Senior Data Analyst at Haus Analytics

You're a seasoned analytics professional with 4-7 years of experience, preferably in B2B SaaS, ready to build out an analytics function from the ground up. You'

Work type: hybrid

Location: New York, NY; San Francisco, CA; Seattle, WA

Salary: $150,000 – $190,000/yr

Type: Full-time

Summary

You're a seasoned analytics professional with 4-7 years of experience, preferably in B2B SaaS, ready to build out an analytics function from the ground up. You're comfortable as the first dedicated analytics hire, thriving with ownership and ambiguity, and can translate complex data into actionable insights for executives. **What makes it worth a look...** Haus Analytics is hiring a Senior Data Analyst for a full-time, hybrid role in New York, San Francisco, or Seattle, offering a competitive salary of USD 150,000 - 190,000 per year. They are a well-capitalized, VC-backed startup recognized by LinkedIn as a Top Startup for 2025. **You might be a good fit if you...** * Have hands-on fluency in SQL and dbt, with experience in data modeling and warehouse architecture. * Are comfortable using modern ELT tools like Fivetran and BI platforms such as Looker, Mode, Hex, or Tableau. * Actively use AI-assisted coding tools like Claude Code or Codex in your daily workflow. * Have experience instrumenting product events and ensuring data quality at the source.

Job Description

About Haus

Haus is the incrementality platform leading brands trust to optimize billions in ad spend worldwide. Using frontier causal inference-based econometric models to run experiments, we help brands measure the business impact of marketing, pricing, and promotions with scientific precision. Over $360B is spent annually on paid advertising in the US alone, and the famous quote “half the money I spend on advertising is wasted; the trouble is I don't know which half” still rings true. Haus helps marketers identify which half, and reallocate it to maximize growth.

With a founding team of former product managers, economists, and engineers from Google, Netflix, Meta, and Amazon, we make high-quality decision science, incrementality testing, and causal marketing mix modeling accessible to businesses of all sizes—automating the heavy lifting of experiment design, data processing, and insights generation. Haus works with leading brands like FanDuel, Sonos, and Dr. Squatch, delivering ROI gains as high as 30x.

Haus is well-capitalized and backed by top-tier VCs, including Insight Partners, Baseline Ventures, Haystack, and others. We're honored that Haus has once again been recognized by [LinkedIn as a 2025 Top Startup](https://www.linkedin.com/pulse/linkedin-top-startups-2025-50-us-companies-rise-linkedin-news-hox6f/)!

# What you'll do

You’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.

# Responsibilities

GTM Analytics





Product Analytics





Stakeholder Partnership




# Qualifications







# Bonus Points






# 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:








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.

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