About Haus
Haus is a first of its kind decision science platform for the new digital privacy paradigm where data sharing and PII is restricted. Haus uses frontier causal inference based econometric models to run experiments and help brands understand how the actions they take in marketing, pricing and promotions impact the bottom line. Our team is comprised of former product managers, economists and engineers from Google, Netflix, Amazon and Meta who saw how costly it is to support high-quality decision science tooling and incrementality testing. Our mission is to make this technology available to all businesses, where all the heavy lifting of experiment design, data cleaning, and analysis/insights are taken care of for you. Haus is working with well known brands like FanDuel, Sonos, and Hims & Hers, and has seen more than 30x ROI by running experiments and helping brands make more profitable decisions. We are backed by top VCs like Insight Partners, 01 Advisors, Baseline Ventures, and Haystack.
What you’ll do
You will lead a team of analysts and data scientists partnering with Measurement Strategy and Product Science leaders to scale the delivery and interpretation of experiment results and insights from our cutting-edge science platform. Your team’s work will be critical to meeting growing customer demand with clarity, speed, and reliability. As a trusted leader, you will ensure customers understand and gain value from our scientific outputs, driving confidence and long-term adoption.
Working cross-functionally with Science, Engineering, Product, and Measurement Strategy teams, you will be accountable for the quality, consistency, and impact of analytical deliverables. You’ll help translate complex statistical findings into actionable insights for customers, and ensure our processes can scale with business needs.
The ideal candidate is an experienced analytics leader who thrives in fast-paced, cross-functional environments. You’ve managed high-performing analysts, love developing people, and know how to balance strategic vision with tactical execution. You will be responsible for developing and enforcing best practices for robust analysis, team workflows, customer communications, and stakeholder alignment. You will also serve as a thought partner to senior leadership and an advocate for the analytics function across the organization.
Please apply if you want to grow a high-impact team, shape the future of an emerging data science platform, and deliver real, measurable value to customers.
Responsibilities
Qualifications
What we offer
Haus is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
#Analytics #Manager
