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Retail Data Systems Jobs in Michigan (NOW HIRING)

GTT, LLC

Data Warehouse Architect

Lansing, MI · Hybrid

$85 - $90/hr

Monitor system performance and troubleshoot technical issues across data platforms * Perform data ... and retail sectors throughout the U.S. and Canada. Job Number: 26-10669 Industry: Software ...

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iMBranded

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Systems Engineer

Troy, MI · On-site

$60K - $65K/yr

... in the retail automotive segment with OEMs and the dealer network. The Systems Engineer is ... Support data collection, validation, and structuring efforts to improve reporting accuracy and ...

Blarney Castle Oil Co.

Deli Manager

Charlevoix, MI · On-site

$15.50 - $21/hr

Ensure vendor data and prices are accurately recorded in inventory tracking systems. Cost check invoices compared to retail data, and identify and resolve any discrepancies. Update cost sheets as ...

Blarney Castle Oil Co.

Deli Manager

Fowler, MI · On-site

$14.75 - $20/hr

Ensure vendor data and prices are accurately recorded in inventory tracking systems. Cost check invoices compared to retail data, and identify and resolve any discrepancies. Update cost sheets as ...

Stem Xpert

Data architect

Lansing, MI

$64.75 - $83.25/hr

... Retail, e-commerce, Automotive, Life Science, Insurance, legal, healthcare, among others. It also ... Enterprise Solutions, Web Development, Data Warehousing, Systems Integration, IT Security, Storage ...

Blarney Castle Oil Co.

Deli Manager

Harbor Springs, MI · On-site

$16.75 - $22.50/hr

Ensure vendor data and prices are accurately recorded in inventory tracking systems. Cost check invoices compared to retail data, and identify and resolve any discrepancies. Update cost sheets as ...

Blarney Castle Oil Co.

Deli Manager

Newaygo, MI · On-site

$14 - $18.75/hr

Ensure vendor data and prices are accurately recorded in inventory tracking systems. Cost check invoices compared to retail data, and identify and resolve any discrepancies. Update cost sheets as ...

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FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

GCP, Big Data, Data Warehousing, Artificial Intelligence & Expert Systems, API * GCP - Experience ... For example, modeling a star schema for a retail analytics platform that supports reporting on ...

Compunnel

Data Scientist

Grand Rapids, MI · On-site

... systems. The ideal candidate will develop AI-powered solutions that enhance product discovery ... the retail industry. • Strong expertise in machine learning, artificial intelligence, and ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

GCP, Big Data, Data Warehousing, Artificial Intelligence & Expert Systems, API * GCP - Experience ... For example, modeling a star schema for a retail analytics platform that supports reporting on ...

iMBranded

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Systems Administrator

Troy, MI · On-site

$55K - $58K/yr

... in the retail automotive segment with OEMs and the dealer network. Given our growth we are ... Maintain information management process, procedures and best practices to ensure data is protected ...

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Retail Data Systems information

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$9

$42

$64

How much do retail data systems jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for retail data systems in Michigan is $42.85, according to ZipRecruiter salary data. Most workers in this role earn between $33.51 and $51.54 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities for someone working in retail data systems?

Professionals in Retail Data Systems are often responsible for managing and maintaining point-of-sale (POS) and inventory management databases, ensuring data integrity, and generating analysis reports for store performance and sales trends. They frequently work with IT and retail management teams to troubleshoot system issues, implement software updates, and support end-users with data needs. Daily tasks may also include monitoring data feeds, reconciling discrepancies, and helping optimize business processes through data-driven insights. The role usually involves a mix of routine data maintenance and project-based work, offering both structure and variety in daily activities.

What are the key skills and qualifications needed to thrive in the retail data systems position, and why are they important?

To thrive in Retail Data Systems, candidates typically need a background in data management, familiarity with retail operations, and strong analytical abilities, often supported by a degree in information technology, business, or a related field. Experience with retail POS systems, database management software (such as SQL), and data analytics tools (like Tableau or Power BI) is highly valuable, and certifications such as CompTIA Data+ or Microsoft Certified: Data Analyst Associate can be beneficial. Effective communication, problem-solving skills, and attention to detail help professionals stand out in this dynamic environment. These skills are crucial for ensuring accurate data processing, informing business decisions, and supporting the technology needs of retail organizations.

What is a retail data systems?

A Retail Data Systems job involves managing and optimizing data systems used in retail operations. This includes maintaining point-of-sale (POS) systems, inventory databases, and customer relationship management (CRM) tools. Professionals in this role ensure data accuracy, troubleshoot technical issues, and enhance system efficiency to improve business operations. They may also assist with software implementation, cybersecurity measures, and data analytics to support decision-making.

