Strategic Overview
Strategy and Analytics Business Partner at Stripe is a data opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.
The published role emphasizes work such as 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,….
The role is listed for Bengaluru with the working arrangement published with the role, giving candidates the practical context needed to assess fit before applying.
Key information at a glance
About This Role
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…
Key Responsibilities & Objectives
- 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
Required Qualifications & Candidate Blueprint
- 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
Salary & Benefits
The available source data does not publish a numerical salary range for this opening. We do not estimate or substitute third-party figures.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
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, 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
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This data opening is a useful opportunity for candidates whose experience matches the role-specific capabilities named in the listing. Its strongest career signal is the scope of the work itself — particularly Perform data analysis, identify trends, conduct research, build visualizations, all to deliver objective, critical insights that fulfill team stakeholders’ business needs — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground the role-specific capabilities named in the listing, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
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