Staff Analytics Engineer

What you’ll do

• Own the centralized data assets that serve as the source of truth for the company's most important operational questions, including their governance and quality guarantees.
• Design scalable data architectures and well-modeled dbt/Snowflake layers that stay performant across SaaS-scale datasets.
• Model Stripe data with precision — payments, subscriptions, revenue, and related financial flows.
• Codify and democratize standards for SQL optimization, query reusability, documentation, testing, monitoring, and code review, driving consistency and efficiency across the team.
• Lead the technical execution of high-complexity BI and analytics projects in Hex, from design through production.
• Partner with engineering, product, operations, and GTM teams to understand their needs and translate them into high-impact data solutions.

What we’re looking for

• 8+ years in analytics engineering, data engineering, or a closely related IC role, with recent depth in modeling for consumption — not just pipeline delivery.
• Fluency in SaaS business metrics (MRR, retention, churn, cohorts, expansion) and the modeling decisions behind them.
• Extensive Snowflake and dbt experience: incremental strategies, testing, macros, semi-structured data, and an eye on warehouse performance and cost.
• Advanced SQL, including the judgment to spot where a model will silently produce wrong numbers rather than fail loudly.
• Deep fluency in subscription billing and payments data: invoices, proration, refunds, and revenue recognition Finance can close the books on, applied both to company revenue and to how our payments product is performing.
• Track record owning centralized fact and dimension layers the whole company depends on.
• Ability to turn ambiguous business questions into durable models, and to raise the bar around you through code review, documentation, and standards.
• A failure-modes instinct — anticipates what breaks before shipping, and designs for maintainability over cleverness.

Bonus points if you…

• Have used Python for ingestion work — Snowpark, custom connectors, or Fivetran
• Have experience with Heap or similar product analytics tools
• Are familiar with RevOps and CX data stacks (HubSpot, Salesloft, Twilio, Dialpad)
• Bring previous startup or high-growth SaaS experience, ideally SMB or product-led

What we offer

• Full Medical, Dental, and Vision Health Coverage
• Computer and workspace enhancements
• Monthly stipend for mental and physical health
• 401(k) plan (non-matching)
• Unlimited vacation, 9 company holidays including election day, and 1 personal volunteer day a year
• Company-paid Wellhub membership for fitness and wellness
• Dinner covered with Uber Eats + a stocked kitchen to keep you fueled
• Opportunity to take on significant responsibility and ownership in scaling a product that can change the lives of home service pros
• Fun-filled team that doesn’t take themselves too seriously, including virtual cameos from the team dog mascots Caro and Alta