Analytical Lead

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 partner directly with the Measurement Strategy team to support the delivery and interpretation of results from our cutting-edge science platform to meet fast growing customer demands. You will serve as a trusted advisor to our customers, focusing on driving value and confidence in results. Collaborating across Measurement Strategy, Science, Engineering, and Product teams, you will develop solutions to ensure robust, reliable results and seamless communication at scale.

The ideal candidate is excited to dive deep into the data and communicate actionable insights to diverse audiences. You will be instrumental in delivering solutions that drive customer value and increase results robustness, process efficiency, and technical clarity. You thrive in dynamic environments, enjoy collaborating with cross-functional stakeholders, and are passionate about continually improving processes and helping customers unlock the full value of our platform.

Please apply if you want to provide real value, learn new things, and own the delivery of critical insights on a growing data science product.

Responsibilities

Qualifications

About you

What we offer

Salary ranges are determined by role and level, and within the range individual pay is determined by additional factors including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in this job posting reflect the base salary only, and do not include equity or benefits.

Additional Information

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.