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Head of Product Analytics - 100% Remote - EMEA

Data Analyst Full-time Freelance EMEA

Job details

Not specified Salary
EMEA Eligibility
Executive Experience
Full-time Employment

About this role

Role overview First product analytics leader for a profitable, AI-first SaaS company serving short-term rental operators. Sets the measurement standard end to end, defines how product decisions are evaluated, and builds the function rather than inheriting it, while remaining hands-on with SQL and analysis in a remote role based in EMEA.

Responsibilities - Define what counts as an active, adopting customer and how every analysis is segmented, raising the bar for product measurement across the organization. - Embed measurement early in planning so every product requirements document includes sizing, expected metric impact, and a measurement plan. - Design measurement approaches for products where clean A/B tests are not feasible, and rethink what activity metrics mean in an AI-native product. - Bring numbers to investment decisions and grow metrics fluency so product managers can present and defend their own analyses. - Set technical standards for tracking plans, instrumentation specs, and data quality, and build the function starting with an experienced product analyst. - Stay close to the work by writing SQL, building analyses, and mentoring rather than only managing.

Requirements - 8+ years in product analytics, ideally within B2B SaaS at a scaling stage, with a strong track record of building rather than running the function. - Strong data foundations: designing clean, reliable data models with Data Engineering and setting up consistent event tracking across features and domains; SQLMesh experience is a plus. - Demonstrated ability to influence without authority, including successfully challenging a senior leader on a number with evidence that was still in use months later. - Experience moving an organization from gut feel to data-led decisions and helping product managers find what fits a company of a given size. - Comfort designing fair comparisons in complex B2B products and being explicit about what a number does and does not prove. - Heavy use of AI tools in own work and an understanding of where they help and where they mislead.

Nice to have - Measuring AI features, automated workflows, or API usage. - Product-led growth, churn modeling, or platform businesses with multiple user types.

Benefits and work setup - Fully remote within the EMEA region, with international team culture spanning more than 40 countries. - Country-specific benefits such as health insurance and pensions where customary, with the specifics dependent on the applicant's country.

Skills detected in the listing

SQLData Engineering
Detected Oct 2, 2026
Last verified Oct 2, 2026

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