Promotional Panning Consultant / Analyst

Position Title: Promotional Panning Consultant / Analyst
Duration: 12 Months with possibility of extension
Location: Woonsocket, RI 02895
Shift Hours: Monday- Friday 8-4:30 or 8:30-5:00
Hybrid on site model, new hire will be expected to be on site in the office 2 to 3 days a week.
NOTE:
Candidates need to have strong data experience to be able to tell a story with numbers, and be an EXCEL EXPERT
Please have candidates complete an Excel evaluation to confirm their skills.
Retail and vendor experience is a plus.
Candidates need to be independent workers that can handle multiple projects.
Minimum 1 year experience working with large data sets.
Description:
You will be a creative, out-of-the-box thinker who is intellectually curious with a demonstrated interest in learning. You are a self-motivated, entrepreneurial, high-energy individual who can easily function in a high demand, performance-driven environment. You should be accustomed to working on multiple tasks in parallel and demonstrate cross functional engagement, best demonstrated by your ability to gain credibility with team members and senior management.
This specific role would have end-to-end responsibility for key workstream(s) Analytics team with projects to analysing and optimizing company SKU productivity.
In this role, you will have the opportunity to demonstrate the following:
Analytical rigor capability to analyze large data and produce error free reporting.
Excel knowledge ability to develop reporting for all levels of the organization utilizing reports and capability to develop data models.
Impacting and influencing others - how to get buy in from Category Managers for the metrics being supplied.
Process improvement, driving results - Facilitate training/engaging Category Managers with PA tool.
Working collaboratively cross functionally.
Innovation
Qualification:
Retail and vendor experience is a plus.
Bachelors degree.
Candidates need to be independent workers that can handle multiple projects.
Minimum 1 year experience working with large data sets.