Stripe10.04.2026
Staff Data Analyst
US
Обязанности
- 01Lead architecture reviews and set analytical standards
- 02Own the strategy, technical architecture, and governance model for platforms that make key business metrics consistent, trustworthy, and easy to query at scale
- 03Define and enforce how analytical data is modeled, stored, and served across the company
- 04Own the hardest cross-cutting analytical problems
- 05Tackle the most complex, multi-team data challenges — problems that require going arbitrarily deep into unfamiliar domains and coordinating solutions across organizational boundaries
- 06Drive org-wide data quality and consistency
- 07Lead critical data quality initiatives that support executive- and board-level decision-making
- 08Ensure that the metrics and data products used to run the business are reliable, well-defined, and widely adopted
- 09Shape long-term technical vision
- 10Define a multi-year roadmap for analytics infrastructure, including warehouse design, schema standards, metric integration, real-time analytics systems, and performance optimization
- 11Raise the technical bar across teams
- 12Uplevel the quality of analytical work through mentorship, architecture reviews, standards setting, and building shared tooling and frameworks that other analysts adopt and depend on
- 13Translate business needs into technical solutions
- 14Partner deeply with leaders across Stripe to identify the highest-priority data problems, then deliver scalable, well-governed solutions with clear adoption plans and measurable impact
Требования
- 0110+ years of experience in Data Analysis, Analytics Engineering, Business Intelligence Engineering, or Data Science roles — building data infrastructure, defining metrics, and solving complex analytical problems at scale
- 02Deep expertise in SQL, including demonstrated ability to optimize complex queries, debug data pipelines, and work across large, distributed datasets
- 03Familiarity with AI-assisted development tools (e.g., Claude Code or equivalent) to accelerate data work, automate repetitive tasks, and improve analytical productivity
- 04Proven track record of setting long-term technical vision for analytics platforms — not just executing within them, but shaping their architecture, governance, and adoption strategy
- 05Expertise in warehouse design and metrics infrastructure: schema design, metric layer integration, performance optimization, and building data products that are consistent and trustworthy at scale
- 06Experience leading cross-team or org-wide data initiatives that materially improved data quality, consistency, or accessibility for a broad set of stakeholders
- 07Demonstrated ability to raise the technical bar for teams around you — through mentorship, architecture reviews, standards setting, or building shared tooling that others adopt
- 08Strong communication and influence skills: ability to align senior leaders and cross-functional partners on technical direction, and to communicate complex data problems and recommendations clearly
- 09Comfortable operating across organizational boundaries: proven ability to identify data analytics problems that span multiple teams and drive solutions with technical rigor