Staff Analytics Engineer

• RevOps, Sales, and Product teams can self-serve answers to common questions using trusted, pre-built data models.
• Prioritize the questions that move the business; partner closely with Engineering, Product, BizOps, and Finance.
• Own KPI definitions in partnership with BizOps/RevOps/Finance. Translate business logic into well-tested, production-grade SQL and data models that power canonical metrics (e.g., activation, TTFV, ARR/NRR, funnels, cohorts), with automated testing and clear documentation.
• A documented tracking plan and daily-fresh core models behind our most important dashboards.
• Build lightweight governance aligned with SOC 2 and our ISO 27001 ambitions (tests, access controls, PII hygiene).
• Own the data loop end-to-end: instrument key events, build clean models, define a single metrics layer (one source of truth), and enable self-serve BI.

We make big decisions across our product, GTM, and operation organizationsbut our data foundation needs a dedicated owner to drive our decision-making processes. You'll be the first person to connect product usage revenue outcomes into a single, trusted source of truth and to enable teams to self-serve with confidence.

• Deep experience designing and implementing reliable event schemas for product analytics.
• 5-8+ years of relevant experience, with a proven track record of building 01 data foundations (ideally at a B2B SaaS company).
• Strong communication and ownership; you have a strong bias for clarity, reliability and practicality.
• A simple, trusted KPI set used in exec/board updates.
• Bachelor's degree in Computer Science, Data Analytics or related fieldpreferred; high school diploma required
• Nice-to-haves: Redshift/BigQuery/Snowflake; Salesforce/HubSpot familiarity; Git/CI for data; data quality/observability tooling; construction/AEC domain context.
• Ability to be in our Austin office a minimum of one day a week- this is a highly collaborative role and will require some in-person alignment
• Excellent SQL; modern modeling (e.g., dbt or equivalent) and Python for pipelines/orchestration.

• Paid Parental Leave
• Substantial internal growth opportunities and emphasis on personal & professional development
• Flexible Time Off Policy
• Monthly technical allowance
• World class medical, dental, and vision benefits
• Participation in the employee stock option program
• Getting in close to the ground floor of an incredibly high-growth business
• Ability to participate in our 401k
• Company paid Short Term Disability, Long Term Disability and Life Insurance