Senior Demand and Forecasting Analytics Manager

Rocket Mortgage•Seattle, WA

2d•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 customer routing to agents and business projections used for budgeting. The team develops the processes and models that inform production decisions and define key company KPIs. This is a hands-on leadership role combining team development with direct analytical work, methodological leadership, and advising senior business leaders. The role is hybrid, with office attendance on Tuesdays and Wednesdays at the Seattle or Detroit offices and remote work on other days. Highly qualified candidates outside those areas may be considered for a fully remote arrangement. Redfin is a technology-powered real estate brokerage and search platform and is part of Rocket Companies. The role partners across Product, Engineering, and Finance to guide major product investments and analytics strategy. Compensation is $153,500–$199,800, with possible annual bonus and incentives. Eligible team members may receive medical, dental, vision, 401(k), paid time off, and other benefits.

Requirements

At least 9 years of experience in analytics, preferably in a data science role.
At least 5 years of direct experience 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 thorough 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.
Experience designing review processes for AI-produced work to avoid bottlenecks.
Demonstrated 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.
Proven background constructing scalable, self-service business intelligence solutions used across an organization.

Nice To Haves

Snowflake experience.

Responsibilities

Lead, coach, and develop a team of four to five data scientists and business intelligence engineers.
Partner with senior data scientists by asking effective questions and helping solve problems.
Embed AI into team workflows for exploratory analysis, code generation, documentation, and synthesis, using appropriate safeguards for a regulated environment.
Support each team member according to their needs and development goals.
Design and maintain scalable analytical assets in Snowflake, including well-modeled datasets, shared metric definitions, and self-service Tableau analytics.
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 help teams understand tradeoffs.
Own the quarterly analytics roadmap, prioritize high-impact opportunities, and clearly communicate work the team will not prioritize.
Translate ambiguous business questions into analytical plans and communicate results as actionable recommendations for senior leaders.
Raise analytical quality standards and shape team methods and practices.