Senior Product Analyst

What Youll Do:

• Own funnels and success metrics: Own measurement for key journeys end-to-end with metrics tied to business outcomes (e.g. leads conversion retention seller activation). Define leading indicators and guardrails so teams know what to optimize and what to protect.

• Lead experimentation and causal evaluation: Design and evaluate experiments (A/B tests holdouts quasi-experiments when needed). Get sizing right interpret results responsibly and convert findings into rollout decisions and clear next steps.  

• Run deep dives that drive action: Use segmentation cohorts and journey analysis to pinpoint drop-offs and behaviors. Quantify root causes size the opportunity and recommend the highest-leverage product moves.  

• Build dashboards stakeholders trust: Create durable dashboards and recurring readouts that make product health and key drivers easy to understand surface anomalies early and support faster decisions across Product and Business.  

• Raise tracking and data quality: Identify tracking gaps early define event requirements with engineers validate implementations and keep metric definitions consistent so teams can rely on the numbers.  

• Influence through clarity: Partner with PMs and Designers to sharpen problem statements success criteria and scope. Align success metrics and tracking early (before build starts) not after launch. Push for the smallest change that proves impact then iterate.

Qualifications :

What Were Looking For:

• Product analytics experience: 4-6 years in Product Analytics owning funnels metric frameworks and decision support for consumer products or marketplaces.

• Strong SQL and analytical depth: Expert in SQL and comfortable working with large messy datasets. Produces accurate decision-grade analysis under ambiguity.

• Experimentation and causal thinking: Hands-on designing and evaluating experiments including sizing guardrails and interpreting results responsibly beyond statistical significance alone.

• Measurement and instrumentation mindset: Comfortable with event-based tracking defining requirements with engineers validating implementations and keeping metric definitions consistent.

• Dashboarding and data storytelling: Builds dashboards and recurring readouts that stakeholders trust with clear metric definitions drivers and decision-oriented narratives (Looker/Tableau/Data Studio or similar).

• Product sense and stakeholder influence: Connects user behavior to product and business outcomes communicates crisply handles pushback and drives alignment across Product Design Engineering and Business partners.

Additional Information :

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Remote Work :

No

Employment Type :

Full-time