Senior Demand and Forecasting Analytics Manager

Rocket Companies • Detroit, MI

3d • $153,500 - $199,800 • Hybrid

About The Position

Redfin is seeking a Senior Demand and Forecasting Analytics Manager to lead a data science team responsible for core systems, including routing customers to agents and forecasting business performance and budget. The team develops processes and models that inform production decisions and define Redfin’s key performance indicators. This is a senior, hands-on leadership role that combines team development with direct analytical work, improving methods and practices, raising quality, and advising senior business leaders on complex problems.

The role is hybrid, with in-office work on Tuesdays and Wednesdays in the Seattle or Detroit offices and remote work on other days. Highly qualified candidates who live outside those areas may be considered for a fully remote arrangement.

The position partners across Product, Engineering, and Finance, sets analytical strategy for major product investments, and owns the quarterly analytics roadmap. It also includes building scalable analytical assets and self-service business intelligence, and integrating AI into the team’s analytics workflow with appropriate review practices and safeguards.

Redfin is part of Rocket Companies and describes its work as building an integrated homeownership platform. Compensation is $153,500–$199,800, with possible eligibility for an annual bonus, incentives, and other employment-related benefits. The posting specifically mentions medical, dental, vision, a 401(k) retirement plan, and paid time off.

Requirements

• At least 9 years of experience in analytics, preferably in a data science role.
• At least 5 years of experience directly leading data science teams.
• Strong foundation in statistical and causal reasoning.
• Excellent communication and stakeholder management skills, with a track record of influencing senior product and business leaders.
• Strong commercial and financial acumen, including mastery of budgeting dynamics, top-line drivers, and bottom-line margin expansion.
• Proven ability to balance near-term revenue targets against long-term profitability.
• Experience leading AI-assisted analytics teams and designing review practices for AI-produced work.
• Practical use of AI in an analytics workflow, with specific examples of its effect on team speed, quality, or leverage.
• Expertise in SQL, data modeling, and building reusable analytical layers.
• Background constructing scalable, self-service business intelligence solutions used across an organization.

Nice To Haves

• Snowflake experience.
• Analytics experience in a data science role.

Responsibilities

• Lead, coach, and develop a team of four to five data scientists and business intelligence engineers.
• Act as a thought partner to senior data scientists, asking questions and helping solve problems.
• Embed AI into team workflows for exploratory analysis, code generation, documentation, and synthesis, with appropriate guardrails for a regulated environment.
• Design and maintain scalable analytical assets in Snowflake, including well-modeled datasets, shared metric definitions, and self-service Tableau analytics that reduce one-off requests.
• Partner with Product, Engineering, and Finance on complex cross-functional problems and represent analytics in senior forums.
• Set analytical strategy for major product investments and own the quarterly analytics roadmap, prioritizing high-impact opportunities and clearly defining work the team will not prioritize.
• Translate ambiguous business questions into analytical plans and communicate findings as actionable recommendations for senior leaders.
• Develop models and processes that support customer routing, business projections, production decisions, and company KPIs.

Benefits

• Medical benefits
• Dental benefits
• Vision benefits
• 401(k) retirement plan
• Paid time off
• Possible annual bonus and incentives
• Other employment-related benefits and perks; details are available in the company’s full benefits and perks list.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed