UX Analytics Lead: Turn Data into User-Driven Product Wins

Capgemini; Wrocław; On-site; PLN 180,000 - 240,000; Full time

Job summary

Capgemini in Poland (Wroclaw, Gdansk, Poznan, Wrocław, and other major cities) is seeking an experienced UX Analytics Lead to build and scale a data-informed UX practice across enterprise products. You will transform user behavior data into actionable insights that influence product design, user experience, and business outcomes.

You will lead the analytics effort, establish metrics, support experimentation, and mentor designers and researchers to use data effectively in their workflows.

Qualifications

• 5+ years in product analytics or quantitative UX research.
• Experience partnering with UX/design and product teams.
• Ability to translate data into actionable product decisions.
• Experience with analytics tools (Amplitude, Mixpanel, GA).
• Experience with A/B testing and experimentation.
• SQL, Python or similar for data querying.

Responsibilities

• Analyze user behavior to identify friction points and opportunities for UX improvement.
• Translate data into clear, actionable insights for product managers and designers.
• Combine quantitative and qualitative insights to explain what and why.
• Define and evolve UX metrics such as task success and engagement.
• Structure user journeys and funnels across key enterprise apps.
• Design and support experiments including A/B testing.
• Build scalable UX analytics practices with dashboards and best practices.
• Mentor designers and researchers in using data in their workflows.

Skills

Analytics

UX research

Product analytics

SQL

Python

A/B testing

Data storytelling

Tools

Amplitude

Mixpanel

Google Analytics

Job description

Capgemini in Poland (Wroclaw, Gdansk, Poznan, Wrocław, and other major cities) is seeking an experienced UX Analytics Lead to build and scale a data-informed UX practice across enterprise products. You will transform user behavior data into actionable insights that influence product design, user experience, and business outcomes.

You will lead the analytics effort, establish metrics, support experimentation, and mentor designers and researchers to use data effectively in their workflows.