Design and own **business-critical metrics** (definitions, edge cases, documentation)
Build **clean, reusable SQL models** (transformation layer) that become source-of-truth datasets
Partner with stakeholders to turn ambiguous questions into clear analytical deliverables
Create self-serve datasets and lightweight reporting so teams can answer questions without bottlenecks
Improve data reliability: sanity checks, reconciliations, and data quality monitoring (as available)
Contribute to analytics best practices (naming, documentation, metric governance)

Requirements

5–6 years experience in analytics / data analysis / analytics engineering
Strong SQL: can model data cleanly, handle edge cases, optimize queries, and explain logic
Comfortable defining metrics and pushing for clarity (“what decision are we making?”)
Strong communication: can work with non-technical stakeholders and document clearly
Experience with a cloud data warehouse (e.g. Snowflake, BigQuery, Redshift) and BI tools (eg. Tableau, Looker)
Nice-to-haves
DBT (or similar transformation tooling) experience
Familiarity with experimentation, funnels, retention, attribution (helpful for Growth)
Basic Python for analysis (not required)
Experience with data quality tooling / monitoring

Benefits

100% remote work
Group medical, dental, and vision coverage insurance (with opt-out benefits)
401k
Stock options
Open PTO, with a company-wide summer break designed to counterbalance the demands of the year-end holiday season.
Paid parental leave benefits
Annual company offsite – past locations include Cabo, San Diego, and Banff
$100/month reimbursement for wellness
$500 annual education stipend
Lots of Goodys!

Applicant Tracking System Keywords

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

Hard Skills & Tools

SQLdata analysisanalytics engineeringdata modelingdata transformationdata quality monitoringDBTPython

Soft Skills

communicationstakeholder managementclarity in metrics definitiondocumentation