Sr. Analytics Manager - User Growth & Engagement

Rocket Companies•Seattle, WA

1d•$170,000 - $230,000•Hybrid

About The Position

Redfin is seeking a Sr. Analytics Manager to lead a team of analysts covering activation and optimization across Redfin and Rentals. Your team optimizes user-facing product experiences and programs through experimentation, measurement, and analysis that improve engagement, retention, conversion, and inventory outcomes across the for-sale and rentals B2C funnels. This is a senior, hands-on leadership role. You will lead and develop a large team while staying close to the work yourself, shaping methodology, raising the quality bar, and serving as the analytical voice senior product and business leaders turn to on the hardest growth questions.

Requirements

9+ year career in digital and product analytics, with a track record on consumer-facing products at scale.
5+ years of experience directly leading analytics teams. People leadership experience at this scale is required for this role.
Deep, hands-on expertise in A/B and multivariate testing, including experimental design, power and sample sizing, interaction effects, guardrails, sequential testing, and the judgment to know when a result is real.
Strong working experience with Snowflake and strong SQL, including performance-aware queries, data modeling, and building reusable analytical layers.
Strong Tableau experience, including building analytical products others rely on rather than one-off dashboards.
Demonstrated, practical use of AI in an analytics workflow, with specific examples of how it changed your team's speed, quality, or leverage.
Strong statistical and causal reasoning foundation, including approaches for when a clean randomized test isn't possible, such as incrementality, quasi-experimental design, and holdouts.
Proficiency in Python or R for analysis.
Experience owning funnel, activation, engagement, retention, and conversion measurement for a consumer product.
Excellent communication and stakeholder management skills, with a track record of influencing senior product and business leaders.

Nice To Haves

Experience in marketplaces, real estate, rentals, travel, or another two-sided consumer category where supply and inventory dynamics shape demand.
Experience with rentals or subscription B2C growth, including lead quality and monetization measurement.
Experience building experimentation platforms, metric layers, or self-serve analytics that outlived your involvement in them.
Background in a regulated industry, with an understanding of how compliance constraints shape testing and targeting.
Bachelor's degree in a quantitative field, or equivalent practical experience.

Responsibilities

Lead, coach, and develop a team of 7-8 analytics professionals, setting clear priorities, structuring the team for coverage across for-sale and rentals, and raising the analytical quality bar across the group.
Own the experimentation program for product activation and optimization, including test design, sample sizing, guardrail metrics, sequential and multivariate approaches, observability, and honest interpretation of results.
Drive measurement and optimization of user-facing product experiences and lifecycle programs that move engagement, retention, conversion, and inventory outcomes.
Own rentals B2C growth analytics: renter acquisition and activation, search and discovery, lead quality, listing and inventory health, and the tradeoffs between renter demand and supply-side outcomes.
Build durable measurement foundations, including KPI frameworks, funnel and cohort diagnostics, dashboards, and a recurring business review rhythm that leaders actually use.
Design and maintain scalable analytical assets in Snowflake, including well-modeled datasets, shared metric definitions, and self-serve Tableau analytics that reduce one-off request volume.
Partner closely with Product, Engineering, Design, and Finance on complex cross-functional growth problems, and represent analytics in senior forums.
Set the analytical strategy for major product and growth investments, helping teams understand performance, unit economics, incrementality, and tradeoffs and owns the quarterly analytics roadmap, prioritizing the highest-impact opportunities.
Embed AI into how the team works, accelerating exploratory analysis, code generation, documentation, and synthesis, with guardrails appropriate to a regulated environment.
Translate ambiguous business questions into clear analytical plans, and translate results into recommendations senior leaders can act on.
Hire thoughtfully as the team grows, and build the bench through coaching and direct feedback.