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Retail Data Analyst Jobs in Michigan (NOW HIRING)

Masco Corporation

Data Engineering Leader

Livonia, MI · On-site

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 ...

Watkins Wellness

Data Engineering Leader

Livonia, MI · On-site

$125 - $150/hr

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 ...

IBM

AI, Analytics, Automation & Data Services - focused on helping organizations modernize data ... retail, manufacturing, government, energy, and more. Throughout your internship, you'll collaborate ...

Stem Xpert

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 ...

twentysix

Strategy Director

Detroit, MI · On-site

$60 - $80/hr

Mentor and manage junior to mid-level strategists, building team capability in retail data analysis, brief writing, and consumer insight generation. Qualifications & Experience * Experience: 8512 ...

AaraTechnologies Inc

DATA ENGINEER

Wyoming, MI · On-site

$103K - $124K/yr

Data Engineer Retail & E-Commerce (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Engineer Retail & E-Commerce to support data pipelines and analytics ...

AaraTechnologies Inc

DATA ENGINEER

Wyoming, MI · On-site

$103K - $124K/yr

Data Engineer Retail & E-Commerce (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Engineer Retail & E-Commerce to support data pipelines and analytics ...

Bright Mind Solutions LLC

Marketing Analyst

Warren, MI · On-site

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.

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Retail Data Analyst information

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$29.6K

$72K

$118.5K

How much do retail data analyst jobs pay per year?

As of Sep 8, 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 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 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 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 does a retail data analyst do?

A retail data analyst collects, analyzes, and interprets sales, inventory, and customer data to help retail businesses make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, optimize stock levels, and improve sales strategies. Strong analytical skills and understanding of retail operations are essential for this role.

What is data analytics in retail?

Data analytics in retail involves examining large sets of sales, customer, and inventory data to identify patterns, trends, and insights that support decision-making. Retail data analysts use tools like Excel, SQL, and data visualization software to optimize inventory, improve customer experience, and increase sales efficiency.

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 job categories do people searching Retail Data Analyst jobs in Michigan look for?

The top searched job categories for Retail Data Analyst jobs in Michigan are:

What cities in Michigan are hiring for Retail Data Analyst jobs?

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Retail Data Analyst jobs near you
Infographic showing various Retail Data Analyst job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $72,029 per year, or $34.6 per hour.

Data Engineering Leader

Livonia, MI • On-site

Masco Corporation
Building Materials and Garden Equipment Dealers • 10K+ employees
Learn more about Masco Corporationexternal

Full-time

Re-posted 10 days ago

Key responsibilities

  • Lead, coach, and manage a team of Data Engineers, including performance guidance and prioritization.

  • Own the build, operation, and monitoring of ingestion pipelines and data platform components.

  • Own incident management, release management, and ensure operational SLAs are met.

Masco rating

7.7

Company rating: 7.7 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

Job description

Role Summary
The Data Engineering Leader owns the delivery, quality, and operational health of Masco's enterprise data engineering capability. Reporting to the Enterprise Data Architect, this role leads a team of Data Engineers building and operating the ingestion, transformation, and Lakehouse solutions that power enterprise POS and adjacent commercial data. This is a hands-on technical leader who codes alongside the team, holds engineers accountable to project plans and SLAs, and provides architectural support to the Enterprise Data Architect on ingestion patterns, pipeline design, and platform decisions. The Data Engineering Leader partners closely with the BI Delivery Leader to ensure enterprise data structures and models are in place for accurate, timely analytics delivery.
What You'll Own
Engineering Team Leadership & Delivery Accountability
  • Lead, coach, and manage a team of Data Engineers, including performance guidance and prioritization.

  • Hold the team accountable to project plans, sprint commitments, and quality expectations.

  • Coordinate onshore and offshore engineering capacity, serving as the technical lead for offshore engineering resources and the bridge back to onshore leads.

  • Sequence sprint delivery against the priority roadmap and requirements set by the Enterprise Data Architect, Technical Product Owner, and Business Data Analyst.

Ingestion, Pipeline & Data Platform Build
  • Own the build and operation of ingestion pipelines across retailer, HQ, and BU data sources on the Databricks and Azure data stack.

  • Contribute directly as a senior engineer on critical-path pipelines, Lakehouse design, and modeling work.

  • Partner with the Architect to build the ingestion side of the attribution crosswalk and master data foundations to the documented spec.

  • Enforce data-validation gates for completeness, outliers, and consistency before data reaches enrichment.

Incident Management, Release Management & Operational SLAs
  • Own intake, triage, and resolution of pipeline incidents and data issues raised by BU and HQ consumers.

  • Own release management for engineering enhancements, requests, and projects, including development operations, sprint execution, deadlines, and delivery of the business value defined by the Business Data Analyst and Technical Product Owner.

  • Establish and adhere to SLAs for incident response, resolution, and communication back to consumers.

  • Own monitoring, alerting, and operational health of pipelines, credentials, and source integrations.

  • Escalate issues that touch the enterprise model, masters, or attribution to the Enterprise Data Architect.

Cloud Cost & Consumption Management
  • Monitor cloud storage, compute, and consumption of enterprise data platforms, and track related costs.

