Digital Analytics Lead

The role is responsible for leading digital performance analytics for flyadeal’s web and app platforms, turning data into actionable insights to optimize customer journeys, engagement, and revenue, while managing e-commerce tracking, funnel analysis, reporting, and cross-functional data-driven decision-making

Key Responsibilities

• Own and maintain end-to-end e-commerce performance analytics across web and mobile app.
• Analyze digital funnels and customer journeys to identify drop-offs, friction points, and revenue opportunities.
• Track and report on key metrics such as conversion rate, revenue per visitor, etc.
• Use tools such as GA4, content square, and app analytics platforms to understand user behavior and digital performance.
• Define and validate tracking requirements, event taxonomy, and data layer structures in collaboration with Product and IT teams.
• Manage and support tagging implementation through Google Tag Manager (GTM) and ensure tracking accuracy across digital platforms.
• Develop dashboards and performance reports using Power BI, Looker Studio, Tableau, or similar tools for stakeholders across the business.
• Translate analytical insights into clear recommendations to support product, UX, marketing, and commercial decisions.

Requirements

• Bachelor’s degree in computer science, Data Science, Information Systems / IT, Business Analytics or a related field
• Minimum 5+ years of experience in digital analytics, product analytics, or e-commerce performance analytics.
• Advanced expertise in GA4 and digital analytics platforms.
• Knowledge of digital tracking implementations and data layer design.
• Strong understanding of event-based tracking models and data layer architecture
• Managing and validating tracking through Google Tag Manager (GTM)
• Knowledge of JavaScript fundamentals for tracking validation and troubleshooting
• Behavior analytics tools (Contentsquare, Hotjar, FullStory, etc.)
• Data visualization tools (Power BI, Tableau, Looker Studio) and strong SQL skills for querying large datasets.
• Understanding of mobile app analytics tracking frameworks
• Knowledge of data quality validation, tracking audits, and governance
• Strong analytical and problem-solving mindset.
• Commercial awareness and results-oriented thinking.