Senior Data Analyst II

Compass•New York, NY

5d•$138,000 - $153,000

About The Position

The Senior Data Analyst II will be an analytical partner to Compass’s Product organization, working on the central Data & Analytics team to understand how agents, their clients, and consumers engage with the company’s platform. The role owns the analysis of product adoption, engagement, and retention, identifies user behavior and opportunities, and helps Product Leadership make informed roadmap and investment decisions. The analyst will define and evaluate product success metrics, analyze event data in the lakehouse, and collaborate with Analytics Engineering to develop governed, reusable metrics. The role also partners with Analytics and Data Engineering to establish tracking standards, identify telemetry gaps, and prioritize product analytics requests. It includes mentoring junior data analysts and communicating complex findings to senior leaders. The base pay range is $138,000–$153,000, with possible bonuses and restricted stock units. Pay may vary based on job-related knowledge, skills, experience, and market location. The position also offers a range of benefits and incentive programs.

Requirements

At least 5 years of experience in analytics, including significant product or behavioral analytics experience with funnels, cohorts, retention, and engagement segmentation.
Advanced SQL and Python skills.
Hands-on experience shaping and querying raw event or clickstream data.
Experience validating telemetry, auditing event tracking, and partnering with engineering teams to resolve data discrepancies before metrics reach decision-makers.
Ability to form a clear point of view on what matters to users and the business, beyond reporting numbers.
Ability to make sound, defensible claims from observational data and explain the limitations of that data.
Track record of influencing senior Product leaders and presenting complex analysis in concise executive narratives, including findings stakeholders may not want to hear.
Accountability for outcomes and experience guiding junior analysts.

Nice To Haves

Experience with Heap, Segment, Amplitude, or similar event or product analytics tools.

Responsibilities

Own analysis of product adoption, engagement depth, retention, and how engagement across agents, clients, and consumers relates to outcomes.
Partner with Product Leadership on roadmap and investment decisions by structuring options and trade-offs.
Identify user behavior, engagement risks, and adoption opportunities, and present evidence-based recommendations.
Define success metrics before product launches and evaluate impact afterward using cohort, pre/post, and other observational methods when controlled experiments are unavailable.
Use lakehouse event data to prototype engagement metrics and partner with Analytics Engineering to establish governed, reusable definitions.
Partner with Analytics and Data Engineering to define tracking standards, identify telemetry gaps, and prioritize incoming product analytics requests.
Mentor junior data analysts in scoping, analytical methods, and stakeholder partnership.
Communicate complex analyses as concise executive narratives and shape decisions with senior Product leaders.