Senior Data Analyst, Fastly

• We are looking for a Senior Data Analyst to join our team who is curious, proactive, and passionate about solving complex business problems with data
• 6+ years professional experience in Data Analytics
• Experience with data visualization tools (ie. Looker, Tableau, Mode)
• Experience with any cloud data warehouse technologies and other cloud technologies like Google Cloud, AWS or Azure
• Proficient SQL user, and comfortable using Python
• Hands-on experience building functional and user-friendly data products (data models, dashboards, etc..) for both technical and non-technical stakeholders
• Ability to collaborate with and manage a variety of stakeholders
• A history of putting structure around ambiguity
• Experience working in a Tech Product organization
• This position will require you to be available during core business hours
• This position may require travel as required by your role or requested by your manager

Desirable

• The Product Analytics team is at the forefront of enabling a data driven culture across Fastly’s business
• This role will partner with leadership in Product Operations, Product Management, Engineering, Product Growth, Business Intelligence, Finance, Program Management, Sales Operations, and others to build the tools and exploratory analyses that empower data driven decisions for the execution of critical product and engineering efforts
• You’ll collaborate and partner with executives, stakeholders, and decision-makers to prioritize, design, and fulfill their data analytics needs for both technical and non-technical audiences
• You’ll transform concepts and shape data into a compelling story mapped to business goals and outcomes
• You’ll drive exploratory analysis to test theories, define future projects, and build roadmaps for product analytics
• You’ll promote and drive a self-service data culture by building self-service dashboards and other tools that will enable stakeholders to understand and delve into data for trends and actionable insights
• You’ll manage the lifecycle of your data projects, from planning through execution and delivery, communicating progress and risks along the way

• Anticipated Posting Close Date: 10/27/25
• Job posting may close early due to the volume of applicants
• A fully completed application and resume or CV are required when applying