Senior Data Analyst II
About The Position
Compass is seeking a Senior Data Analyst II to serve as an analytical partner to its Product organization. The role sits on the central Data & Analytics team, which is building the governed analytical platform for Compass International Holdings. The analyst will own the picture of how agents, their clients, and consumers engage with Compass products, and help Product Leadership understand what is working, what is not, and where opportunities or risks may be emerging. The role combines product analytics, strategic partnership, and data quality work. The analyst will define and evaluate product success metrics, turn raw platform event data into trusted engagement metrics, and work with Analytics Engineering and Data Engineering to establish reliable, reusable definitions and tracking standards. They will communicate evidence and recommendations to senior leaders, make defensible conclusions from observational data, and mentor junior analysts.
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 working with engineering teams to resolve data discrepancies before metrics reach decision-makers.
- Ability to form a point of view about what matters to users and the business, beyond reporting what the numbers show.
- Ability to make sound, defensible claims from observational data and clearly explain the limitations of the evidence.
- Track record of influencing decisions with senior Product leaders and communicating complex analyses concisely, including delivering unwelcome findings.
- Accountability for outcomes and experience guiding junior analysts.
Nice To Haves
- Experience with Heap, Segment, Amplitude, or similar event analytics tools.
Responsibilities
- Own analysis of product adoption, engagement depth, and retention among agents, clients, and consumers, including how engagement across groups 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 that Product Leadership may have overlooked, and provide evidence and 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 metric definitions.
- Partner with Analytics and Data Engineering to define tracking standards, detect 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 present findings to senior Product leaders.
Benefits
- Incentive programs, which may include eligible cash, equity, or commissions.
- 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.
- Competitive compensation packages and professional growth opportunities.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
