Senior Data Analyst II

Compass•Boston, MA

About The Position

Compass is seeking a Senior Data Analyst II to serve as the analytical partner to its Product organization. The role sits on the central Data & Analytics team, which is building Compass International Holdings's governed analytical platform. The analyst will own the understanding of how agents, clients, and consumers engage with Compass products, identify what is working and where opportunities or risks exist, and help Product Leadership make informed roadmap and investment decisions. The position combines product analytics, strategic partnership, data quality, and mentorship. The analyst will define and evaluate product success metrics, turn raw event data into trusted and reusable measures in partnership with Analytics Engineering, and work with Analytics and Data Engineering to establish tracking standards and address telemetry gaps. They will also mentor junior analysts and communicate complex findings clearly to senior stakeholders.

Requirements

  • At least 5 years of analytics experience, 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.
  • Demonstrated 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 what the numbers show.
  • Ability to make sound, defensible claims from observational data and clearly explain the limits of what the data supports.
  • Track record of influencing decisions with senior product leaders, presenting complex analyses as concise executive narratives, and delivering difficult findings.
  • Experience taking accountability for outcomes and guiding junior analysts.

Nice To Haves

  • Experience with Heap, Segment, Amplitude, or similar event analytics platforms.

Responsibilities

  • Own the analysis of product engagement among agents, clients, and consumers, including adoption, depth, retention, and cross-group effects.
  • Partner with Product Leadership on roadmap and investment decisions by framing options and trade-offs.
  • Identify user behavior, engagement risks, and adoption opportunities that Product Leadership may not have recognized, and present evidence-based recommendations.
  • Define success metrics before product launches and assess post-launch impact using cohort, pre/post, and other observational methods when controlled experiments are unavailable.
  • Prototype engagement metrics using platform data in the lakehouse 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

  • 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.
  • Professional growth opportunities.
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