Digital Experience Analyst

Durtaion: 3 - month contract with a possibility of extension or perm

Work model: Part-time (28–30 hours per week / approximately 4 days per week or five shorter working days)

Client: A global technology company specializing in intelligent data infrastructure, cloud services, and enterprise storage solutions that help organizations manage, protect, and optimize their data.

Overview

Our client is looking for a part-time Digital Experience Analyst (contract) to support their UX and product teams with data-driven insights. The role focuses on leveraging digital analytics (FullStory), survey data, and behavioral insights to influence product decisions and enhance end-to-end user experiences.

Responsibilities

• Generate impact and value through storytelling with data by identifying actionable insights that influence product and design decisions
• Leverage digital analytics tools (FullStory) to analyze user behavior, identify friction points, and uncover opportunities across key product journeys
• Define and operationalize metrics, funnels, and segments to measure digital experience performance
• Partner with UX researchers, designers, and product managers to integrate behavioral analytics into broader research and product workflows
• Translate complex data into clear, compelling narratives tailored to stakeholders at different levels
• Support adoption and enablement of analytics tools by contributing to documentation, best practices, and lightweight training
• Leverage AI-powered tools and advanced techniques (e.g., text analytics, automation) to accelerate insight generation and scale research workflows
• Ensure responsible use of data, including privacy considerations and governance practices
• Translate insights into clear, prioritized recommendations and influence stakeholders at multiple levels, including senior leadership

Education & Experience

• Bachelor’s degree in a relevant field (HCI, Psychology, Data Science, Engineering, or related discipline), or equivalent experience
• 7 – 10 years of experience in digital experience analytics, preferably in enterprise or B2B software environments
• Experience working in cross-functional product teams supporting UX, design, or product management

Core Skills & Experience

• Strong experience with digital analytics platforms (Adobe, Google Analytics, Glassbox), FullStory experience preferred
• 3+ years of hands-on experience analyzing user behavior through session replay, funnels, and journey analysis tools
• Demonstrated ability to identify insights from behavioral and quantitative data and connect them to product decisions
• Experience building or working with funnels, segmentation models, and experience metrics

Technical & Analytical Skills

• Hands-on experience using AI-powered tools (required) for research workflows (e.g., AI-assisted data analysis, transcription, synthesis, process optimization)
• Proficiency with data analysis tools (SQL, Python, Pandas, R, or similar)
• Strong experience with data visualization tools (Power BI, Tableau, QlikSense, or similar)
• Excellent written and verbal English communication skills, with the ability to clearly articulate research findings to stakeholders
• Exceptional ability to tell compelling stories with data and influence stakeholders
• Comfortable working in a fast-paced, collaborative environment with designers, product managers, and engineers
• Strong written and verbal communication skills

Ways of Working

• Operates with a high degree of autonomy and ownership, driving ambiguous problem spaces to clarity
• You’re self-sufficient and skilled at working on multiple concurrent projects while bringing together insights from them into actionable recommendations
• Balances hands-on execution with strategic thinking
• Proactively identifies opportunities to improve tools, processes, and impact

Preferred Qualifications

• Degree in HCI, Cognitive Science, or related discipline.
• Experience using FullStory for deep journey analysis and experience optimization
• Experience combining quantitative analytics with UX research methods
• Familiarity with UX metrics (e.g., task success, drop-off rates, NPS, SUS)
• Experience in the data infrastructure industry
• Experience using AI-powered tools for analytics, insight generation, or workflow automation
• Ability to create executive-ready presentations