Senior Product Analyst managing product analytics across PetScreening's suite. Leading data accuracy and insight delivery to product leaders with high autonomy.
Responsibilities
Own product analytics across our product suite, defining how product usage is tracked, measured, and understood (yes, including the arguments about what actually counts as usage).
Lead the implementation and ongoing evolution of Amplitude (e.g.), including event taxonomy, data models, and governance—so “event sprawl” doesn’t quietly ruin everyone’s dashboards.
Partner with frontend and backend engineers to implement, validate, and maintain accurate client-side and server-side event tracking (because “it should be firing” is not a validation strategy).
Combine event data (e.g. Amplitude) with application data (e.g. Postgres → Snowflake) to analyze product usage, adoption, and behavior—and reconcile the moments when the numbers disagree.
Write advanced SQL to identify trends, validate data accuracy, and answer ambiguous product questions.
Deliver clear insights, dashboards, and narratives that inform product strategy and prioritization—ideally without needing a 20-minute explanation of how the metric is calculated.
Enable Product Managers to define success metrics and effectively measure outcomes (and gently intervene when success is defined as “people seem to like it”).
Act as the primary point of contact with Amplitude to ensure we are getting maximum value from the platform and not just paying for features no one uses.
Requirements
5+ years of experience in product analytics, product data, or a related analytics role.
Deep hands-on experience with event-based analytics tools (e.g. Amplitude, Segment, Pendo, etc.).
Advanced SQL skills and experience working with large, production-scale datasets—comfortable reading queries you wrote six months ago and wondering what past-you was thinking.
Experience working with data warehouses (Snowflake preferred) and application (relational) databases (e.g. Postgres or similar).
Strong understanding of client-side vs. server-side event tracking and their tradeoffs (and why “let’s just track it both ways” is not always the answer).
Experience with BI and visualization tools (e.g., Astrato, Looker, Tableau, etc.).
Strong intuition for how users interact with products and how to measure meaningful behavior.
Ability to translate ambiguous product questions into concrete analytical approaches.
Comfortable challenging assumptions and calling out data quality or interpretation issues—politely, but firmly.
Able to balance rigor with pragmatism when working with imperfect data (because perfect data is a myth).
Clear, concise communicator who can explain insights to both technical and non-technical audiences.
Comfortable partnering directly with Product Managers, Engineers, and Product Leadership.
Proactive, opinionated, and able to operate effectively as a first-of-its-kind role—without waiting for a playbook that doesn’t exist yet.
Benefits
Medical/Dental/Vision/HSA benefits offered after 30 days of employment.
Company sponsored Life Insurance and Short Term Disability.
Optional Life Insurance and Long Term Disability Plans.
401(k) with 3% match regardless of employee contribution.
Quarterly open enrollment.
Paid time off accrual beginning first day of employment.
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