Own the data model architecture, ensuring core data entities are structured for high-quality context
Drive speed-to-insights by modeling data into usable, scalable formats
Build and maintain systems, ensuring high standards for style and maintainability
Enable self-service analytics across the company with a well-maintained data catalog
Partner with the business to drive outcomes and translate business requirements into technical solutions
Lead the evolution of descriptive to predictive analytics, working with AI tools

Requirements

3-5 years in data analytics, analytics engineering, or BI roles
Strong SQL skills, preferably in BigQuery, Redshift, or Snowflake
Experience designing, implementing, operating, and extending Kimball dimensional models
Familiar with BI tools, preferably Looker
Fluent with AI tools
Strong opinions about infrastructure building
Experience supporting business subject areas such as marketing, finance, sales, product, or customer success (nice to have)

Benefits

Competitive stock option package, depending on experience
401(k) plan with matching
Benefits package including medical, dental, vision, short-term/long-term disability, and life insurance
Unlimited PTO
Hybrid work environment

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLBigQueryRedshiftSnowflakeKimball dimensional modelsdata modelingpredictive analyticsdescriptive analyticsdata architectureself-service analytics

Soft Skills

collaborationcommunicationleadershipproblem-solvinganalytical thinkingbusiness acumenadaptabilitycritical thinkingopinion leadershipstakeholder engagement