Advanced Analyst II - Data Science & Analytics

About the role

Meijer is hiring an Advanced Analyst II for its Data Science & Analytics department in Grand Rapids. The team combines a technical skillset rooted in statistics and machine learning with strong communication and collaboration to partner with business areas across the enterprise. The analyst develops and applies advanced analytics and machine learning solutions, supporting data-driven decisions that affect sales, margin and profit.

Key responsibilities

• Partner with business stakeholders to understand how data-driven insights can improve business outcomes and anticipate future needs.
• Lead the development of analytics initiatives and champion the adoption of advanced analytics across the business.
• Build relationships with industry partners such as suppliers, vendors and CPGs and stay up to date on retail trends.
• Develop custom algorithms, statistical models, machine learning solutions and AI, and build scorecards with reporting teams.
• Analyze KPIs to monitor the health and value of data products, and communicate results through presentations, email and dashboards.
• Keep customers at the centre of analyses and work with cross-functional teams.

Required profile

• Bachelor's degree in Business, Statistics, Economics or another quantitative field; Master's degree preferred.
• 2+ years of applied analytics experience, preferably in retail, logistics, supply chain or CPG.
• Experience with large datasets and statistical or ML/AI systems (e.g. NLP, forecasting, time series).
• Experience in cross-functional teams such as pricing, merchandising, customer analytics or corporate real estate; multi-channel (in-store and digital) experience preferred.

Required skills

• Nice to have: Safe Agile, Azure, Databricks, Python.
• Preferred: Python, Databricks, Azure ML, Azure Cognitive Services, SAS, R, SQL, PySpark, NumPy, Pandas, Scikit Learn, TensorFlow, PyTorch, AutoTS, Prophet, NLTK, Power BI, Teradata, geospatial platforms.
• Azure cloud technologies including Azure DevOps, Azure Synapse, MLOps and GitHub.
• Enterprise reporting, dashboards and semantic models with Microsoft Fabric, Power BI, DAX and Tabular Editor.

What we offer

• Weekly pay and scheduling flexibility.
• Paid parental leave and paid education assistance.
• Team member discount and development programs for career growth.