Description

You will own the analytics strategy and technical implementation for the ecommerce business, bridging behavioral analysis with data engineering to drive scalable insights.

This role is on-site.

Responsibilities

• Conduct advanced behavioral analysis and multi-channel funnel reviews to identify friction points and quantify conversion opportunities.
• Debug data collection issues using browser developer tools and tag management systems, resolving discrepancies without heavy engineering reliance.
• Design and maintain automated reporting frameworks in Adobe Analysis Workspace and BI tools like Tableau or Power BI.
• Partner with Product, UX, and Engineering teams to define measurement strategies for new features and support Conversion Rate Optimization (CRO) initiatives.
• Establish consistent KPI definitions and reporting logic to ensure a single source of truth across the organization.

Required Skills

• 5–8+ years of experience in digital analytics, preferably within an ecommerce or product environment.
• Advanced, hands-on mastery of Adobe Analytics, including Workspace analysis and implementation logic.
• Strong SQL proficiency for querying raw data feeds and performing complex analysis beyond standard reports.
• Experience with Adobe Data Feeds and handling semi-structured data.
• Proficiency in Tableau or Power BI for dashboard creation and data visualization.
• Expertise in debugging analytics via browser network calls, data layers, and Tag Management Systems (e.g., Adobe Launch, Ensighten).
• Ability to operate independently across the data supply chain, from front-end implementation to backend data retrieval.

Preferred Skills

• Experience with Market Analysis and Traffic Analytics to inform strategic business decisions.
• Background in Data Democratization, standardizing methodologies for non-technical stakeholders.

Key Skills

Education

Any Graduate