Senior Product Analyst at Tines managing growth measurement and analytics. Collaborating across product, commercial, and data teams to drive business outcomes.
Responsibilities
Own activation/TTFV and retention definitions, North Star metrics, and guardrails. Maintain a single source of truth for core growth metrics. Establish and maintain event taxonomy and tracking plan.
Map the PLG funnel (visit → sign-up → onboard → activate → pay → expand). Diagnose drop-offs, size opportunities, and propose tests to improve conversion.
Identify first-value moments. Recommend in-product nudges, paywall placements, trial lengths, and credit gating. Build segments for targeted nudges; model upgrade propensity; analyze packaging/pricing experiments.
Partner with product managers to set success metrics and monitor rollouts. Work with the existing product analyst and data function to ensure PLG measurement needs are met when building new features.
Draft hypotheses and power analyses. Define success and guardrail metrics. Pre-register analyses, communicate results, and document learnings.
Build self-serve dashboards in Omni that answer top growth questions. Ship regular insights and quarterly syntheses on what we've learned about activation and growth.
Work with data engineering to design pipelines for growth data sources. Write data tests, monitor freshness/completeness, and run event QA.
Coordinate between rev ops, data engineering, platforms, and product teams. Assess tooling needs (build vs. buy decisions). Set up and instrument growth tools.
Requirements
5+ years experience in growth analytics or similar with strong focus on PLG and self-serve funnels
Deep experience with product-led growth motions in B2B SaaS
Strong SQL skills; confident with CTEs, window functions, and building funnels, cohorts, and retention analyses
Proficiency with BI tools for dashboard creation (we use Omni)
Experience with product analytics tools (PostHog, Amplitude, Mixpanel, or similar)
Experimentation fluency; can design powered experiments and analyse results rigorously
Operational mindset; experience coordinating between multiple stakeholders and teams
Strong written and oral communication; can tailor messaging to technical and non-technical audiences of varying seniority
Self-starter mentality; can unblock themselves when facing obstacles.
Nice to have: Experience with dbt for data modelling and maintaining clean, tested data models
Familiarity with experiment platforms (GrowthBook, Optimizely, or similar)
Python for data analysis, statistical modelling, and ad-hoc exploration
React or frontend framework understanding for deeper instrumentation work
Experience scaling PLG at B2B SaaS companies from startup to scale-up.
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