Strategy and Analytics Business Partner

at Stripe

📍 Dublin, Ireland

EUR 72,000-108,000 per year

MIDDLE

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 3 Claude Code @ 3 Communication @ 3 Data Analysis @ 5 Data Science FinTech @ 3 Mathematics @ 3 SQL @ 6 Statistics @ 3

Details

Stripe is a financial infrastructure platform for businesses. The Strategy & Analytics team in Internal Systems provides analytics and insights to Internal Systems and SDC organizations. The team delivers data-driven insights, operational improvements, and strategic guidance, while ensuring timely, reliable, and high-quality data for stakeholders across Stripe.

Responsibilities

Partner with product and engineering leaders within Seller Systems on data, insights, and strategy.
Wrangle large and highly complex datasets using SQL to produce actionable insights.
Develop metrics and large-scale dashboards to track the health of user-facing and internal teams.
Perform analyses using SQL and other analytical tools or languages; identify trends, conduct research, and build models to inform leadership about opportunities, risks, and strategic priorities.
Create executive-facing narratives and documents to influence Product, Engineering, Sales, and Stripe executive decision-making.
Own weekly, monthly, and quarterly reporting.
Partner with globally distributed teams across Operations, Finance, Data Science, Product, and Engineering to drive cross-functional change.
Design, optimize, and lead operational reviews and business rhythms.
Guide planning, goal-setting, and progress checks throughout the year.
Apply a return-on-investment perspective to operational decisions and trade-offs.
Lead internal knowledge-sharing sessions.
Scope and lead critical projects and execute strategic initiatives as needed.

Requirements

Bachelor's degree in a STEM field such as Computer Science, Mathematics, Statistics, or Engineering.
At least 4 years of experience in data analysis fields.
Strong analytical ability and proficiency with SQL, including a minimum of 3 years of advanced SQL experience.
Strong understanding of data relationships.
Experience working with extremely large datasets.
Experience with AI tools such as Claude Code, with demonstrated measurable impact from AI.
Outstanding communication, presentation, and stakeholder-management skills.
Experience working in or with Sales and/or Operations organizations.
Experience working cross-functionally with globally distributed teams to drive business and operational goals using data.
Ability to connect the big picture with minute details and operationalize strategy.

Preferred Qualifications

Experience in fast-paced environments, such as high-growth fintech or technology companies, or management consulting.
Experience working with Product Manager and Engineering teams.
Experience with visualization tools.
Strong background in Sales Analytics or prior AI experience is highly preferred, although these skills may be developed on the job.