UX Researcher, Data Analyst & Optimization Specialist

This position is listed on behalf of a partner company, who manages all applications and next steps.

Our partner is looking for a UX Researcher, Data Analyst & Optimization Specialist based in Germany.

This role sits at the intersection of UX research, data analytics, and digital optimization, helping teams make smarter decisions through evidence-based insights.

You will transform user behavior data into actionable recommendations that improve customer experiences and business outcomes.

The position combines quantitative analysis with qualitative research to uncover not only what users do, but why they behave that way.

You will build journey maps, analyze conversion funnels, measure customer value, and support experimentation strategies.

Working closely with UX, design, and development teams, you will help create impactful improvements across digital experiences.

This opportunity is ideal for a data-driven researcher who enjoys solving complex problems and turning insights into measurable results.

Accountabilities

The UX Researcher, Data Analyst & Optimization Specialist is responsible for creating the analytical and research foundation behind optimization initiatives.

This role combines data expertise, user research, experimentation, and cross-functional collaboration to identify opportunities and support impactful digital improvements.

• Build and maintain detailed customer journey maps and conversion funnels across key user touchpoints.
• Analyze user behavior to identify friction points, drop-off areas, and opportunities for improving digital experiences.
• Conduct quantitative analysis using tools such as Google Analytics 4, Shopify analytics, and related data platforms.
• Develop and maintain LTV cohort analyses to connect user experience improvements with long-term customer value.
• Ensure data accuracy, reliability, and integrity when collecting, validating, and interpreting performance insights.
• Apply statistical principles to evaluate findings and ensure recommendations are supported by meaningful data.
• Plan and conduct qualitative research activities, including usability testing, heuristic evaluations, and user interviews.
• Combine qualitative and quantitative insights to create a complete understanding of user behavior.
• Create research artifacts such as user flows, journey maps, wireflows, and prototypes to communicate findings.
• Collaborate with developers to implement event tracking, improve measurement infrastructure, and maintain data visibility.
• Support GA4 funnel creation, custom event tracking, and ongoing tracking quality assurance.
• Contribute to A/B testing programs by defining hypotheses, measuring outcomes, and analyzing business impact.
• Evaluate the long-term effects of UX changes on conversion, retention, and customer value.
• Develop clear reports, dashboards, and presentations that transform complex analysis into actionable recommendations.
• Partner with UX, design, development, and project teams to move insights into implemented improvements.
• Manage multiple projects and deliver research and analysis according to business priorities.

Requirements

The ideal candidate combines strong analytical expertise, UX research capabilities, and communication skills.

They should be comfortable working with large datasets, conducting user research, and collaborating with multidisciplinary teams in a fast-paced environment.

• 4–7 years of experience in e-commerce, UX research, product analytics, data analysis, or similar fields.
• Strong experience with Google Analytics, Shopify ecosystems, and A/B testing platforms.
• Solid understanding of quantitative analysis, statistics, and data visualization techniques.
• Experience with journey mapping, funnel analysis, and LTV cohort analysis.
• Knowledge of experimentation best practices, including hypothesis development and test design.
• Strong understanding of user-centered design principles and design thinking methodologies.
• Ability to combine qualitative and quantitative research methods to solve complex problems.
• Experience creating reports, dashboards, and presentations that communicate insights effectively.
• Ability to create UX artifacts such as wireframes, prototypes, user flows, and wireflows.
• Experience collaborating with developers, designers, and project management teams.
• Strong problem-solving skills with a structured and analytical approach.
• Excellent written and verbal communication skills.
• Ability to work independently while following strategic direction and managing multiple priorities.
• Experience working with multiple clients or projects in a fast-paced environment is preferred.

Benefits

• Remote-first work environment with flexibility.
• Comprehensive medical, dental, vision, disability, and life insurance coverage.
• Employer contributions to retirement savings plans.
• Employee assistance program.
• Generous paid time off starting at 20 days annually, plus holidays.
• Annual winter company shutdown between Christmas and New Year’s for additional time to recharge.
• Paid parental leave.
• Company events, team activities, and retreats.
• Budget for professional development and continuing education.
• Competitive compensation aligned with experience, skills, and location.

How Jobgether works

We use an

AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.

Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR).

You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.

These tools assist our recruitment team but do not replace human judgment.

Final hiring decisions are ultimately made by humans.

If you would like more information about how your data is processed, please contact us.