Advanced Analyst II
On-siteGrand Rapids, Michigan, United States
Grand Rapids, Michigan, United StatesOn-siteFull TimeEnterprise
Full TimeEnterprise
Job Summary
Develop and apply advanced analytics and machine learning solutions across merchandising, marketing, supply chain, and operations to drive data-driven decisions that impact sales, margin, and profit. Partner with business stakeholders to anticipate future needs, build custom algorithms and statistical models, and champion the adoption of analytical capabilities across the enterprise. Leverage disparate data sources to define key performance indicators, create actionable recommendations, and communicate complex insights through expert storytelling, dashboards, and presentations.
Required Qualifications
- Bachelor's degree in Business, Statistics, Economics or other quantitative field
- 2+ years of relevant analytics experience in an applied role
- Experience in retail, logistics, supply chain, or CPG
- 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
- Experience 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 – 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
Desired Qualifications
- Master's Degree
- Safe Agile certification
- Azure certification
- Databricks certification
- Python Function/Technical Knowledge certification
- Multi-channel experience preferred – familiar with both in-store/branch and digital analytics
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