Jobs · Business Development · Michigan

Advanced Analyst II

Meijer · Grand Rapids, MI · 1 wk ago
Business DevelopmentFull-time

About the role

The Advanced Analyst II role directly supports data-driven actions taken across the business to have a positive impact on sales, margin, and profit performance, as well as enriching the lives of the communities we serve.

Responsibilities

  • Provide analytical support for Merchandising teams, identifying and executing against analytics-based business opportunities.
  • Develop and apply advanced quantitative methods, data mining, modeling, and analytical tools to solve complex business problems across Merchandising.
  • Partner and consult on report and tool solution designs that apply best in class analytics.
  • Effectively communicate complex business analysis and provide recommendations for improvements.
  • Keep customer at the center of analytic approach, analysis and solutions and partner with cross functional teams to drive customer centered focus at Meijer.
  • Develop 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.

Requirements

  • Bachelor’s degree in Business, Statistics, Economics, or other quantitative field or Relevant Experience.
  • Master’s degree preferred.
  • 2-5 years business experience in marketing analysis or analytics consulting leadership.
  • Experience in an Advanced Analytics environment working with customer analytic systems in both SAS & Teradata (preferably at a large retailer).
  • Experience with Power BI and DAX for building dynamic, interactive dashboards.
  • Experience working in a cross-functional teams focused on: Business/Financial Analysis, Promotional Analytics, Customer Analytics, Pricing, Merchandising, Media Analytics, etc.
  • Experience developing analytic techniques such as: forecasting, predictive modeling, segmentation analysis, simulation modeling, data mining.
  • Experience in customer-facing industry (traditional or online retailing, retail financial services, etc.).
  • Multi-channel experience preferred – familiar with both in-store/branch and online analytics.
  • Advanced and hands on experience using one or more of: SQL programming; SAS Base programming, SAS Macro programming, SAS Advanced programming, SAS Enterprise Miner; SAS Visual Analytics; Hadoop programming; SAS in-database and in-memory programming; MicroStrategy.
  • Strong work ethic.
  • Excellent communication skills: listening, verbal and written.
  • Experience developing communications and presenting to leadership.
  • Strong organizational, planning, and time management skills with ability to prioritize multiple/competing projects and assignments.

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