Asks for

The ad says“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)”
The ad says“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)”
The ad says“Experience with Azure Cloud technologies including Azure DevOps, Azure Synapse, MLOps, GitHub”
The ad says“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)”
The ad says“Experience with Azure Cloud technologies including Azure DevOps, Azure Synapse, MLOps, GitHub”
The ad says“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)”
The ad says“Experience developing enterprise reporting, dashboards, and semantic models using Microsoft Fabric, Power BI, DAX, and Tabular Editor”
The ad says“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.”
The ad says“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.”
The ad says“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)”
The ad says“Experience with Azure Cloud technologies including Azure DevOps, Azure Synapse, MLOps, GitHub”
The ad says“Experience developing enterprise reporting, dashboards, and semantic models using Microsoft Fabric, Power BI, DAX, and Tabular Editor”
The ad says“Experience with Azure Cloud technologies including Azure DevOps, Azure Synapse, MLOps, GitHub”
The ad says“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.”
The ad says“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)”
The ad says“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)”
The ad says“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)”
The ad says“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)”
The ad says“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)”
The ad says“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)”
The ad says“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)”
The ad says“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)”
The ad says“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)”
The ad says“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)”
The ad says“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)”
The ad says“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.”
The ad says“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.”
The ad says“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)”
The ad says“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.”
The ad says“Experience developing enterprise reporting, dashboards, and semantic models using Microsoft Fabric, Power BI, DAX, and Tabular Editor”
The ad says“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)”
The ad says“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)”

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 expert data-driven story-telling 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

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 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

Asks for

Values