Data Scientist, Growth

Eight Sleep; San Francisco (CA); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Health, vision, and dental insurance

Flexible PTO

Commuter benefits

Paid parental leave

Job summary

Eight Sleep is looking for a Data Analyst in San Francisco to join our Data & Analytics team. You will analyze marketing and ecommerce data to optimize performance and create dashboards to provide insights for decision-making.

The ideal candidate has 3+ years of experience, strong SQL knowledge, and expertise with business intelligence tools like Looker. We offer full health, vision, and dental insurance, flexible PTO, and a commitment to diversity and equality.

Qualifications

• Minimum 3+ years experience in a Data Analyst or similar technical role.
• Expert-level knowledge of SQL.
• Strong experience with data visualization tools.

Responsibilities

• Analyze marketing and ecommerce data to identify trends.
• Design and analyze lift-based experiments across channels.
• Create dashboards to provide insights to the Growth team.

Skills

SQL

Data analysis

Business intelligence tools (Looker, Tableau)

Python or R

Communication skills

Education

B.S. degree in Business, Finance, Mathematics, Statistics, or Economics

Tools

Looker

DBT

Google Sheets/Excel

Job description

The role

We’re seeking a data‑driven and detail‑oriented Data Analyst to join our Data & Analytics team within the Growth organization. The ideal candidate has a proven track record delivering insights that influence the product and marketing roadmaps. This role will use sales, marketing and ecommerce data to build reporting, dashboards and KPIs while extracting findings from complex analyses.

How you’ll contribute

• 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

What you need to succeed

• Minimum 3+ years 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

Benefits

• Full access to health, vision, and dental insurance for you and your dependents
• Supplemental life insurance
• Flexible PTO
• Commuter benefits to ease your daily commute
• Paid parental leave

At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.