Data Analyst, Financial Enablement

About the role

Chat with Stripe sales Data Analyst, Financial Enablement Stripe logo Jobs Our opportunity Life at Stripe Benefits University See open roles Open mobile navigation Jobs Our opportunity Life at Stripe Benefits University See open roles Close mobile navigation Roles at Stripe Role details Data Analyst, Financial Enablement 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 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 with visualization tools Experience with AI tools (Claude Code, Kai, etc.) Domain knowledge in FinTech Products Qualification in Accounting/Finance or CPA/CFA certification In-office expectations Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico, Bengaluru, India, and Dublin, Ireland work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible. Pay and benefits The annual salary range for this role in the primary location is €69,600 - €104,400. This range may change if you are hired in another location. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process. Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends. Office locations Dublin HQ Team Infrastructure & Corporate Tech Job type Full time Apply for this role Please find our EU applicant personal information notice here . We look forward to hearing from you At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us. 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