  • Contribute to budgeting for cloud, data services, and engineering tools, informed by consumption trends and workload forecasts.

  • Recommend cost optimization actions such as right-sizing, workload tuning, and storage tiering as part of ongoing platform operations.

Architecture Support & Analytics Delivery Enablement
  • Serve as a delivery-side extension of the Enterprise Data Architect, advising on ingestion patterns, Lakehouse design, and platform decisions.

  • Enforce enterprise standards for data engineering, integration, and data quality in all work delivered by the team.

  • Work closely with the BI Delivery Leader to ensure enterprise data structures, models, and metric definitions are in place for accurate and timely analytics delivery.

  • Stay connected to BU data engineering counterparts for collaboration, cross-learning, and consistent enterprise practice.

Documentation & Knowledge Management
  • Establish and enforce how engineering documentation works across the team, in partnership with the Enterprise Data Architect.

  • Own documentation standards for pipelines, ingestion patterns, operational runbooks, credentials management, incident response, and release management.

  • Ensure engineers document changes to metrics, pipelines, and data flows as part of the definition of done.

Required Qualifications
Education & Experience
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Analytics, or a related field; equivalent professional experience considered.

  • Proven experience in a data engineering leadership role, including managing engineers and delivery accountability.

  • Substantial hands-on experience designing and building scalable data engineering solutions on a major cloud platform, with emphasis on the Azure ecosystem.

  • Experience running incident management and SLA-driven support for data pipelines.

  • Experience coordinating onshore and offshore engineering delivery.

Technical Skills
  • Advanced hands-on expertise with Databricks and the Azure data stack (Data Factory, Data Lake, Synapse, Analysis Services).

  • Deep working knowledge of the medallion architecture (bronze / silver / gold) for structuring Lakehouse solutions.

  • Understanding of and experience with Microsoft Fabric, including how it fits alongside Databricks in a modern enterprise data platform.

  • Advanced SQL / T-SQL and strong ETL/ELT design and build experience.

  • Strong proficiency in Python for data engineering.

  • Working knowledge of distributed processing and Lakehouse principles.

  • Solid understanding of CI/CD, DevOps, and automation for data workflows.

  • Strong understanding of Kimball dimensional modeling and enterprise semantic layers.

  • Understanding of data governance, security, and compliance as they apply to enterprise data engineering.

Skills & Competencies
  • Player-coach mindset. Leads the team and still contributes directly on critical-path engineering work.

  • Delivery-driven. Owns commitments, SLAs, and follow-through.

  • Willingness to explore and understand new and modern data tools to add value to the enterprise POS and POS-related engineering space.

  • Collaborative with BU data engineering counterparts for cross-learning and consistent practice.

  • Strong communicator who can translate engineering realities for business and leadership, and architectural direction for engineers.

  • Detail-oriented, self-directed, and a continuous learner on modern data engineering practices.

  • Ability to lead team and manage career development for small number of direct reports.

Preferred Qualifications
  • 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 lineage, and observability tools.

  • Experience with PowerBI.

  • Familiarity with ML/AI integration (MLflow, Azure ML) and DataOps/MLOps practices.

  • Experience with RESTful API development for data acquisition.

  • Familiarity with modern DataOps, Agile, or Kanban delivery practices.

Company: Masco
Full time
Hiring Range: $103,700.00 - $163,020.00 USD
Actual compensation may vary based on various factors including experience, education, geographic location, and/or skills.
Masco Corporation (the "Company") is an equal opportunity employer and we strive to employ the most qualified individuals for every position. The Company makes employment decisions only based on merit. It is the Company's policy to prohibit discrimination in any employment opportunity (including but not limited to recruitment, employment, promotion, salary increases, benefits, termination and all other terms and conditions of employment) based on race, color, sex, sexual orientation, gender, gender identity, gender expression, genetic information, pregnancy, religious creed, national origin, ancestry, age, physical/mental disability, medical condition, marital/domestic partner status, military and veteran status, height, weight or any other such characteristic protected by federal, state or local law. The Company is committed to complying with all applicable laws providing equal employment opportunities. This commitment applies to all people involved in the operations of the Company regardless of where the employee is located and prohibits unlawful discrimination by any employee of the Company.
Masco Corporation is an E-Verify employer. E-Verify is an Internet based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employers to electronically verify the employment eligibility of their newly hired employees in the United States. Please click on the following links for more information.
E-Verify Participation Poster: English & Spanish
E-verify Right to Work Poster: English, Spanish

What Masco employees say

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About Masco

Sourced by ZipRecruiter

Our founder, Alex Manoogian, arrived in the United States in 1920 with $50 in his pocket and a relentless drive to make a better life for himself and his family. Decades later, that drive continues to permeate every aspect of our business. We believe in better living possibilities—for our homes, our environment and our community. Across our businesses and geographies, we seek out these possibilities to grow ourselves, enhance our consumers’ lives, create long-term value for our shareholders and improve the world around us. As a family of companies, we share a strong ethical culture and continuous improvement mindset driven by people and backed by an operating system designed to leverage our scale.

Industry

Building materials and garden equipment dealers

Company size

10,000+ Employees

Headquarters location

Livonia, MI, US

Year founded

1929

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