Advanced Analyst II

About this role

As a family company, we serve people and communities. When you work at Meijer, you’re provided with career and community opportunities centered around leadership, personal growth and development. Consider joining our family – take care of your career and your community!   Meijer Rewards • Weekly pay

• Scheduling flexibility

• Paid parental leave  

• Paid education assistance

• Team member discount

• Development programs for advancement and career growth

  Please review the job profile below and apply today!

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 delivering   data-driven   solutions   across merchandising, marketing, supply chain, product flow, operations, real estate, and other areas of the business.   

• Leadership &   Business   Partnership  

• Partner   with   business stakeholders   to   build strong relationships   and   understand   how   data-driven insights and recommendations can support, enhance, and improve business outcomes .   

• Anticipate future business needs and   identify   opportunities that make substantial difference for   organization,   and   lead the development of analytics initiatives.  

• Champion   the   adoption of advanced analytics capabilities and recommendations across the business.   

• Build and   maintain   relationships with key   industry   partners   ( eg :   suppliers , vendors,   CPGs)    and   continue to   enhance   analytics   capabilities,   knowledge   and impact .  

• Stay   up-to-date   on news in the retail sector—such as   state-of-the-art   technological developments or competitive incursions—and   utilize   this information to generate   pro-active   insights & recommendations.   

• Technical Skills  

• Contribute subject matter   expertise   and methodological design   of   holistic, custom insights & recommendations for each area of the business by developing custom algorithms,   statistical models, machine learning   solutions   and artificial intelligence .   

• Develop scorecards and partner with reporting teams to improve reporting effectiveness.  

• Leverage disparate data sources   and various platforms   for holistic understanding to solve complex business problems.  

• Develop actionable recommendations (marketing, real estate, merchandising)  

• Define and analyze Key Performance Indicators to   monitor   the overall health and measure value of the data products  

• Communication  

• Communicate these highly technical concepts and results   through   e xpert   data-driven   s tory- t elling   via in-person presentations, virtual presentations, email communications, and dashboards & reporting.  

• Drive adoption and usage of analytical   insights, data   products ,   models , and recommendations.  

• Customer-Centered:   

• Keep   customer   at the center of analytic approach, analysis and solutions and partner with cross functional teams to drive customer centered focus at Meijer.  

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

Job Requirements  

Education  

• Bachelor’s degree in Business , Statistics,   Economics     or   other quantitative field or Relevant Experience. Master’s Degree Preferred   

Experience  

• 2 + years of relevant analytics experience in an applied role—preferably within retail,   logistics , supply chain, or CPG.  

• Nice to have certifications: Safe Agile, Azure, Databricks, Python  

Function/Technical Knowledge, Skills, & Abilities Required  

• Demonstrated strengths   using 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    

• E xperience working with large datasets from disparate sources and developing statistical models and/or ML/AI systems   such as:   natural language processing, speech/text/image recognition, supervised and unsupervised learning models, spatial modeling, forecasting and/or econometric time series models.

• Experience working in   a cross -functional teams   with 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,   verbal   and   written .  

• Ability to collaborate with, and present to internal and external partners, including leadership  

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

• Demonstrates strong curiosity toward problem solving

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