Your primary responsibility will be to lead architecture reviews and set analytical standards. You will own the strategy, technical architecture, and governance model for platforms that make key business metrics consistent, trustworthy, and easy to query at scale. You will also be responsible for owning the hardest cross-cutting analytical problems, driving org-wide data quality and consistency, and shaping long-term technical vision.

To succeed in this role, you will need to have 10+ years of experience in Data Analysis, Analytics Engineering, Business Intelligence Engineering, or Data Science roles, with deep expertise in SQL and familiarity with AI-assisted development tools. You will also need to have a proven track record of setting long-term technical vision for analytics platforms and experience leading cross-team or org-wide data initiatives.

As a Staff Data Analyst at Stripe, you will have the opportunity to work with a talented team of data analysts, data scientists, and engineers to build and maintain a robust analytics infrastructure that supports business growth and decision-making.

If you are a motivated and experienced data professional looking for a challenging role with a high-growth company, we encourage you to apply.

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Your responsibilities will include serving as the definitive SME for Customer First analytics, defining the data models, metrics, and value drivers that steer company strategy. You will also lead the exploration and integration of AI-driven tools to automate workflows and pioneer new methodologies for data discovery.

Additionally, you will architect the analytics strategy for customer insights, leveraging product telemetry and public data to identify and predict risk and growth signals. You will own the vision for our semantic layer, ensuring it supports advanced modeling, self-service, and high-integrity dashboarding.

You will participate in high-impact initiatives in predictive modeling (cross-sell, churn, LTV) that directly influence GTM execution. You will partner with leadership and account teams to translate raw insights into a high-impact, action-oriented Command Center, empowering account teams to instantly prioritize and execute on the most urgent opportunities and risks.

You will also partner with Engineering to co-design data pipelines and transformations that ensure long-term scalability and data quality. You will set the bar for excellence in data storytelling and modeling, mentoring the broader team on best practices and process improvement.

To succeed in this role, you will need to have a passion for driving decisions and insights through data. You will be detail-oriented, analytical, and able to solve big problems. You will also need to be able to effectively communicate with team members and business partners.

In terms of qualifications, you will need to have a BS in CS, MIS, or a related technical degree. You will also need to have 7+ years of experience as a Data Analyst/Data Engineer/BI Developer. Advanced SQL experience is also required.

Preferred qualifications include experience with building reports and visualizations to represent data intuitively in Tableau or similar data visualization tools. Advanced analytics, data science, AI/ML experience and techniques are also a plus.

Finally, you will need to be able to work cross-functionally and communicate with technical and non-technical teams. Experience with ETL processes, software development, and lifecycle awareness, using Python, Java, Databricks, and Snowflake is also a plus.

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