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Head of Product Analytics - 100% Remote - EMEA

Data Analyst Full-time Freelance EMEA and UAE

Job details

Not specified Salary
EMEA and UAE Eligibility
Executive Experience
Full-time Employment

About this role

Role overview

Build and lead product analytics for a growing software business, setting the standards teams use to decide what to build and assess its impact. This is a hands-on leadership role: you will partner with product leaders, shape measurement across the product organization, and work directly with data while developing the function.

Responsibilities - Define consistent product metrics, customer activity and adoption criteria, and analysis standards across features and teams. - Bring sizing, expected outcomes, and measurement plans into product planning and requirements. - Evaluate product changes when controlled experiments are impractical, including work where AI performs tasks previously done by people. - Provide evidence for product investment decisions and help product managers use data in reviews. - Set tracking, instrumentation, and data quality practices in partnership with Data Engineering; build and mentor the analytics function. - Write SQL and produce analyses yourself, while influencing senior stakeholders and maintaining a close partnership with technology leadership.

Requirements - At least 8 years in product analytics; experience in B2B software at a scaling stage is preferred, with other product backgrounds also considered. - Strong SQL and data foundations, including the ability to develop reliable models with Data Engineering and maintain consistent event tracking. - Experience establishing analytics practices and measurement standards, rather than only operating an existing system. - Ability to assess complex product comparisons fairly, explain what evidence does and does not show, and develop business models that withstand financial scrutiny. - Proven influence across seniority levels, including resolving disagreements about metrics through evidence and helping teams make more data-informed decisions. - Practical use of AI tools, with sound judgment about their strengths and limitations.

Nice to have

Experience measuring AI features, automated workflows, or API usage; product-led growth; churn modeling; or platforms serving multiple user groups. Familiarity with SQLMesh is a plus.

Benefits and work setup

The role is fully remote within the EMEA region, with the candidate expected to be based in the region for collaboration. Country-specific benefits, such as health coverage or pension arrangements, depend on location.

Skills detected in the listing

SQLData Engineering
Detected Oct 26, 2026
Last verified Nov 12, 2026

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