We are looking for a Senior Product Analyst who will build the analytics function from zero, 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-author of product decisions, not a ticket-executor. You will shape hypotheses, run experiments, find 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 SaaS
Expert-level Amplitude, including hands-on implementation from scratch (event taxonomy, tracking plan, QA), not just using a pre-configured instance
Expert-level Tableau, complex dashboards, LOD expressions, performance optimization, dashboard design for non-technical stakeholders
Expert SQL, complex queries, window functions, data modeling for analytics use cases
Proven experience building product analytics from zero: tracking plan, event taxonomy, naming conventions, data architecture
Deep understanding of SaaS / PLG metrics: MRR, ARR, NRR, GRR, cohort retention, LTV, CAC, payback period, activation rate, expansion revenue
Hands-on A/B testing experience: hypothesis design, power calculation, statistical significance, post-launch impact analysis
Familiarity with the modern data stack: warehouse (BigQuery/Snowflake/Redshift), ELT (Fivetran / Airbyte), transformation layer (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 FastSpring 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 sales-tech/outreach/LinkedIn automation space
Responsibilities:
Design and document event tracking structure, tracking plan, and naming conventions aligned to real business questions
Implement Amplitude from scratch, spec requirements with engineering, QA events, configure charts and dashboards
Design and build the data pipeline: product events + backend DB + payment system -> warehouse -> Tableau
Make foundational decisions on the full analytics stack (warehouse, ELT, transformation layer) with full ownership
Become a true partner to the product owners, co-author of product decisions, not a ticket-executor
Participate in discovery: shape hypotheses, design experiments, identify user segments' Aha Moments
Run end-to-end A/B testing: hypothesis, sample sizing, statistical significance, post-launch impact analysis
Inform roadmap prioritization with data; push back when the data says otherwise
Identify the Aha Moment for different segments: sales reps, recruiters, agencies
North Star metric + supporting KPIs dashboard
Funnel analytics: registration -> activation -> trial -> paid -> retention -> expansion
User Base Overview and Account Base Overview with drill-down by status and company
Activation flow with step-by-step drop-off and time-on-step visualization
Cohort retention, feature adoption, MRR movement (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 flow back, how they feed into roadmap
Create and maintain a metrics dictionary, data definitions, and ownership documentation
Drive a self-serve culture, enable PMs to pull their own data without analyst bottlenecks
Work conditions:
100% remote position, providing flexibility and work-life balance.
Competitive salary reflecting your skills and expertise.
24 days of paid vacation per year to recharge and relax.
10 days of paid sick leave.
Educational opportunities.
Compensation budget for medical and hobby/sport expenses.
Generous budget for birthdays and anniversaries.
Online and offline team events.
A collaborative and innovative work environment with passionate team members.
Hiring process:
✅ Interview with Recruiter — ✅ Test Assignment — ✅ Final Interview with Head of Product and Operations — ✅ Reference Check — ✅ Offer 🎉
5+ years as product/data analyst in B2B SaaS; expert Amplitude, Tableau, SQL; experience building product analytics; SaaS/PLG metrics; A/B testing; modern data stack.
Key Responsibilities
- Design tracking
- Implement Amplitude
- Build data pipeline
Skills & Tools
Amplitude, Tableau, SQL, BigQuery, Snowflake, Redshift, Fivetran, Airbyte, dbt, Python
Job Details
- Category: Data and Analytics
- Seniority: Senior Level
- Commitment: Full Time
- Workplace: Remote — Larnaca, /, Cyprus
- Languages: English
Benefits
- Generous paid time off
About Dripify
Human-first outbound automation platform for LinkedIn and email. — Industry: Information Technology