Our Client is seeking a Senior eCommerce Analyst .
Responsibilities:
- Develop, maintain, and enhance comprehensive reports and dashboards within Adobe Analytics, delivering clear insights on website performance, user engagement, conversion metrics, and visitor behavior
- Analyze website user behavior, purchase patterns, and conversion funnels to uncover trends, gaps, and friction points, identifying opportunities for refinement(s); Comfortable working within Web Analytics and Database systems
- Effectively communicate and share performance updates in weekly check-ins and/or other meeting venues
- Investigate differences in user experiences across A/B test experiences, segments, and touchpoints, flagging issues or opportunities that require further investigation
- Identify and analyze points of user friction or drop-off in the customer journey, peeling back layers of data to explore deeper trends, isolate root causes, and uncover opportunities for optimization and growth
- Respond promptly to ad hoc requests for data and insights, providing accurate, relevant information to support strategic and operational decisions
- Partner with BI, product, and broader eCommerce teams to translate insights into actionable initiatives and ongoing improvements
- Stay current with industry best practices, emerging analytics techniques, and Adobe Analytics features to continually refine reporting and analysis capabilities
- Perform other related duties as assigned to support organizational goals
Requirements
- Bachelor’s degree in a related discipline and/or equivalent, directly related experience required
- 5-7 years of experience in web analytics, with experience with Adobe Analytics (preferred) or Google Analytics
- Advanced experience working with databases and BI systems (e.g., Oracle SQL, Databricks)
- Proven experience in developing detailed reports, dashboards, and performing in-depth data analysis
- Strong understanding of Web Analytics KPIs, web optimization and product concepts and performance
- Knowledge of business and drivers of profitability, and how those relate to digital analytics
- Ability to manage time effectively and consistently meet deadlines in a fast-paced, cross functional environment
- Analytical: Using logic and reasoning to identify the strengths and opportunities of alternative solutions and conclusions; Outstanding attention to detail
- Complex Problem Solving: Identifying complex problems and reviewing related information to develop and implement solutions
- Presentation: Using computer skills and communication style to create, edit and communicate slide presentations; Understanding end-state and the best way to present a story in a logical and analytical fashion to achieve desired results
- Active Listening: Giving full attention to what other people are communicating and taking time to understand points being made
- Proficient in data visualization tools (e.g., Tableau, Power BI) is a plus
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