Meijer Analyst, Customer Analytics - I in Grand Rapids, Michigan

Currently, Meijer is looking for a Merchandising Analytics I Analyst. The Analyst – I position is an entry level role on the Merchandising Center of Excellence Analytics team. This role is responsible for applying analytics which will have a positive impact on sales, margin and profit performance of specific Merchandise areas.

Key Deliverables:

  • Responsible for delivering impact to the organization's performance by: providing analytical support for Merchandising teams, executing against analytics-based business opportunities, through the application of analytic approaches & reports that improve the efficiency of the Merchandising organization.

  • Applying quantitative methods, data mining, modeling, and analytical tools to solve business problems across Merchandising.

  • Partner and Consult on report and tool solution designs that apply best in class analytics.

  • Effectively communicate business analysis and provide recommendations for improvements

  • Keeps customer at the center of analytic approach, analysis and solutions and partner with cross functional teams to drive customer centricity at Meijer

  • Execute and update scorecards and partner with reporting teams to improve reporting effectiveness

  • Collaborate and Build strong business relationships with Customer Marketing, Merchandising and Marketing teams to develop winning customer marketing solutions

  • Leverage disparate data sources for holistic understanding to solve complex business problems

This job profile is not meant to be all inclusive of the responsibilities of this position; may perform other duties as assigned or required


  • Bachelor's degree in Business, Math, Statistics, Economics, or other quantitative field. Master's degree preferred.

  • 1-2 years business experience in an analytics field or related professional environment. Retail or Consumer facing industry preferred.

  • Working knowledge of SQL, SAS, Microstrategy or other programming language

  • Experience with applications used for analytical, quantitative, and to apply statistical techniques and tools to derive insights from large, complex data environments solving complex and ambiguous business problems in a timely manner

  • Working knowledge of the application of advanced analytics to drive sales and profit: data analysis, segmentation, clustering, simulation modeling, hypothesis testing, regression modeling, forecasting, predictive modeling, factor analysis

  • Active curiosity—Must enjoy gathering and digging deeply into data to identify opportunities and risks

  • Strong work ethic complemented by a positive, can-do attitude

  • Team player: implement existing processes, collaborate with senior team members and contribute to the team's success. Ability to influence without authority in a cross functional team setup

  • Excellent communication skills: listening, verbal and written

  • Ability to develop communications and presenting to cross functional partners

  • Strong organizational, planning, and time management skills with ability to prioritize multiple/competing projects and assignments