Finance & Strategy Analyst

Stripe

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 Finance and Strategy team is an integral thought partner to Stripe's core functional leaders. We bring understanding and predictability to Stripe's bottom-line financials. We work cross-functionally across many surfaces at Stripe and help steward Stripe's resource investments to improve the durability of our long-term financial performance. What you'll do We're looking for a Finance and Strategy Analyst to join our growing team. You will support the forecasting, budgeting, and reporting for various departments — accurately and in a timely manner — and deliver improvements in our integrated financial systems, working alongside business partners, financial colleagues, and engineers. This role is based in Dublin or London. Responsibilities * Partner closely with business leaders to drive successful outcomes * Leverage your financial background to support and influence key strategic and business decisions * Serve as the financial partner for your business teams on analysis and evaluation of strategic projects and initiatives (e.g. foundational investments or business model shifts) * Design and provide analytical rigour to measure efficiency and ROI of investments in headcount and non-headcount expenses * Drive reporting, process, and discipline for finance routines to shape and influence decision-making (e.g. budget, forecast, monthly reviews, long-range plans) * Build and own models for in-depth analyses, ensuring quality, timeliness, and accuracy * Define metrics and leading indicators of business performance * Partner with cross-functional teams such as Data Science to develop reporting dashboards and forecasting models * Drive continuous process improvement, standardisation, simplification, and reporting enhancements   Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements * 5–7 years of relevant experience in strategic finance or FP&A * Strong analytical skills and experience building integrated financial models from scratch (in Excel or other planning tools) * Experience driving and executing finance processes (e.g. budget cycles, forecast reviews, negotiations) * Proven ability to build strong collaborative relationships with business partners and cross-functional stakeholders * Ability to bring structure to ambiguous areas of opportunity and thrive in a fast-moving environment * Ability to maintain high performance under tight timelines with a willingness to roll up your sleeves * Excellent written and verbal communication and organisational skills * Strong problem-solving skills with the ability to analyse complex data sets and make sound recommendations independently * Proficiency in SQL with the ability to independently extract, analyse, and evaluate data from multiple sources * Experience working with Google Workspace, Salesforce, and MS Office, and with large data sets Preferred qualifications * Experience working at a high-growth technology or financial services company * Experience managing headcount and operating expenses * Experience supporting Go-to-Market and/or Product functions * Experience with Oracle, Anaplan, Tableau, or equivalent planning tools * Experience with Python or a willingness to learn * Experience in data visualisation and dashboarding

Stripe

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 Our global Finance and Strategy team (F&S) is a strategic business partner to leaders at Stripe, providing clear insights which simplify the complexity of the business, and drive the key operating forums to enable effective decision-making. F&S is expanding to support the needs of our growing business, and this role is an exciting opportunity to join a new Finance and Strategy team in Bangalore. This team is chartered to deliver thoughtful analysis to inform key business decisions through simplification and automation of key financial planning processes. If you are an experienced Finance FP&A professional who wants to make an impact in a dynamic and growing organization, please read below. WHAT YOU'LL DO We're looking for an F&S Analyst to join our growing team. You'll help us with the forecasting, budgeting, and reporting for various departments accurately and in a timely manner and deliver improvements in our integrated financial systems with business partners, finance colleagues, and engineers. RESPONSIBILITIES * Leverage your financial background to support and influence key strategic and business decisions * Design and provide rigorous analysis to measure efficiency and ROI of investments in headcount and non-headcount expenses * Drive reporting, process, and discipline for finance routines to shape and influence decision-making (e.g., budget, forecast, monthly reviews, and long-range plans) • Build and own models for in-depth analyses, as well as ensure their quality, timeliness, and accuracy * Define metrics and leading indicators of business performance * Partner with Data Science teams to develop reporting dashboards * Drive continuous process improvement, standardization, simplification, and reporting enhancements WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * 5+ years of relevant experience in strategic finance or FP&A  * A keen eye for detail and experience building integrated models from scratch (in Excel or other planning applications) * Experience driving and executing on finance processes (e.g., budget, forecast reviews, negotiations, and investment analysis)  * A proven ability to build strong collaborative working relationships with business partners * A proven ability to be a self-starter capable of driving business results without significant supervision * The ability to maintain high performance under tight timelines and a hands-on mindset to get any job done * The ability to bring structure to ambiguous areas of opportunity and thrive in an unstructured, fast-moving environment * Excellent verbal and written communication skills * Excellent communication and organizational skills, both written and verbal * Excellent problem-solving skills and demonstrated ability to work independently, analyze problems and data sets to make complex investigation decisions * Strong knowledge of gSuite tools, Salesforce, and MS-Office products and experience working with and analyzing contracts and large data sets * Independently analyze and evaluate information from various data sources to determine a course of action for a matched case * Demonstrated experience partnering with cross-functional stakeholders * Demonstrated history of taking on various types of challenging projects and producing results * Solution-oriented mindset with enthusiasm for establishing best practices  * Self-disciplined, diligent, proactive, and detail-oriented PREFERRED QUALIFICATIONS * Experience working at a high-growth technology or financial services company * Oracle, Anaplan, Tableau, or other equivalent application experience * Experience with SQL or a willingness to learn * Experience in data visualization and dashboarding

Stripe

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 Finance and Strategy Data Science builds the forecasting models, data infrastructure, and analytics tools at the core of how Stripe measures and plans its business. The team owns everything from hierarchical time series and agentic forecasting tools that predict payment volumes and revenue margins, to the governed metrics platform that feeds company-wide dashboards and executive reporting. We partner closely with Finance and Strategy, GTM, and Product stakeholders to directly inform financial decisions across Stripe's entire business. The team combines technical depth, strategic thinking, and executive partnership that develops both technical and business expertise. WHAT YOU’LL DO Data Science Managers at Stripe are responsible for the success of their team. You'll be deeply involved in the modeling and design processes as well as coaching, mentoring, and leading the team. You'll have a deep understanding of how to drive efficient data science teams and you'll have a strong user-focus. You'll be working with data scientists, analysts, and engineers on creating technical solutions and communicating effectively across teams and senior leadership. RESPONSIBILITIES * Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data-driven. * Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing. * Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe. * Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers. * Recruit and onboard great data scientists, in collaboration with Stripe's recruiting team. * Contribute to broad data science initiatives as a member of Stripe's data science management team. WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * You have at least 3 years of direct management experience leading data science or ML teams, and 10 years of overall data science experience. * You've demonstrated expertise in designing metrics and guiding business decisions with data. * You have technical expertise to drive clarity with staff and senior scientists about architecture and strategic modeling decisions. * You've managed teams that have built and shipped machine learning systems and data products at scale, and have hands-on experience with challenging problems. * You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs. * You have clear and persuasive communication skills in writing and in speech. * You thrive on a high level of autonomy and responsibility. * You foster a healthy, inclusive, challenging, and supportive work environment. PREFERRED QUALIFICATIONS * A PhD or MS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering) * You're comfortable working with geographically distributed teams. * Expertise in time series forecasting, predictive modeling, or optimization * Expertise in data design and building scalable data architectures