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Retail Data Analyst Jobs in Michigan (NOW HIRING)

Retail Data Collector CROSSMARK is a leading sales and marketing service company in the consumer ... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ...

Through our long-standing relationships with auto dealers, we offer attractive retail financing and ... Analyze portfolio and operational data to identify meaningful trends, performance drivers, emerging ...

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... Equal Opportunity Employer As a Retail Inventory Specialist, you would be a part of our CROSSMARK ...

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... Equal Opportunity Employer As a Retail Inventory Specialist, you would be a part of our CROSSMARK ...

Retail Data Collection Associate - PT

Adrian, MI · On-site

$13.75 - $15.75/hr

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... Equal Opportunity Employer As a retail data collection associate, you would be a part of our ...

Leverage sophisticated POS analysis, shopper insights, and market data to influence retailer decisions * Deliver advanced, insight-led recommendations on assortment strategy, pricing architecture ...

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Showing results 1-20

Retail Data Analyst information

See Michigan salary details

$29.6K

$72K

$118.5K

How much do retail data analyst jobs pay per year?

As of Jul 26, 2026, the average yearly pay for retail 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 the key skills and qualifications needed to thrive in the Retail Data Analyst position, and why are they important?

To thrive as a Retail Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid educational background in mathematics, economics, or a related field. Experience with data analysis tools such as Excel, SQL, Tableau, and often Python or R, along with relevant data analytics certifications, is highly valued. Excellent communication, attention to detail, and problem-solving abilities help candidates translate complex data into actionable business insights. These skills are crucial for turning retail data into strategies that drive sales, optimize inventory, and improve the customer experience.

What are the typical career paths and advancement opportunities for a Retail Data Analyst?

Retail Data Analysts often start by working closely with merchandising, marketing, and operations teams to provide insights on sales trends, customer behavior, and inventory management. Over time, successful analysts can move into senior analyst positions, specialized roles (such as pricing or supply chain analytics), or even transition into management as analytics or business intelligence leads. Many organizations support professional development through training or cross-functional projects, allowing for growth into broader analytics, data science, or strategy roles. This field offers abundant opportunities for those interested in growing their technical expertise and business acumen.

What is a Retail Data Analyst job?

A Retail Data Analyst collects, analyzes, and interprets sales and consumer data to help businesses optimize their retail strategies. They use data-driven insights to improve pricing, inventory management, marketing campaigns, and customer experience. Their role often involves working with databases, visualization tools, and statistical models to identify trends and opportunities. By leveraging data, they help retailers make informed decisions that drive sales and profitability.

What are the most commonly searched types of Retail Data Analyst jobs in Michigan? The most popular types of Retail Data Analyst jobs in Michigan are:
What are popular job titles related to Retail Data Analyst jobs in Michigan? For Retail Data Analyst jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Retail Data Analyst jobs? Cities in Michigan with the most Retail Data Analyst job openings:
Infographic showing various Retail Data Analyst job openings in Michigan as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $72,029 per year, or $34.6 per hour.
Pricing and Promotion Strategy Analyst

Pricing and Promotion Strategy Analyst

Meijer Companies Ltd

Grand Rapids, MI • On-site

Full-time

Posted 5 days ago


Meijer rating

6.2

Company rating: 6.2 out of 10

Based on 1,614 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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