Analytics Manager

Summary

Join Haus, a leading decision science platform, as an Analytics Manager to lead a team of analysts and data scientists. You will collaborate with cross-functional teams to scale the delivery and interpretation of experiment results. Your responsibilities include designing and operationalizing workflow improvements, guiding your team in advising customers, and recruiting and developing team members. The ideal candidate is an experienced analytics leader with a strong technical foundation and excellent communication skills. You will be responsible for building and enforcing best practices for robust analysis and customer communications. This role offers the opportunity to grow a high-impact team and shape the future of the platform.

Requirements

• Degree in Economics, Statistics, Data Science, or related field
• 8+ years working in a Analyst/Data Scientist role
• Minimum of 3 years of experience leading analytics or data science teams, with a focus on people development and performance
• Proven ability to manage multiple high-volume projects in fast-paced, cross-functional environments
• Passion for building 0-to-1 systems, processes, and teams from the ground up
• Strong customer-facing experience, with the ability to build trust and communicate technical insights to non-technical stakeholders
• Strong technical foundation with experience reviewing and debugging analytics delivered by your team
• Proficiency with analytical tools such as Looker, Tableau, dbt and proficient in languages such as Python and SQL. Able to support and guide team members in technical execution

Responsibilities

• Lead cross-functional collaboration with Measurement Strategy, Science, and Product to identify and address gaps in how we deliver, communicate, and scale scientific results for customers
• Design and operationalize improvements to workflows, visualizations, and key metrics that ensure consistent, scalable, and high-quality analytical outputs across the customer base
• Guide your team in advising customers on interpreting test results and understanding scientific methodologies, translating complex analyses into clear, actionable insights
• Recruit, coach, and develop analysts and data scientists, elevating their technical and communication skills in areas such as experimental design, validation techniques, model monitoring, and alerting best practices

Preferred Qualifications

Familiarity with marketing measurement methodologies, particularly geo-based or regional testing, is a plus

Benefits

• Competitive salary and startup equity
• Top of the line health, dental, and vision insurance
• 401k plan
• Tools and resources you need to be productive (new laptop, equipment, you name it)
• $190,000 - $240,000 a year