About this role
Job title: UX Analytics Lead
About the Role Capgemini is seeking a UX Analytics Lead within Group IT to build a data-informed UX practice, transforming user behavior data into actionable insights that influence product design, user experience, and measurable business outcomes. This role sits at the intersection of UX, product, and data, enabling teams to move from intuition-driven to evidence-based decision making and scale analytics across a portfolio of enterprise products. You will shape how user experience is measured, understood, and continuously improved at scale.
What You'll Do
- Analyze user behavior to identify friction points, usage patterns, and opportunities for UX improvement
- Translate complex data into clear, actionable insights for product managers, designers, and stakeholders
- Combine quantitative and qualitative insights to explain not only what is happening, but also why
- Define, standardize, and evolve UX metrics such as task success, drop off rates, engagement, and efficiency
- Structure and analyze user journeys and funnels across key enterprise applications
- Establish success criteria and measurement frameworks for features and product releases
- Design and support experimentation, including A/B testing and feature validation
- Build scalable UX analytics practices, including frameworks, dashboards, and best practices
- Mentor designers and researchers in using data effectively within their workflows
What We're Looking For
- 5+ years of experience in product analytics, quantitative UX research, or a related field
- Proven experience partnering closely with UX/design and product teams in product led environments
- Strong track record of translating data into actionable product or design decisions
- Hands on experience with analytics tools such as Amplitude, Mixpanel, Google Analytics, or similar
- Strong analytical mindset with the ability to structure ambiguous problems and define meaningful metrics
- Experience with experimentation approaches such as A/B testing
- Working knowledge of SQL, Python, or similar tools for data querying and analysis
- Experience working within complex or enterprise environments