UX Researcher, Data Analyst & Optimization Specialist

Overview

This role, based in Germany, merges the disciplines of UX research, data analytics, and digital optimization. The specialist will convert user behavior data into strategic advice to enhance customer experiences and business results. Combining qualitative and quantitative research, the candidate uncovers not only user actions but the motivations behind them. Working alongside UX, design, and development teams, the role drives impactful digital improvements.

Key Responsibilities

• Develop and update comprehensive customer journey maps and conversion funnels across significant user touchpoints.
• Examine user behavior to detect friction, drop-off points, and opportunities to enhance digital experience.
• Perform quantitative analyses utilizing platforms like Google Analytics 4 and Shopify analytics.
• Create and sustain lifetime value (LTV) cohort analyses to connect UX improvements with long-term customer value.
• Ensure integrity, accuracy, and reliability of data collected for performance insights.
• Use statistical methods to assess findings and validate recommendations based on solid data.
• Plan and execute qualitative studies such as usability tests, heuristic assessments, and user interviews.
• Integrate qualitative and quantitative insights to form a complete picture of user behavior.
• Produce research deliverables including user flows, journey maps, wireflows, and prototypes to communicate results.
• Partner with developers on event tracking, boost measurement infrastructure, and maintain data tracking quality.
• Support Google Analytics funnel building, custom event tracking, and quality assurance processes.
• Contribute to A/B testing by formulating hypotheses, analyzing outcomes, and gauging business impact.
• Assess the long-term influence of UX adjustments on conversion, retention, and customer value.
• Create clear reports, dashboards, and presentations translating complex data into actionable steps.
• Collaborate with UX, design, development, and project teams to ensure insights result in tangible enhancements.
• Manage multiple research and analysis projects aligned with business priorities.

Required Qualifications

• Between four and seven years’ relevant experience in e-commerce, UX research, product analytics, or data analysis roles.
• Proficiency in Google Analytics, Shopify systems, and platforms for A/B testing.
• Strong grasp of quantitative analysis, statistical interpretation, and data visualization tools.
• Experience with journey mapping, funnel analysis, and lifetime value cohort analysis.
• Understanding of experimental design, hypothesis formulation, and testing methodologies.
• Well-versed in user-centered design principles and design thinking approaches.
• Capability to combine qualitative and quantitative research to resolve complex challenges.
• Skilled in producing reports, dashboards, and presentations to effectively communicate data insights.
• Experienced in crafting UX artifacts such as wireframes, prototypes, user flows, and wireflows.
• Proven track record collaborating with cross-functional teams including developers and project managers.
• Excellent problem-solving skills with a methodical analytical mindset.
• Fluent written and spoken communication abilities.
• Ability to work autonomously within strategic frameworks while handling multiple priorities simultaneously.
• Preferred experience working with diverse clients or multiple projects in a fast-paced environment.

Benefits

• Work remotely with flexibility in schedule.
• Comprehensive health benefits including medical, dental, vision, disability, and life insurance.
• Employer contributions toward retirement savings plans.
• Access to employee assistance programs.
• Generous paid leave starting from 20 days annually, plus public holidays.
• An annual winter break between Christmas and New Year to recharge.
• Paid parental leave provision.
• Participation in company events, team outings, and retreats.
• Allocated budget for professional growth and continuing education.
• Competitive remuneration relative to experience, skills, and location.

Additional Information

This position is offered through a partner company who handles application management and subsequent recruitment steps. The recruitment process employs AI tools to assist but final decisions rest with human hiring managers. Applicants’ personal data is processed conforming to applicable data privacy laws including GDPR. Candidates may request details about data processing upon inquiry.