Data Analyst, Eight Sleep
Growth
+ Equity
More information about location
Smart mattress for sleep fitness
Open for applications
Smart mattress for sleep fitness
101-200 employees
Open for applications
+ Equity
More information about location
101-200 employees
Company mission
To fuel human potential through optimal sleep.
Role
Who you are
- 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
- 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
What the job involves
- This role will use sales, marketing and ecommerce data to build reporting, dashboards and KPIs while extracting findings from complex analyses
- 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
Our take
The last decade has seen a major uptick in the number of startups and companies dedicated to supporting consumers to build good health habits, typically around food and fitness. That enthusiasm is now quite rightly being extended to how we sleep.
Eight Sleep makes “smart” mattresses and mattress covers (for regular mattresses) that use machine learning and other artificial intelligence-based algorithms to improve your sleep both by changing temperature and monitoring other physical parameters to provide an overall picture of your health.
The company is focused on two levers for growth. First, building out more technology through additional products and acquisitions, exemplified by the introduction of Span Health’s fitness-tracking app. Secondly, international expansion in Europe, where it has got off to an impressive start in the UK.
Steph
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
4% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Aug 2021
$86m
SERIES C
Nov 2019
$40m
SERIES C
Total funding: $162.1m
Company HQ
Chelsea, New York, NY
Articles
Leadership
Matteo Franceschetti
(Co-Founder & CEO)Co-founded and led GIR (acquired in 2014) and Global Investment (acquired 2011).
Massimo Andreasi Bassi
(Co-Founder & CTO)Previously a Senior Software Engineer at Upsight. Also founded Staq in 2012. Before that, worked as VP of R&D for DomainsBot.
Alexandra Zatarain
(Co-Founder & VP of Brand & Marketing)Prior to Eight Sleep, served as a Mentor, offering marketing experience, for various startups, academic institutions, and Wall Street organizations.
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