What you'll doYou'll be the first dedicated analytics hire at Haus, working directly with the Director of Data & Analytics to build the analytics function. This is a high-leverage role: you'll touch everything from GTM pipeline reporting to product engagement analysis to the dbt models and warehouse layer underneath. We're looking for a true generalist who can context-switch fluidly, move fast with modern AI-assisted tooling, and translate data into decisions that executives and cross-functional partners actually act on.
ResponsibilitiesGTM Analytics- Build and own pipeline, conversion, and ROI analytics in partnership with Revenue Operations, Marketing, Sales, and Customer Success.
- Develop forecasting models for new business acquisition and retention cohorts.
- Stand up and own the data warehouse and metric layer (Fivetran for pipelines, dbt for transformations) with GTM as the first domain.
- Build scalable, well-tested dbt models that serve as the single source of truth for business metrics.
Product Analytics- Analyze feature adoption, engagement patterns, and retention indicators across the product surface.
- Build customer health views-both at a portfolio level and drilled into specific product areas.
- Partner with Product and Engineering to instrument events and ensure data quality at the source.
- Extend the dbt layer and BI tooling (Looker, Mode, Hex, or Tableau) to serve self-serve product analytics across the org.
Stakeholder Partnership- Partner with cross-functional leaders (GTM, Product, Finance, Exec team) to embed data into daily decisions.
- Translate complex analysis into clear, exec-ready narratives-not just dashboards.
- Champion data literacy and build a self-serve analytics culture across the org.
Qualifications- 4-7 years in analytics, data, or analytics engineering roles (B2B SaaS strongly preferred).
- Hands-on fluency in SQL and dbt; comfort with data modeling and warehouse architecture.
- Experience with modern ELT tools (Fivetran or equivalent) and at least one BI platform (Looker, Mode, Hex, Tableau).
- Already using AI-assisted coding tools (Claude Code, Codex, etc.) in your day-to-day work. Not just experimenting, but relying on them to ship faster.
- Strong stakeholder communication: you can present to a CRO on Monday and pair with an engineer on Tuesday.
- Comfort operating as the first analytics hire-you thrive with ambiguity, ownership, and building from zero.
Bonus Points- Python proficiency for analysis, scripting, or lightweight ML/statistical modeling.
- Experience standing up or significantly evolving a data warehouse (not just inheriting one).
- Familiarity with product analytics instrumentation (Rudderstack, Segment,, or similar).
- Prior experience in an early-stage or high-growth startup.
- Exposure to AI/ML applications in GTM or product analytics (propensity models, lead scoring, churn prediction).
What We Offer:We're a customer-obsessed, high-ownership team focused on driving impact and learning fast. Our environment rewards curiosity, adaptability, and a bias toward action - especially when it helps us better serve our customers.
If you're energized by solving dynamic problems, enjoy working in lean, collaborative teams, and thrive in ever-evolving environments, you'll feel at home here. We invest in exceptional people who want to grow quickly and help shape the future of the company.
Some of our benefits include:
- Flexible PTO - take time when you need it!
- Equity - Startup environment with part-ownership in our successes
- Top of the line health, dental, and vision insurance - multiple plan options so you can pick what fits you best
- WFH stipend to support the set up you need to be productive
- Events & Offsites - opportunities to connect and celebrate in real life!
- Free Lunch - Grab a bite on us when you choose to work from the office (hub locations include SF, NYC and Seattle)
- New Parent Leave - take time to welcome your newest Hausmate
We are remote-friendly however candidates based in commutable distance to SF, Seattle and NYC will be prioritized as we value frequent in-person collaboration opportunities at Haus.
