Senior Data Analyst II

Compass•Austin, TX

About The Position

Compass is seeking a Senior Data Analyst II to join its central Data & Analytics team and serve as an analytical partner to the Product organization. The team is building Compass International Holdings's governed analytical platform. In this role, you will own the understanding of how agents, clients, and consumers engage with Compass products, identifying what is working, what is not, and opportunities that may not yet be visible to Product Leadership. You will partner with Product Leadership on roadmap and investment decisions, define and assess product success metrics, and turn platform event data into trusted, reusable engagement measures. You will also work with Analytics Engineering and Data Engineering on governed metrics, tracking standards, data quality, and product analytics intake. The role includes mentoring junior analysts and communicating rigorous, evidence-based findings to senior stakeholders. The base pay range is $138,000–$153,000, with actual base pay varying based on job-related knowledge, skills, experience, and market location. Bonuses and restricted stock units may also be provided as part of the compensation package.

Requirements

At least 5 years of experience in analytics, including significant experience in 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 working 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.
Ability to make sound, defensible claims from observational data and explain the limits of what the data can support.
Track record of influencing decisions with senior product leaders and presenting complex analyses as concise executive narratives.
Accountability for outcomes and experience guiding or mentoring junior analysts.

Nice To Haves

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

Responsibilities

Own the understanding of product engagement across agents, clients, and consumers, including adoption, depth, retention, and how engagement in one group affects outcomes in another.
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 after launch using cohort, pre/post, and other observational methods when controlled experiments are unavailable.
Use lakehouse platform 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 help prioritize product analytics requests.
Mentor junior data analysts on scoping, analytical methods, and stakeholder partnership.
Communicate complex analyses as concise executive narratives and deliver findings to senior product leaders.