This position is an experienced role within Meijer’s Data Science & Analytics department. The Data Science & Analytics teams bring together a highly technical skillset, rooted in statistics and machine learning, with strong communication and collaboration capabilities to serve and partner with business areas across the enterprise. The Analyst role contributes to these efforts by developing and applying advanced analytic & machine learning solutions, proactively collaborating with and anticipating business needs. This 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 in the communities we serve. Duties and Responsibilities (Key Deliverables): Deliver against the overall strategy to enrich the lives in the communities we serve by deliveringdata-drivensolutionsacross merchandising, marketing, supply chain, product flow, operations, real estate, and other areas of the business. Leadership &BusinessPartnership Partnerwithbusiness stakeholderstobuild strong relationshipsandunderstandhowdata-driven insights and recommendations can support, enhance, and improve business outcomes. Anticipate future business needs andidentifyopportunities that make substantial difference fororganization,andlead the development of analytics initiatives. Championtheadoption of advanced analytics capabilities and recommendations across the business. Build andmaintainrelationships with keyindustrypartners(eg:suppliers, vendors,CPGs)andcontinue toenhanceanalyticscapabilities,knowledgeand impact. Stayup-to-dateon news in the retail sector1such asstate-of-the-arttechnological developments or competitive incursionsandutilizethis information to generatepro-activeinsights & recommendations. Technical Skills Contribute subject matterexpertiseand methodological designofholistic, custom insights & recommendations for each area of the business by developing custom algorithms,statistical models, machine learningsolutionsand artificial intelligence. Develop scorecards and partner with reporting teams to improve reporting effectiveness. Leverage disparate data sourcesand various platformsfor holistic understanding to solve complex business problems. Develop actionable recommendations (marketing, real estate, merchandising) Define and analyze Key Performance Indicators tomonitorthe overall health and measure value of the data products Communication Communicate these highly technical concepts and resultsthroughexpertdata-drivenstory-tellingvia in-person presentations, virtual presentations, email communications, and dashboards & reporting. Drive adoption and usage of analyticalinsights, dataproducts,models, and recommendations. Customer-Centered: Keepcustomerat the center of analytic approach, analysis and solutions and partner with cross functional teams to drive customer centered focus at Meijer. This jobdescriptionis not meant to be all inclusive of the responsibilities of this position; may perform other duties as assigned orrequired Job Requirements Education Bachelor’s degree in Business, Statistics,Economicsorother quantitative field or Relevant Experience. Master’s Degree Preferred Experience 2+ years of relevant analytics experience in an applied role1preferably within retail,logistics, supply chain, or CPG. Nice to have certifications: Safe Agile, Azure, Databricks, Python Function/Technical Knowledge, Skills, & Abilities Required Demonstrated strengthsusing several of the following: Python, Databricks, Azure ML, Azure Cognitive Service, SAS, R, SQL,PySpark,Numpy, Pandas, Scikit Learn, TensorFlow,PyTorch,AutoTS, Prophet, NLTK,PowerBI, Teradata, Geospatial Platforms (eg: Placer, ESRI) Experience with Azure Cloud technologies including Azure DevOps, Azure Synapse,MLOps, GitHub Experience developing enterprise reporting, dashboards, and semantic models using Microsoft Fabric, Power BI, DAX, and Tabular Editor Experience working with large datasets from disparate sources and developing statistical models and/or ML/AI systemssuch as:natural language processing, speech/text/image recognition, supervised and unsupervised learning models, spatial modeling, forecasting and/or econometric time series models. Experience working ina cross-functional teamswith preference in: Business/Financial Analysis, Promotional Analytics, Customer Analytics, Pricing, Merchandising, Media Analytics, Corporate Real Estate Analytics,Pharmacy,etc. Multi-channel experience preferred familiar with both in-store/branch and digital analytics. Strong work ethic; Proactive and action oriented. Excellent communication skills: listening,verbalandwritten. Ability to collaborate with, and present to internal and external partners, including leadership Strong organizational, planning, and time management skills withabilityto prioritize multiple/competing projects and assignments. Demonstrates strong curiosity toward problem solving