Capgemini

UX Analytics Lead

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SeniorOn-site·BydgoszczFull-time

#367847·Dodano 4 miesiące temu·3

Źródło: Capgemini

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Tech Stack / Keywords

TestingSQL PythonCloudAISecurity

Firma i stanowisko

The Capgemini Group is a global leader in partnering with companies to transform and manage their businesses. It has nearly 336,000+ people, present in over 50 countries, with a 57 year heritage. The Group delivers end to end services from strategy and design to engineering, powered by capabilities in cloud, data, AI, and digital engineering. Group IT empowers the business through technology that enables efficiency, profitability, and sustainable growth by delivering enterprise wide solutions and integrating all business units into a unified IT services model. Group IT is driving transformative rollouts and initiatives to enhance security, streamline operations, and elevate digital experiences for Capgemini employees globally.

Wymagania

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

Obowiązki

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

Capgemini

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