Retail Analyst

Posted by Claire's 03/07/2020


Purpose of Role
In the role of Concessions Retail Analyst, you will sit at the heart of the concessions team providing insight on sales and trends which will help inform how we manage and grow our partnerships.

The Retail Analyst will support the direction of growth by providing insight and interpretation of partner data, which will enable Claire's to react to the changing needs of our global retail partners' consumers.

Main Responsibilities

This is a role which will work as a central point of contact between the Concessions Team and other functions - including Finance, IT, Allocations and Buying & Merchandising; ultimately providing the Concessions Team with the best insight into the performance of the their business

You will support finance to evolve concession reporting that drives the weekly operational needs as well as the Executive views that allow for an understanding of the health of the business overall

Your insight and interpretation of partner data will help decision making and ability to curate our assortments across the partners' velocity groups/store clusters. This will include promotional analysis and recommendations

You will develop a process that allows you to present weekly to the Concessions Team the headlines on sales, trends, partner behavior and recommendations on what we should be doing more of and less of

You will be responsible for the management and execution of ad hoc reporting and requests - some of this will be in support of new partner pitch meetings and quarterly business reviews with existing partners

You will work with the team to provide insights on future site selection and lead on the creation of new store proformas and projections. We will encourage you to present strategies for continuing to grow our business year on year.

Essential Criteria

Bachelor's Degree or strong full-time retail, corporate retail experience

Strong experience in retail account category management or analytics

Intermediate Excel Skills (e.g. arrays, statistical functions, etc…)

Significant experience of full-time data science and/or analytics experience

Store Clustering and Product Assortment Experience

Worked on Large Retail Accounts

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