Manager, UX/UI Analytics

• Design and maintain event tracking frameworks (Object-Action framework) in CleverTap across key digital journeys.
• Partner with Engineering teams to define tracking specifications and validate tracking implementation before product releases.
• Conduct regular event data quality audits and resolve tracking issues to ensure data accuracy.
• Build and maintain funnels, cohorts, retention analyses, and behavioral reports to identify user drop-off points and friction areas.
• Reconcile behavioral analytics data from CleverTap with transactional MIS reports to establish a reliable source of truth.
• Develop and maintain UX performance dashboards covering conversion, adoption, retention, task success, and customer journey metrics.
• Deliver regular UX analytics reports with actionable insights and recommendations for business and design stakeholders.
• Translate quantitative findings into design and product improvement recommendations.
• Present analytics findings and recommendations to Product Owners, UX/UI teams, and senior management
• Support data-driven decision making by providing behavioral evidence for product and UX enhancements.
• Collaborate with Product, Engineering, MIS, Marketing, and CRM teams to improve customer experience and product performance.

JOB REQUIREMENTS

• Bachelor's Degree in Data Analytics, Statistics, Information Systems, Computer Science, UX Research, Digital Product Management, or related fields.
• 3-5 years of experience in Product Analytics, UX Analytics, Digital Analytics, or Data Analysis.
• Experience in banking, fintech, or consumer mobile application environments is preferred.
• Hands-on experience with CleverTap, Firebase, or similar analytics platforms.
• Experience building analytical dashboards using Tableau or similar BI tools.
• Experience working with large datasets and reporting systems; SQL, Python, or R is an advantage
• Product and digital analytics concepts include events, funnels, cohorts, retention, and segmentation.
• Mobile application analytics and campaign measurement.
• Advanced Excel and data analysis techniques.
• Tableau or equivalent business intelligence tools.
• UX principles, usability heuristics, and customer journey analysis.
• A/B testing methodologies and statistical significance analysis.
• Strong reporting and presentation skills.