Sr. Analyst, Digital Analytics
Role Overview
The Senior Analyst, Digital Analytics analyzes customer behavior across digital platforms and translates data into insights to improve customer experience, conversion, engagement, and business performance.
The role supports Digital Product, Marketing, UX, eCommerce, and Technology teams through measurement, journey analysis, experimentation, and reporting.
Key Skills for This Role
Full Job Posting
Role overview
The Senior Analyst, Digital Analytics analyzes customer behavior across digital platforms and translates data into insights to improve customer experience, conversion, engagement, and business performance.
The role supports Digital Product, Marketing, UX, eCommerce, and Technology teams through measurement, journey analysis, experimentation, and reporting.
Digital analytics and reporting
- Analyze websites, mobile apps, self-serve experiences, and digital buyflows using analytics platforms.
- Conduct funnel, pathing, segmentation, cohort, and journey analyses; monitor traffic, engagement, conversion, revenue, retention, journey completion, and customer satisfaction.
- Develop dashboards, scorecards, and recurring reports; provide performance commentary and improve reporting automation.
- Validate metrics, reconcile data across sources, size opportunities, and measure the impact of releases, campaigns, and experience changes.
Experimentation and collaboration
- Support A/B testing by defining success metrics, validating test design, analyzing results, and communicating recommendations.
- Partner with Product, UX, Marketing, eCommerce, Digital Operations, Technology, and other teams on objectives and measurement needs.
- Present findings through clear visualizations and actionable recommendations; contribute to business cases, prioritization, and performance reviews.
- Manage multiple analyses and reporting deliverables while communicating timelines, risks, and dependencies.
Data quality and improvement
- Validate digital tracking, investigate anomalies and reporting discrepancies, and support tagging and measurement requirements.
- Work with developers and analytics implementation partners to create accurate, testable measurement solutions.
- Document metric definitions, tracking logic, and analytical methods; stay current on analytics practices, tools, measurement approaches, and customer experience trends.
- Explore AI-assisted analysis and predictive methods where they can improve analytical work.
Candidate profile
- The candidate should be analytical, curious, and comfortable working with multiple data sources.
- The candidate should be able to structure analysis from business questions, communicate a clear story, and recommend practical actions.
- Analytics and reporting tools named include Adobe Analytics, Google Analytics, Quantum Metric, Dynatrace, Firebase, Power BI, Tableau, Looker, and Adobe Analytics Workspace, or similar tools.
- Adobe Launch, Google Tag Manager, or similar platforms are referenced for tagging and measurement.
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