ZipRecruiter

Log In

1

Spatial Data Analyst Jobs in Michigan (NOW HIRING)

Meijer, Inc.

Advanced Analyst II

Grand Rapids, MI · On-site

This role directly supports data-driven actions taken across the business to have a positive impact ... spatial modeling, forecasting and/or econometric time series models. * Experience working in a ...

Henry Ford Health System

Epidemiologist I

Detroit, MI · On-site

SAS, R, Python, Data visualization, Data curation/transformation, Spatial epidemiologic analysis, Geocoding and GIS mapping, epidemiological research-based computational modeling and simulation ...

Corporate Services

Epidemiologist I

Detroit, MI

SAS, R, Python, Data visualization, Data curation/transformation, Spatial epidemiologic analysis, Geocoding and GIS mapping, epidemiological research-based computational modeling and simulation ...

Cynet Systems

SAP EAM Consultant

Jackson, MI · On-site

$59 - $80.50/hr

... data and information management practices. Strong analytical and problem-solving skills. Experience with S/4HANA implementations or support. Familiarity with GIS integrations and spatial asset ...

Varsity Tutors

High School Geography Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Skilled at teaching map interpretation, spatial analysis, and geographic reasoning. Guides students through reading topographic and thematic maps, analyzing population data and migration patterns ...

Varsity Tutors

High School Geography Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

Skilled at teaching map interpretation, spatial analysis, and geographic reasoning. Guides students through reading topographic and thematic maps, analyzing population data and migration patterns ...

Varsity Tutors

High School Geography Tutor

Detroit, MI · Remote

$18 - $40/hr

Skilled at teaching map interpretation, spatial analysis, and geographic reasoning. Guides students through reading topographic and thematic maps, analyzing population data and migration patterns ...

Trilon Group

G.I.S.

Houghton, MI

Provide spatial and graphical interpretation of environmental analytical data, including but not limited to contaminant maps, geophysical maps, and potentiometric and other surface maps * Manage ...

University of Michigan

RESEARCH FELLOW

Ann Arbor, MI · On-site

... spatial transcriptomics, neurophysiology, and advanced computational approaches. The lab is ... omic data analysis. Candidates should possess strong technical expertise in mammalian sleep ...

University of Michigan

RESEARCH FELLOW

Ann Arbor, MI · On-site

... and spatial transcriptomics, ATAC-seq) and quantitative imaging (including confocal microscopy ... Analyze and interpret data using appropriate computational/statistical approaches; maintain ...

next page

Showing results 1-20

All JobsSpatial Data Analyst JobsSpatial Data Analyst Jobs in Michigan

Spatial Data Analyst information

See Michigan salary details

$29.6K

$72K

$118.5K

How much do spatial data analyst jobs pay per year?

As of Jun 26, 2026, the average yearly pay for spatial data analyst in Michigan is $72,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $84,500.00 per year, depending on experience, location, and employer.

What are some typical projects or tasks a Spatial Data Analyst might work on?

Spatial Data Analysts often work on a variety of projects involving the collection, management, and analysis of geographic data, such as mapping environmental patterns, optimizing logistics routes, or supporting urban planning initiatives. On a daily basis, they may clean and process datasets, generate detailed maps, create visualizations and reports, and provide insights to inform project decisions. Collaboration with engineers, urban planners, environmental scientists, and IT professionals is common, making teamwork and clear communication essential. These tasks are integral to helping organizations make data-driven decisions that rely on spatial information.

What does a Spatial Data Analyst do?

A Spatial Data Analyst collects, analyzes, and interprets geographic and spatial data to support decision-making in various industries. They use Geographic Information Systems (GIS) and other analytical tools to visualize patterns, create maps, and develop models based on spatial data. Their work helps businesses, governments, and organizations optimize operations, plan infrastructure, and manage resources effectively.

What is the top GIS salary?

The highest GIS salaries for experienced Spatial Data Analysts can exceed $100,000 annually, especially in high-demand industries or regions with a strong tech or government presence. Salaries vary based on experience, certifications, and technical skills such as proficiency in ArcGIS or QGIS, with senior roles and specialized expertise commanding the top pay.

Is GIS a high demand job?

GIS (Geographic Information Systems) and spatial data analyst roles are in high demand across industries such as urban planning, environmental management, and transportation due to the increasing reliance on spatial data for decision-making. These jobs often require proficiency in GIS software like ArcGIS or QGIS and relevant certifications, with employment opportunities expected to grow as data-driven approaches expand.

Will GIS be overtaken by AI?

GIS (Geographic Information Systems) professionals, including Spatial Data Analysts, use AI to enhance data processing, pattern recognition, and predictive modeling. While AI automates certain tasks, GIS skills remain essential for interpreting spatial data, designing workflows, and ensuring data accuracy, making AI a complementary tool rather than a replacement.

What are the key skills and qualifications needed to thrive in the Spatial Data Analyst position, and why are they important?

To thrive as a Spatial Data Analyst, you need strong skills in GIS (Geographic Information Systems), spatial data analysis, database management, and a solid understanding of geography or related fields, often supported by a relevant degree. Familiarity with tools like ArcGIS, QGIS, SQL, Python, and sometimes certifications such as GISP are highly valuable. Attention to detail, problem-solving abilities, and effective communication enhance collaboration with teams and stakeholders. These competencies ensure accurate spatial analysis, meaningful data-driven insights, and effective decision-making in diverse industries.

What is a spatial data analyst?

A spatial data analyst is a professional who collects, analyzes, and interprets geographic data to support decision-making. They often use GIS (Geographic Information Systems) tools and spatial analysis techniques to visualize patterns and solve location-based problems.
What are the most commonly searched types of Spatial Data Analyst jobs in Michigan? The most popular types of Spatial Data Analyst jobs in Michigan are:
What are popular job titles related to Spatial Data Analyst jobs in Michigan? For Spatial Data Analyst jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Spatial Data Analyst jobs in Michigan look for? The top searched job categories for Spatial Data Analyst jobs in Michigan are:
Spatial Data Analyst jobs near you
Advanced Analyst II

Advanced Analyst II

Meijer, Inc.

Grand Rapids, MI • On-site

Full-time

Posted 11 days ago

Meijer rating

6.2

Company rating: 6.2 out of 10

Based on 1,598 frontline employees who took The Breakroom Quiz

19th of 39 rated national retailers

Job description

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 on the Meijer Advanced Analytics Team. Advanced Analytics is a cross functional team that marries a highly technical skillset, rooted in statistics and machine learning, with expert level communication and collaboration to serve and partner with a multitude of business areas. The Advanced Analyst II 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 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, 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

What Meijer employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply