Senior Data Analyst

Haus

Senior Data Analyst at Haus analyzing marketing and product data to optimize ROI and drive insights. Collaborating with cross-functional teams to embed data-driven decisions and strategies.

Posted 4/23/2026full-timeNew York City • California, New York, Washington • 🇺🇸 United StatesSenior💰 $150,000 - $190,000 per yearWebsite

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

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.
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.
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.

Requirements

What you’ll need

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).

Benefits

Comp & perks

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

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

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

Hard Skills & Tools

SQLdbtdata modelingdata warehouse architecturePythonanalytics engineeringforecasting modelsdata qualityfeature adoption analysiscustomer health analysis

Soft Skills

stakeholder communicationownershipbuilding from zerodata literacynarrative translationcross-functional collaborationambiguity managementpresentation skillsanalytical thinkingself-serve analytics culture