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Meijer
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Marketing
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1600006858 Requisition #
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Currently, Meijer is looking for a Marketing Analytics Analyst II. Marketing Analytics Team helps drive customer centric marketing initiatives and their measurement at Meijer through implementing advanced analytic techniques and analyzing customer data. Customer at the center of the decision process helps Meijer to offer more personalized rewards and services that drive customer loyalty and incremental sales. Analyst – II position on the Marketing Analytics team is expected be consultative in their approach, who implement and develop advanced analytic techniques analyzing customer data to identify opportunities & risks and design & measure initiatives (targeted campaigns, etc.) through effectively partnering with cross functional teams (Customer Marketing, Merchandising, and Marketing). This person is an individual contributor driving customer centric initiative in specific business areas. This role also has accountability for positively impacting the profits. 
 
Key Deliverables:
  • The individual is responsible for implementing analytical techniques, tools, and scorecards to drive business results and ensure fact-based analytics are utilized when making promotional, advertising, and strategic customer decisions that increase the overall customer experience
  • Partner and Consult on customer solution designs through understanding customer behaviors and effectively presenting recommendations
  • Innovate and implement advanced analytic techniques to analyze customer data and measure the marketing initiative performance. Effectively communicate the results and provide recommendations for further optimization
  • Keeps customer at the center of analytic approach, analysis and solutions and partner with cross functional teams to drive customer centricity at Meijer
  • Analytic partner in a cross functional team setup representing the team and be a go to person for all analytic needs based on the businesses assigned
  • Collaborate and Build strong business relationships with Customer Marketing, Merchandising and Marketing teams to develop winning customer marketing solutions
  • Apply advanced quantitative methods, data mining, modeling, and analytical tools to solve complex business problems across Marketing
  • Collaborate closely with other key analytics teams (e.g., Finance, Consumer Insights) to maximize impact and return on analytical resources
  • 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

 

Qualifications:

  • Master’s degree in Business, Statistics, Economics, or other quantitative field or Relevant Experience
  • 2-5(II) 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)
  • Demonstrated ability to develop and apply information-driven analytic and quantitative approaches to solving complex and ambiguous business problems in a timely manner and with tangible results
  • Proficient in a wide range and application of analytical, quantitative, and statistical techniques and tools to derive insights from large, complex data environments
  • Working knowledge of building and implementing Customer Segments (Behavioral, RFM, etc.), Customer Lifetime Value, Trip Mission Segmentation, Store Clustering, Customer Migration Studies, Measurement Techniques and other customer analytics techniques that improve customer focus  
  • Advanced and hands on experience using: 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
  • Experience applying advanced analytics to drive sales and profit: data analysis, segmentation, clustering, simulation modeling, hypothesis testing, regression modeling, forecasting, predictive modeling, factor analysis
  • Strong work ethic complemented by a positive, can-do attitude
  • Ability to drive cross-enterprise change and influence individuals at all levels of an organization
  • Share efficiencies and best practices, coach and develop other analysts on the team when necessary
  • 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
  • Strong written, editing, proofreading and oral communication skills; attention to detail with an ability to meet tight timelines while maintaining a positive attitude

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