Full-Time Data Analyst
Eight Sleep is hiring a remote Full-Time Data Analyst. The career level for this job opening is Experienced and is accepting USA, Canada based applicants remotely. Read complete job description before applying.
Eight Sleep
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About Eight SleepEight Sleep is the world’s first sleep fitness company. 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. We’re committed to developing more groundbreaking products to tackle additional sleep problems, changing the role sleep plays in our lives forever.
The RoleWe’re seeking a data-driven and detail-oriented Data Analytics Expert to join the Data & Analytics team within the Finance organization. The ideal candidate has a proven track record delivering insights that influence important strategic decisions. This role will leverage our sales and financial data to build reporting, dashboards and KPIs and extract findings from complex analyses.
How you’ll contribute
- Assist in managing our data warehouse.
- Building and maintaining data pipelines, data models and automating workflows.
- Analyze large datasets, build and develop dashboards, memos, and presentations to provide actionable insights.
- Drive automation and lead implementation of AI tools.
- Convey complex analytical findings to non-technical audiences, including executives.
- Ensure data accuracy, integrity, and security.
- Ad hoc support for cross-functional initiatives.
- Be an Independent self-starter.
What you need to succeed
- Minimum 2+ years experience as a Data Analyst, Data Scientist, Analytics Engineer or similar technical role.
- Expert-level knowledge of SQL. Experience using Python or R is a plus.
- B.S. degree in a quantitative field.
- Advanced knowledge of end-to-end data infrastructure, including data pipeline tools, data transformation tools, data warehousing best practices.
- Expert knowledge of business intelligence tools.
- Familiarity with SQL and data visualization tools to synthesize complex information.
- Highly effective written and verbal communication skills.
- Translate complex findings into actionable insights.
- Be an Independent self-starter.