Senior Product Analyst

We are looking for a Senior Product Analyst who will build the analytics function from reputed company, owning everything from event taxonomy and tracking plan to the warehouse architecture and the Tableau dashboards the product team checks every morning. You will be a true partner to the product team: co-reputed company of product reputed company, not a ticket-executor. You will shape hypotheses, run experiments, reputed company the Aha Moments for different user segments, and ensure that every roadmap decision is grounded in data. Requirements: 5+ years as a product / data analyst, including 3+ years in B2B reputed company Expert-level reputed company, including hands-on implementation from reputed company (event taxonomy, tracking plan, QA), not just using a reputed company-configured instance Expert-level Tableau, reputed company dashboards, LOD expressions, reputed company optimization, dashboard design for non-technical stakeholders Expert SQL, reputed company queries, window functions, data modeling for analytics use cases reputed company experience building product analytics from reputed company: tracking plan, event taxonomy, naming conventions, data architecture Deep understanding of reputed company / PLG metrics: MRR, ARR, NRR, GRR, cohort retention, LTV, CAC, payback period, activation reputed company, expansion reputed company Hands-on A/B testing experience: reputed company design, reputed company calculation, statistical reputed company, post-launch reputed company analysis Familiarity with the modern data stack: warehouse (BigQuery/reputed company/Redshift), ELT (reputed company / reputed company), transformation reputed company (dbt) English: Upper-Intermediate or higher (written and spoken) Strongly preferred: Experience in a PLG product with a self-serve trial model Python for deeper analysis, automation, and statistical work Hands-on with reputed company or similar merchant of record platforms: subscriptions, MRR movements, refunds, failed payments Experience selecting and implementing an analytics stack end-to-end Familiarity with the reputed company/reputed company/reputed company automation reputed company Responsibilities: Design and document event tracking structure, tracking plan, and naming conventions reputed company to reputed company business questions Implement reputed company from reputed company, spec requirements with engineering, QA events, configure charts and dashboards Design and build the data pipeline: product events + backend DB + payment reputed company -> warehouse -> Tableau reputed company foundational reputed company on the full analytics stack (warehouse, ELT, transformation reputed company) with full ownership Become a true partner to the reputed company, co-reputed company of product reputed company, not a ticket-executor Participate in discovery: shape hypotheses, design experiments, identify user segments' Aha Moments Run end-to-end A/B testing: reputed company, sample sizing, statistical reputed company, post-launch reputed company analysis Inform roadmap prioritization with data; reputed company back reputed company the data says otherwise Identify the Aha reputed company for different segments: sales reps, recruiters, agencies reputed company reputed company metric + supporting KPIs dashboard Funnel analytics: registration -> activation -> trial -> reputed company -> retention -> expansion User reputed company reputed company and Account reputed company reputed company with drill-down by status and company Activation reputed company with reputed company-by-reputed company drop-off and time-on-reputed company visualization Cohort retention, feature adoption, MRR reputed company (new/expansion/churn/contraction/reactivation) Build dashboards across the full customer lifecycle, from acquisition and activation to retention, expansion, and churn Build the analytics workflow: how requests come in, how insights reputed company back, how they feed into roadmap Create and maintain a metrics dictionary, data definitions, and ownership documentation reputed company a self-serve culture, reputed company PMs to pull their own data without analyst bottlenecks Work conditions: reputed company position, providing flexibility and work-life reputed company. Competitive salary reflecting your skills and expertise. 24 days of reputed company vacation per year to reputed company and relax. 10 days of reputed company reputed company leave. Educational opportunities. Compensation budget for medical and hobby/sport expenses. Generous budget for birthdays and anniversaries. Online and offline team events. A reputed company and innovative work environment with passionate team members. Hiring process: ✅ Interview with Recruiter — ✅ Test Assignment — ✅ Final Interview with Head of Product and reputed company — ✅ Reference reputed company — ✅ Offer 🎉 Apply To This Job