Data Analyst, Workplace

Stripe’s Workplace team plays a crucial role in crafting the Future of Work for our 7,000+ employees. As we experiment and learn from our users about what they need to be successful, data and measurement of our physical spaces is more important than ever. Workplace Systems works closely with the entire workplace team (Strategy & Transformation, Global Real Estate, and Global Workplace Operations) to collect meaningful data, deliver timely and actionable insights to leadership, and implement technology solutions that empower our teams to work more effectively. 

The Data Analyst role will help accelerate this work by incorporating more data sources, conducting analysis, producing dashboards and reports.

You will:

• Help improve the quality and completeness of our core datasets, and define metrics that illuminate the nuances of complex work patterns and behavior
• Conduct ongoing analysis of office utilization, and other datasets, to deliver insights to workplace colleagues, leadership, and cross-functional partners across Stripe
• Facilitate data integration and transformation requirements for moving data between various systems, including incorporation into the People & Places data infrastructure
• Design, build, and optimize Tableau dashboards, SQL queries and interfaces to provide internal  customers with usable, reliable, and accessible data
• Maintain high standards of data security, privacy, and confidentiality, and use techniques such as aggregation, deidentification, or pseudonymization to protect privacy.
• Provide analytics support for regular leadership reporting activities and quarterly Future of Work research reporting
• Support and resolve system incidents or urgent requests when they occur

We’re looking for someone who has:

• 3+ years of experience in a data analyst, a business intelligence engineer, data science, or similar role(s)
• Proficiency conducting advanced analyses and building user-friendly dashboards in Tableau
• Mastery of SQL and a strong understanding of data relationships and relational databases with large datasets
• Proven ability to work cross-functionally, building and maintaining trust with internal stakeholders
• High attention to detail including precise and effective communications
• Ability to work independently in a fast-paced and frequently changing environment

Nice to haves:

• Bachelor’s degree in mathematics, statistics, engineering, or a related technical field
• Prior experience working with workplace or real-estate datasets, such as utilization data, occupancy sensor platforms, and commute analysis
• Proficiency in R, Python, or another statistical programming language
• Proficiency with Informatica, Airflow, and other data pipeline tools
• 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
• Prior experience at a growth stage internet or software company

You should include these in your application: 

• Your resume and/or LinkedIn profile