Global Insights Analyst
Role Overview
This is an early-career, client-facing insights role focused on eCommerce.
The analyst uses established data and reporting solutions to turn eCommerce performance into clear stories and practical recommendations.
The role is focused on client insights, not data science, data engineering, or software development.
Advanced coding and statistical-modeling experience are not required.
Key Skills for This Role
Full Job Posting
Location and work arrangement
- The role is hybrid, with three days per week in the Winnersh Triangle office.
Role overview
This is an early-career, client-facing insights role focused on eCommerce.
The analyst uses established data and reporting solutions to turn eCommerce performance into clear stories and practical recommendations.
The role is focused on client insights, not data science, data engineering, or software development.
Advanced coding and statistical-modeling experience are not required.
What you'll do
- Interpret eCommerce data and identify findings relevant to client categories, brands, and commercial objectives.
- Create presentations and progressively present findings, opportunities, and recommendations to clients.
- Contribute to client meetings and respond to questions with support from experienced colleagues.
- Help deliver interactive workshops and training sessions.
- Develop actionable recommendations explaining issues, opportunities, and possible next steps.
- Build knowledge of client businesses, objectives, and challenges to support relationships.
- Collaborate with Customer Success, Insights, and technical colleagues to validate findings and deliver accurate work.
- Manage assigned analysis and presentation tasks, communicate progress, and raise risks early.
- Use approved AI tools to explore patterns and develop client-ready narratives, validating outputs for accuracy and appropriate use.
What we're looking for
- Strong analytical foundations and curiosity about data, patterns, and possible explanations.
- Experience presenting to clients, colleagues, senior stakeholders, or academic audiences; motivation to develop client-facing confidence.
- Ability to structure presentations around a clear message and adapt evidence for different audiences.
- Ability to turn numbers into concise commercial narratives and practical recommendations.
- Clear verbal and written communication, including explaining complex subjects simply.
- Ability to listen, ask thoughtful questions, and build credibility through relevant recommendations.
- Ability to organize workloads, meet deadlines, maintain quality, and manage multiple tasks.
- Careful checking and understanding of the importance of reliable data and precise client communication.
- Curiosity about approved AI tools and the importance of validating their outputs with human judgment.
Experience
The supplied description ends mid-sentence in the experience section, so any additional experience details are unavailable.
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