1

Retail Data Analyst Jobs in Michigan (NOW HIRING)

Experience in retail, consumer goods, or manufacturing analytics environments where POS, sell-in, inventory, and third-party retail data are core. * Experience with Databricks Unity Catalog, data ...

Data architect

Lansing, MI · On-site

$64.75 - $83.25/hr

... Retail, e-commerce, Automotive, Life Science, Insurance, legal, healthcare, among others. It also ... My passion is business information that is analyzing, organizing and structuring data so that it ...

Enhance data capabilities using T3 product portfolio, identifying exclusive first-party data to be ... Work with brand teams to maximize retail performance and sales for key markets, channels, or models.

Data Architect Specialist

Dearborn, MI

$58.50 - $75.25/hr

Data APIs and self-service analytics platforms This description can be tailored further for specific industries such as automotive, healthcare, finance, retail, or manufacturing. Given your ...

This position is responsible for leading our agile eCommerce analytics practice ... They will generate and distribute data and insights across eCommerce, retail, marketing ...

This position is responsible for leading our agile eCommerce analytics practice ... They will generate and distribute data and insights across eCommerce, retail, marketing ...

This position is responsible for leading our agile eCommerce analytics practice ... They will generate and distribute data and insights across eCommerce, retail, marketing ...

This position is responsible for leading our agile eCommerce analytics practice ... They will generate and distribute data and insights across eCommerce, retail, marketing ...

... retail and wholesale customers. * Partner with shelf implementation and execution teams to inform total store reset process. * Perform business or statistical analysis to formulate data-driven ...

Showing results 21-40

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 Aug 10, 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.

Is a retail data analyst a high paying job?

A retail data analyst typically earns a competitive salary that varies by experience, location, and company size. Entry-level positions may start lower, while experienced analysts with skills in data visualization and SQL can earn higher wages, often comparable to other data-focused roles in retail environments.

What are the key skills and qualifications needed to thrive as a retail data analyst?

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 is data analytics in retail?

Data analytics in retail involves examining large sets of sales, customer, and inventory data to identify trends, improve decision-making, and optimize operations. Retail data analysts use tools like Excel, SQL, and data visualization software to interpret data and support strategic initiatives.

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?

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 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 August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $72,029 per year, or $34.6 per hour.

Sr. Analyst - Retailer and Pricing Analytics

BISSELL Homecare

Grand Rapids, MI • On-site

Full-time

Re-posted 16 days ago


Job description

Overview
The Senior Analyst, Retailer & Pricing Analytics is a key contributor within BISSELL's Go To Market Analytics (GTMA) Center of Excellence, supporting retailer teams and cross-functional business partners through the development of actionable insights that inform BISSELL's go-to-market strategy. This role leverages internal and external data sources to build analytical frameworks, reporting solutions, and business recommendations that support category growth, retailer development, and portfolio profitability.
This individual will analyze market, shopper, retailer, and financial data to develop insights that support revenue growth management initiatives and retailer planning efforts. The role will create and maintain analyses related to assortment optimization, pricing, promotion effectiveness, SKU rationalization, incrementality opportunities, and retailer-specific programs across in-store, eCommerce, and Direct-to-Consumer channels.
The Senior Analyst will support the development of standardized reporting processes and analytical tools while creating compelling, data-driven business stories that help teams make informed decisions. This position requires strong analytical capabilities, intellectual curiosity, and the ability to translate complex data into clear and actionable insights.
Responsibilities
  • Analyze category, shopper, and retailer trends to identify opportunities for growth, optimization, and improved business performance.
  • Develop data-driven retailer and category insights that support assortment recommendations, innovation launches, and retailer planning discussions.
  • Build analyses that evaluate shopper behavior and omni-channel purchasing trends to enhance the consumer shopping experience.
  • Support Revenue Growth Management (RGM) initiatives by developing pricing, promotion, and assortment analyses across the portfolio.
  • Create analytical models and business cases that quantify pricing opportunities, promotional effectiveness, and revenue growth potential.
  • Develop, maintain, and enhance SKU rationalization and assortment optimization tools to support evolving channel strategies.
  • Conduct elasticity, competitive pricing, average price index, and promotional analyses to assess business performance and identify areas for improvement.
  • Build, automate, and maintain dashboards, scorecards, and reporting solutions that track key retailer and business performance metrics.
  • Develop measurement frameworks using multiple data sources to evaluate strategic initiatives and commercial outcomes.
  • Maintain data integrity and reporting accuracy across recurring analyses and business reviews.
  • Partner with Sales, Marketing, Finance, and Supply Chain teams to deliver insights that support business planning and decision-making.
  • Assist in evaluating new data sources, analytical tools, and methodologies that enhance reporting capabilities and business understanding.
  • Create presentations and business stories that communicate findings, opportunities, and recommendations to stakeholders.

Qualifications
REQUIRED EXPERIENCE/EDUCATION
  • Degree minimum: Bachelor's degree
  • Specific concentration: Business Economics, Marketing, Statistics, Data Analytics, Consumer Research, or related disciplines.
  • Experience level: 4+ years of experience in Retail Analytics, Category Management, Revenue Growth Management, Consumer Insights, Business Analytics, or related analytical functions. Experience analyzing retailer, consumer, and syndicated data sources. Experience working with retailer data platforms and market measurement tools. Experience developing dashboards and reporting solutions using Tableau, Power BI, Domo, or similar visualization tools.

SKILLS REQUIRED
  • Strong analytical and quantitative problem-solving capabilities.
  • Ability to identify trends, patterns, and opportunities within large and complex datasets.
  • Experience building and maintaining analytical models, dashboards, and measurement frameworks.
  • Strong data visualization and reporting skills.
  • Ability to communicate analytical findings clearly and effectively to technical and non-technical audiences.
  • Strong presentation and storytelling capabilities.
  • Excellent organizational, prioritization, and project coordination skills.
  • High attention to detail and commitment to data quality and accuracy.
  • Ability to work independently while collaborating effectively across cross-functional teams.
  • Strong business acumen and understanding of commercial performance drivers.
  • Advanced proficiency in Microsoft Excel, PowerPoint, and data visualization tools.