- Location
- Dublin, Ireland · Ireland Locations
- Department
- Management
- Education
- Bachelor
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 Strategy & Analytics team in Internal Systems aspires to supercharge the wider Internal Systems and SDC organizations with analytics and insights. The Internal Systems and SDC org creates the engineering infrastructure and runs the internal operations that enables Stripe to succeed. Seller Systems, within this organization, builds the tools that help our sellers scale and sell our products. We deliver data-driven insights that inform business decisions, drive measurable operational improvements, and guide strategy. We are not just data analysts, we are a mix of strategic business partners, deeply strategic and/or technical operational executors. We ensure timely, reliable, high-quality data for not just Internal Systems and SDC, but for stakeholders across Stripe.
What you’ll do
In this role, you’ll be the go-to expert for your business area. You’ll partner directly with product and engineering leaders within Seller Systems and be their go-to for all things data, insights, and strategy. You’ll be hands-on and responsible for delivering critical insights, ensuring data driven decision making is at the core of what we do. You’ll partner with leadership to drive product strategy, planning, goal-setting and performance tracking. You may also scope and lead mission critical projects and execute on strategic initiatives.
Responsibilities
- Metrics & Insights: Wrangle large, highly complex datasets using SQL into actionable insights and become the data expert for your business area. Develop metrics and large-scale dashboards to track the health of our user-facing and internal teams. Perform analyses (using SQL & other analytical tools/languages), identify trends, conduct research, build models, all to deliver objective, critical insights that can inform leadership of opportunities, risks, and strategic priorities.
- Communicate with executives: Create narratives and documents that tell the story of your business area to influence senior Product, Engineering and Sales leadership and Stripe executive team decision making. Own executive-facing weekly, monthly or quarterly reporting.
- Stakeholder management: Influence and drive cross-functional change by partnering with stakeholders across a wide internal network of globally distributed teams, including Ops, Finance, Data Science, Product/Engineering, and more
- Drive operational excellence: Design, optimize and drive operational reviews and rhythm of the business. Guide the planning and goal-setting process for your business area, as well as progress checks throughout the year. Bring and consistently apply a ROI lens to all operational decisions, so we can make better-informed trade-offs
- Conduct internal knowledge sharing sessions to strengthen the 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 Sales Analytics 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
- Experience with AI tools (Claude Code, etc.) and have demonstrated measurable impact from AI in your role or in others’ around you.
- Outstanding communication, presentation skills & stakeholder management skills
- Experience working in or with Sales and/or Operations organizations
- Expertise working cross-functionally and with globally distributed teams to drive business and operational goals using data
- Ability to connect the big picture to minute details, toggling between them to set and operationalize strategy
Preferred qualifications
- Experience working in fast-paced environments (e.g. high-growth fintech/tech company, management consulting)
- Experience working with Product Manager and Engineering teams
- Experience with visualization tools