Data Analyst, Stripe

• 5+ years of experience in analytical roles
• Mastery of SQL and a strong understanding of data relationships / relational databases, experience working with large datasets
• Proficiency in Scala, Python, or another programming language
• Strong statistical knowledge
• Proven skills in A/B testing, experiment set-up, and analysis
• Experience with applied machine learning techniques
• Expertise using data insights to drive business and operational goals - outstanding analytical ability, communication, and presentation skills
• Proven ability to manage and deliver on multiple projects with great attention to detail
• Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights

Desirable

• Our team is a part of Strategy & Analytics (S&A), which maximizes and accelerates Operations' ability to make Stripe work for our users
• We work cross-functionally with global teams to help run the day-to-day business, taking a data-driven approach that combines strategy and analytics to help Ops leaders solve their most complex and most important issues while also driving the business planning and operational cadence end-to-end, from strategy to goal-setting to execution
• We are seeking a Data Analyst to drive and enable business performance in Ops’ Strategy & Analytics team
• In this role, you will be a critical partner in driving data-driven decision making across Stripe Operations. You'll work closely with cross-functional, technical stakeholders to identify and address their most impactful challenges using data and analyses
• You'll own the development and implementation of experiments, key metrics, ML models, and data pipelines, ensuring the foundational systems in Stripe Operations are robust, high-quality, and reliable
• You'll work hand-in-hand with partner teams in Data Science, Product, and Engineering to implement data-driven solutions that optimize our processes and tools
• Acting as a technical expert and bridge between the Strategy and Analytics team and our operational partners, you'll champion the use of data to inform high-impact projects and initiatives
• Work closely with cross-functional, technical stakeholders - helping them identify and address their most impactful challenges with data and analyses
• Own the development and implementation of Operations metrics, pipelines & data sources
• Incubate machine learning models, and partner with Data Science for their productionization
• Partner with Operations and Engineering teams on the implementation of high impact data projects, championing data driven decision making