Analyze user behavior data to identify patterns and opportunities for improvement, and design and execute quantitative analyses to evaluate UX hypotheses
Job Summary
Analyze user behavior data to identify patterns and opportunities for improvement, and design and execute quantitative analyses to evaluate UX hypotheses.
Integrate, transform, and analyze data from multiple sources using tools like SQL, Python, or PySpark, as well as AI, to build a consistent vision of user behavior and enable actionable insights.
Develop deliverables with storytelling that connect user and business findings, leveraging analytical and AI tools to influence decision-making and promote an evidence-based design culture.
Matching Summary
Analyze user behavior data to identify patterns and opportunities for improvement, and design and execute quantitative analyses to evaluate UX hypotheses.
Skills & Requirements
Must-have
Analyze user behavior data
Design and execute quantitative analysis
Define UX metrics and indicators
Translate design needs to data requirements
Build visualizations and reports
Integrate, transform, and analyze data
Advanced SQL and Python
Nice-to-have
Curiosity for user behavior
Collaborate with multidisciplinary teams
Question existing solutions
Explore new tools and technologies
Design Thinking and Agile Methodologies
Key Requirements
Minimum 3 years of experience
Bachelor's degree in Data Science, Actuarial Science, Applied Mathematics, or related