Shared Technology Product Analyst

TL;DR

Shared Technology Product Analyst (Product Analytics): Lead product analytics for one or more fast-growing products by turning behavioural and transactional data into insights that evaluate changes, improve user experience, and inform product strategy with an accent on measurement design, experimentation, and stakeholder-ready data storytelling. Focus on building success metrics and OKRs, validating AI-assisted analytical workflows, and improving product data capture quality to drive customer and business outcomes.

Location: Amsterdam

Salary: €40,400 - €67,400 (NLD Amsterdam, Radarweg)

Company

hirify.global helps researchers and healthcare professionals advance science and improve health outcomes through customer-centric products and data-driven solutions.

What you will do

• Measure user journeys and outcomes using behavioural and transactional data (adoption, engagement, retention, conversion, satisfaction).
• Define product success by translating customer needs, product strategy, and business objectives into OKRs and success metrics.
• Evaluate product changes by designing measurement approaches for launches and iterations, including A/B testing and experimentation.
• Use AI-assisted practices to accelerate analytical workflows (SQL/Python development, exploratory analysis, visualization, and documentation) while validating results with human judgement.
• Communicate insights through concise analysis, presentations, and dashboards to product squads and senior leadership.
• Improve measurement quality by defining tracking requirements and partnering with Product and Engineering to ensure correct product data capture.

Requirements

• 3–5+ years of hands-on experience in Product Analytics, Digital Analytics, or a closely related analytical role influencing product decisions and customer experience.
• Advanced SQL and Python/R for deep-dive analysis, statistical work, and visualization.
• Strong stakeholder influence: ability to work with Product Managers, UX Designers, Engineers, and senior stakeholders to advocate for data-driven decisions.
• Fluent English and strong presentation skills; comfortable collaborating across cross-functional, culturally diverse teams and time zones.
• Experience with AI tools (e.g., ChatGPT/Codex, Microsoft Copilot, Claude Code) to accelerate analysis without replacing analytical reasoning.
• Familiarity with Adobe Analytics and/or analytics platforms such as Snowflake, Tableau, or Databricks is required or strongly expected.

Culture & Benefits

• Healthy work/life balance with flexible working hours.
• Wellbeing initiatives, shared parental leave, study assistance, and sabbaticals.
• Cross-location collaboration with analysts in Amsterdam and London and stakeholders across the US, UK, and the Netherlands.

Hiring process

• Interviews to assess product analytics experience, technical proficiency, and communication/presentation skills.
• Evaluation of fit for cross-functional collaboration and data-driven decision-making.