Senior Data Analyst II

Compass • Seattle, WA

4d

About The Position

At Compass, the Senior Data Analyst II will serve as the analytical partner to the Product organization, working on the central Data & Analytics team and collaborating day to day with Product Leadership. The role owns the picture of how agents, clients, and consumers engage with Compass products, identifying what works, what does not, and emerging opportunities. The Data & Analytics team is building Compass International Holdings's governed analytical platform.

The analyst will influence product roadmaps and investment decisions, define and assess product success metrics, and turn raw platform event data into trusted, governed metrics in partnership with Analytics Engineering. They will also work with Analytics and Data Engineering on tracking standards, telemetry quality, and prioritization of product analytics requests, while mentoring junior analysts.

Requirements

• At least 5 years of experience in analytics, including significant experience in product or behavioral analytics involving 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 numerical results.
• Ability to make sound, defensible claims from observational data and communicate what the data can and cannot support.
• Track record of influencing decisions with senior product leaders and translating complex analyses into concise executive narratives, including delivering unwelcome findings.
• Accountability for outcomes and experience guiding junior analysts.

Nice To Haves

• Experience with Heap, Segment, Amplitude, or similar tools.

Responsibilities

• Own analysis of adoption, depth, retention, and engagement across agents, clients, and consumers, including how engagement in one group affects outcomes in another.
• Partner with Product Leadership as a strategic thought partner on roadmap and investment decisions, structuring options and trade-offs.
• Identify user behavior, engagement risks, and adoption opportunities that Product Leadership may have overlooked, and provide 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 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 incoming product analytics requests.
• Mentor junior data analysts on project scoping, analytical methods, and stakeholder partnership.

Benefits

• Paid vacation, holidays, sick time, parental leave, and recharge leave.
• Medical, tele-health, dental, and vision benefits.
• 401(k) plan.
• Flexible spending accounts (FSAs).
• Commuter program.
• Life and disability insurance.
• Maven support system for new parents.
• Carrot fertility benefits.
• UrbanSitter caregiver referral network.
• Employee Assistance Program.
• Pet insurance.
• Incentive programs that may include eligible cash, equity, or commissions.
• Bonuses and restricted stock units may be provided as part of the compensation package.

What This Job Offers

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