research, build visualizations, all to deliver objective, critical insights that fulfill team stakeholders’ business needs </li>
• <li>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</li>
• <li>Be the data strategy partner for our business stakeholders</li>
• <li>Reconcile complex dataset across complex finance systems</li>
• <li>Coordinate cross-functional projects to identify and drive operational efficiencies that support our stakeholders ability to run more efficiently and effectively</li>
• <li>Work closely with Engineering and Product teams to help define product solutions </li>
• <li>Leverage AI tools to improve team work efficiency</li>
• <li>Conduct internal knowledge sharing sessions to strengthen team </li>
• </ul>
• <h2><strong>Who you are</strong></h2>
• <p>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.
• <h3><strong>Minimum requirements</strong></h3>
• <li>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</li>
• <li>Strong analytical ability, proficiency with SQL (minimum of 3 years advanced SQL) and strong understanding of data relationships</li>
• <li>Experience working with extremely large datasets</li>
• <li>Outstanding communication skills</li>
• <li>Expertise working cross-functionally to drive business and operational goals </li>
• <li>Excellent project management skills and ability to hold others accountable for results</li>
• <li>Ability to connect the big picture to minute details</li>
• <li>Operating as part of a team adhering to established norms and values</li>
• <li>Ability to identify opportunities to improve the data management processes</li>
• <li>Domain knowledge in Finance/Accounting/GTM</li>
• <h3><strong>Preferred qualifications</strong> </h3>
• <li>Experience working in fast-paced environments (e.g. high-growth fintech/tech company, management consulting)</li>
• <li>Experience working with PM, Engineers, GTM, Accounting Team or Finance Team</li>
• <li>Experience working with financial datasets</li>
• <li>Experience with visualization tools</li>
• <li>Experience with AI tools (Claude Code, Kai, etc.)</li>
• <li>Domain knowledge in FinTech Products</li>
• <li>Bachelor's or Master degree in Accounting/Finance major</li>
• <li>CPA/CFA certification</li>