Data Analyst, Finance Business Intelligence at Stripe in Seattle, WA

We’re looking for data analysts who are passionate about applying their analytical and engineering skills to democratize data, metrics and insights driven decision making for all Stripes. If you are naturally data curious, excited about deriving insights from data, experienced in improving availability and usability of those insights, and motivated by having impact on the business, we want to hear from you.

You will:

• Work closely with the Finance and Engineering teams to identify important questions and answer them with data
• Be the subject matter expert for data management including data integrity, acquisition, mining, analysis, metrics and reporting
• Design, build and maintain business intelligence infrastructure to improve availability and usability of data and insights
• Drive strategic initiatives to improve the quality and timeliness of insights
• Build scalable automation solutions utilizing SQL, Tableau, Anaplan and other tools
• Scope and analyze requirements and user stories
• Develop test plans and lead user acceptance testing (UAT)
• Provide product management and operational support

We’re looking for someone with:

• 6+ years of experience in a Business Intelligence Engineering, Data Engineering, Data Analyst and/or Data Science role, with a focus on building data pipelines and/or analyzing large data sets to solve problems
• Bachelor’s degree in Mathematics, Statistics, Engineering, or a related technical field
• Expert knowledge of SQL
• Prior experience with writing and debugging data pipelines using a distributed data framework (Hadoop/Spark/Pig/etc.)
• Prior experience with visualization using Tableau
• Strong knowledge of statistics and experimental design
• Entrepreneurial spirit that thrives in a fast paced environment, deals well with ambiguity and focuses on driving impact
• Proven ability to work cross-functionally, building and maintaining trust with internal stakeholders
• High attention to detail including precise and effective communications
• Hyper focus on and intuition for understanding the underlying needs of the business
• Impeccable product taste and demonstrated success shipping products with great user experiences at scale

Nice to haves:

• Master’s degree in Mathematics, Statistics, Engineering, or a related technical field
• Knowledge of a scientific computing language (such as R or Python)
• Prior experience at a growth stage Internet or software company
• Good understanding of the development process and best practices (e.g. sprint planning, coding standards, code reviews, testing and validation) with an appreciation for maintaining a high quality bar with low operational overhead