Retail Insights Analyst

Summary

The Retail Insights Analyst will contribute to client work for the Retail Partner team and our automation efforts.

This individual will partner with Retail Insights Managers to contribute to their work product and client responsibilities. The goal of our team is to deeply understand our clients businesses, then provide them with reporting and analyses that contribute to making them more successful. This individual will create Excel reports, PowerPoint slides, and other data visualizations to accomplish a client's analytics agenda. This role will collaborate closely with the Natural Mid Market Sr. Insights Manager and with multiple Retail Insights Managers to ensure projects are completed accurately and on-time.

This role will also accelerate the automation of standardized reports within the Retail Partners team. This includes report setup, execution, and updating, as needed.

The Retail Insights Analyst must be able to work on multiple projects concurrently and efficiently collaborate to leverage resources within Client organizations. Experience using syndicated data services and exceptional Excel & PowerPoint skills are key to success. This role will report to the Natural Mid Market Sr. Insights Manager.

Job Duties & Responsibilities

• Transfer data and information into standard formats and templates

• Scope, populate, and periodically refresh client deliverables (format including but not limited to Excel, PowerPoint, and web-based applications)

• Conduct quality control processes: diagnosing and troubleshooting to ensure outputs are timely and error-free

• Analyze data to generate insights and findings and share within team

• Contribute to the process that automates standard reporting

Requirements:

Education & Experience

• BS/BA degree

• 2+ years of experience with a Client company, consulting, market research, or syndicated data firm

• Prior experience with Circana, Nielsen, or syndicated data

• Analytical in approach; ability to spot trends, anomalies, and opportunities in datasets

• Advanced capabilities with Excel and PowerPoint

• Highly process driven and detail oriented

• Strong written and verbal communication

The following is strongly preferred:

• Natural industry experience is preferred, but not required