What are the most commonly searched types of Retail Data Systems jobs in Michigan? The most popular types of Retail Data Systems jobs in Michigan are:
What are popular job titles related to Retail Data Systems jobs in Michigan? For Retail Data Systems jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Retail Data Systems jobs in Michigan look for? The top searched job categories for Retail Data Systems jobs in Michigan are:
Retail Data Systems jobs near you
Infographic showing various Retail Data Systems job openings in Michigan as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $89,130 per year, or $42.9 per hour.

Pricing and Promotion Strategy Analyst

Meijer Companies Ltd

Grand Rapids, MI • On-site

Full-time

Posted 18 days ago

Meijer rating

6.2

Company rating: 6.2 out of 10

Based on 1,634 frontline employees who took The Breakroom Quiz

20th 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!

The Pricing & Promotion Strategy Analyst is the analytical engine that enables the Pricing & Promotional Strategy Partner team to execute Meijer's Elevate strategy at the category level. This role owns the data assembly, integration, and analytical outputs that Strategy Partners depend on to lead category deep dives, develop Golden Rules, co-own promotional calendars, and influence merchant decisions across Fresh, Grocery, HBC, and Hardlines/Softlines.
The role maintains the Price Architecture framework, tracking AUR performance against tier and profile targets, and supports promotional effectiveness analysis. Success requires data proficiency, the ability to work with high-volume multi-source retail data, and a consistent commitment to data accuracy and timeliness-so Strategy Partners can action on data insight.


What You'll Be Doing:

  • Own the deep dive data framework: assemble, merge, and clean item-level pricing history, promotional events, competitive observations, basket penetration, and vendor funding by SKU for assigned category waves.
  • Maintain structured data that Strategy Partners use to enter each deep dive, ensuring inputs are current, validated, and item-level before analysis begins.
  • Identify and resolve upstream quality issues-mismatched SKU mappings, missing competitive observations, duplicate promotional records-before they surface in merchant-facing outputs.
  • Maintain data pipelines across multiple parallel category waves at different stages of the deep dive process.
  • Synthesize item-level pricing, promotional history, competitive positioning, basket penetration, and vendor funding into a complete category picture before any recommendation is made.
  • Own and maintain the Price Architecture Framework (Product Tier Profile Lever) for assigned categories as the single source of truth feeding pricing and promo systems, keeping assignments current through annual review and flagging material shifts to Strategy Partners.
  • Support KVI list expansion and ongoing tier/lever decisions with data analysis on basket penetration, competitive overlap, and price elasticity.
  • Partner with Strategy Partners to design, run, and interpret tests validating Elevate assumptions on Archetype IV categories, reporting recommendations to merchant teams.
  • Partner with Pricing Execution to monitor actual AUR against Balance Matrix Profile/Tier targets, advise on adjustments, and feed results into the annual Balance Matrix review.
  • Deliver timely, validated analysis and scenario models for Strategy Partners' merchant meetings, pricing events, and AUR gap escalations, quantifying financial impact of promo, base price, or vendor funding changes.
  • Build and maintain reusable analytical templates (category workbooks, AUR dashboards, promo summaries) to speed up each new category wave.

What You'll Bring With You:

  • Bachelor's degree in Business, Economics, Finance, Statistics, Mathematics, or a related quantitative field.
  • 2-4 years of experience in pricing analytics, promotional analytics, retail data analysis, or a related role; experience within a retail pricing, category management, or merchandising analytics function preferred.
  • Proficiency in SQL for querying large transactional datasets; advanced Excel; experience with BI or visualization tools such as Power BI or Tableau.
  • Ability to work with high-volume, multi-source retail data-identifying quality issues, building reproducible data pipelines, and delivering clean outputs on recurring schedules.
  • Working knowledge of retail pricing concepts such as AUR, promotional lift, elasticity, and margin, and how data connects to pricing and promotional decisions.
  • Ability to structure and communicate analytical outputs clearly for Strategy Partner and merchant audiences.
  • Proficient in statistical analysis software (e.g., SAS, SPSS, Stata, R, Python) required.
  • Experience working directly alongside pricing strategists, category managers, or merchant/buying teams in a retail environment.
  • Exposure to ML/AI-enabled promotional effectiveness modeling or price elasticity modeling; experience preparing input datasets for data science teams.
  • Experience with competitive intelligence data sources (e.g., Nielsen, IRI, competitive web data, or equivalent) and integrating external competitive pricing feeds into internal tracking.

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