Analytics Engineer

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.

Backed by leading Silicon Valley investors, we have been recognized as one of Fast Company’s Most Innovative Companies in 2018, 2022 and 2023.

Our temperature-regulated technology, the Pod, is an absolute game changer, improving people's health and happiness by changing the way they sleep. The Pod was also recognized two years in a row by TIME's “Best Inventions of the Year.” It is available for purchase in North America (the United States and Canada) and throughout the United Kingdom, Europe (Belgium, France, Germany, Italy, Netherlands, Spain, Sweden, Denmark) and Australia via eightsleep.com. We’re excited by the success of the Pod to date and still have a long way to go toward achieving our mission.

That is why we are hiring an Analytics Engineer to join our expanding Data team and take on responsibilities building and maintaining our foundational data infrastructure as well as driving a data-driven culture.

This is a high-impact role within the organization, with the opportunity to operationalize the most important business analytics and create best processes surrounding analyses.

This role is eligible for hybrid reporting (3-4 days a week) in our New York office.

How you’ll contribute

First and foremost, we are a mission-driven company, so a passion for what we do and our mission is key. At a high level, the role encompasses these areas:

Build and maintain ETL pipelines from various sources
Create accurate and robust data models using DBT and LookML
Partner with cross-functional stakeholders to define & measure key business metrics; help build standardized reporting & dashboards
Develop robust QA processes to ensure data accuracy and integrity

What you'll need to succeed

You are interested in the health and wellness space, particularly sleep.
3+ years of experience in analytics engineering or a similar role
Expert in SQL and database table design on cloud-based data warehouses (Snowflake preferred)
Experience using Data Build Tool (dbt)
Strong experience building and maintaining robust data models & warehouses
Experience using business intelligence tools such as Looker or Tableau to communicate business insights (Looker preferred)
Excellent communication skills and ability to work closely with cross-functional partners to translate business needs into data-driven solutions
Experience leading enterprise wide data projects, structured and unstructured, joining large and complex data sets

Bonus points for

Proficiency in Python
Experience working at a consumer products company focusing on health and wellness

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