Analytics Engineer

About the position

Eight Sleep is the world's first sleep fitness company. Our mission is to fuel human potential through optimal sleep. We use innovative technology, detailed design, and proven science and data to personalize and improve each night for everybody-changing the way people sleep forever and for the better. With our flagship product, the Pod, we are addressing critical sleep issues such as temperature regulation, bed elevation, snoring reduction, and the wake-up experience. Hundreds of thousands of customers around the world sleep better every night thanks to the Pod. But we're just getting started. We're committed to developing more groundbreaking products to tackle additional sleep problems, changing the role sleep plays in our lives forever. We're excited about the journey ahead and the impact we can make as we continue to innovate and expand our offerings to fulfill our mission.

Responsibilities

• Analyze marketing and ecommerce data sets to identify trends and unique insights that optimize the Performance Marketing and Web programs
• Design and analyze lift-based/incrementality experiments across Performance Marketing channels (Facebook, Search, YouTube, OTT, etc.)
• Create and maintain dashboards and visualizations using Looker and other tools to provide key insights to the Growth team
• Build statistical models that produce revenue projections and ad spend allocation
• Assist in managing our data warehouse; building and maintaining data pipelines, data models and automating workflows
• Utilize data to deepen Eight Sleep's understanding of user acquisition and improve performance at the portfolio and channel level
• Act as a key driver in building and improving Eight Sleep's marketing attribution modeling

Requirements

• Experience as a Data Analyst, Data Scientist, Analytics Engineer or similar technical role
• B.S. degree in Business, Finance, Mathematics, Statistics, Economics, or other quantitative field preferred
• Expert-level knowledge of SQL, experience using Python or R is a plus
• Advanced knowledge of end-to-end data infrastructure, including using data pipeline tools, data transformation tools such as DBT and data warehousing best practices
• Expert knowledge of business intelligence tools such as Looker, Tableau, and Google Sheets/Excel
• A data-driven approach to performance marketing and experience utilizing large data sets to inform strategic decision making
• Highly effective written and verbal communication skills
• Ability to translate complex findings into actionable insights
• Be an Independent self-starter who thrives in a fast-paced environment and is comfortable owning a high level of responsibility
• English proficiency is a must

Benefits

• Equity participation for every full-time team member
• Periodic equity refreshments based on performance
• Flexible PTO
• Paid parental leave
• Every employee receives a Pod