1

Master Data Analyst Jobs in Detroit, MI (NOW HIRING)

Data/ Information Architect

Dearborn, MI · On-site

$58.75 - $75.50/hr

Master's degree in Computer Science, Data Analytics, Information Systems or similar field. * Strong collaboration, people skills and communication expertise. * Experience influencing/ guiding product ...

Category Leaders and SSC: process support, RFx data preparation, master data maintenance. * Plant ... H. Spend Analytics and Dashboard Support * Pull, cleanse, and analyze procurement spend data from ...

Data Engineer

Auburn Hills, MI · On-site

$108.40K - $130.10K/yr

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role ... master data management, and data manipulation * Expert knowledge and experience with custom ETL ...

SAP Business Analyst - SD/IBP

Ann Arbor, MI · On-site

$51 - $68.50/hr

Configure and optimize organizational structures, customer and business partner master data, sales ... Gather and analyze business requirements and translate them into SAP functional specifications.

... SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer/Data Analyst/ML - Proven leadership in data-driven strategies - Demonstrating thought ...

Data/ Information Architect

Dearborn, MI · On-site

$86.60K - $166.20K/yr

Master's degree in Computer Science, Data Analytics, Information Systems or similar field. * Strong collaboration, people skills and communication expertise. * Experience influencing/ guiding product ...

We are seeking a highly analytical and detail-oriented Data Analyst to support Aptiv's Sales ... Oversee the Master Ship & Debit (S&D) list and maintain a database for tracking and reporting.

next page

Showing results 1-20

People also search for

Master Data Analyst information

See Detroit, MI salary details

$18

$40

$70

How much do master data analyst jobs pay per hour?

As of May 28, 2026, the average hourly pay for master data analyst in Detroit, MI is $40.58, according to ZipRecruiter salary data. Most workers in this role earn between $27.93 and $50.58 per hour, depending on experience, location, and employer.

What Does a Master Data Analyst Do?

A master data analyst monitors and examines master and key data within a company or organization. As a master data analyst, your job duties include developing databases to support business goals, implementing standards for collecting and storing data, and using data to gain key business insights. The career typically requires a bachelor’s degree in IT, data science, or a related field and work experience in data analysis or software programming. Additional qualifications include strong analytical and computer skills, as well as an understanding of database architecture.

What are the key skills and qualifications needed to thrive as a Master Data Analyst, and why are they important?

To thrive as a Master Data Analyst, you need a strong background in data management, analytics, and a relevant degree such as computer science, information systems, or business. Familiarity with data management tools like SAP, Oracle, SQL, and experience with data governance frameworks or related certifications are typically required. Excellent attention to detail, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These competencies are critical for ensuring data accuracy, supporting business decisions, and maintaining consistent data standards across the organization.

How does a Master Data Analyst typically collaborate with other departments to maintain data quality?

A Master Data Analyst regularly works with teams such as IT, finance, supply chain, and operations to ensure data consistency and integrity across systems. This collaboration often involves participating in cross-functional meetings, clarifying data requirements, and resolving discrepancies in master data. Effective communication and problem-solving skills are essential, as the analyst serves as a bridge between technical and business stakeholders to implement data governance policies and improve data processes.

What are Master Data Analysts?

Master Data Analysts are professionals responsible for managing and maintaining an organization's critical business data, often referred to as 'master data.' This includes key information about customers, products, suppliers, and other core business entities. Their work ensures that data is accurate, consistent, and accessible across different departments and systems. Master Data Analysts also help establish data governance standards, support data integration projects, and troubleshoot data quality issues to support business operations and decision-making.

What is the difference between Master Data Analyst vs Data Analyst?

AspectMaster Data AnalystData Analyst
CredentialsBachelor's degree in data-related field; certifications like CDMP or DAMA often preferredBachelor's degree in statistics, mathematics, or related field; certifications are optional
Work EnvironmentFocus on managing and maintaining master data across departmentsAnalyze data sets to generate reports and insights for decision-making
Industry UsageCommon in organizations with complex data management needsWidespread across various industries for data analysis tasks

The main difference is that a Master Data Analyst specializes in managing and maintaining core organizational data, ensuring data quality and consistency. In contrast, a Data Analyst primarily focuses on analyzing data to support business decisions. Both roles require strong analytical skills, but the Master Data Analyst emphasizes data governance and integrity, often working closely with IT and data management teams.

What cities near Detroit, MI are hiring for Master Data Analyst jobs? Cities near Detroit, MI with the most Master Data Analyst job openings:
Infographic showing various Master Data Analyst job openings in Detroit, MI as of May 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 79% In-person, 14% Hybrid, and 7% Remote job distribution, with an average salary of $84,405 per year, or $40.6 per hour.
Warranty Data Analyst / Data Scientist

Warranty Data Analyst / Data Scientist

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 6 days ago


Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 122 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers


Job description

Are you passionate about transforming data into actionable insights that drive product quality and customer satisfaction? We are seeking a strategic and hands-on Data Scientist to support Warranty Analytics and Programs within our North America quality team.
The ideal candidate combines strong analytical skills with practical experience building scalable analytics, models, and data products in enterprise environments. You will be part of a talented team driving predictive analytics and early detection of emerging quality trends using vast datasets across the enterprise.
This is a fast-paced environment providing rapid delivery for our business partners. You will be working in a highly collaborative environment that values speed and quality, with a strong desire to drive change and value.
Key Responsibilities:
  • Lead and coordinate cross-functional AI programs from concept to deployment, ensuring alignment with business goals and timelines
  • Collaborate with other data scientists, engineers, and business stakeholders to define and prioritize program objectives
  • Apply statistical analysis and machine learning techniques to solve business and operational problems
  • Partner with business stakeholders to understand requirements and translate them into analytical solutions
  • Translate business needs into actionable AI use cases and technical requirements
  • Build and deploy predictive models to forecast warranty claims, failure rates, and cost trends
  • Ensure data quality, lineage, documentation, and compliance with governance requirements
  • Create dashboards and analytical outputs that drive insight adoption and operational impact
  • Collaborate with business data engineers, and platform teams on scalability, performance, and best practices

Basic Qualifications:
  • Bachelor's degree in Data Science, Statistics, Engineering, Computer Science, or related field
  • 5+ years experience as Data Scientist, Advanced Analyst, or similar role
  • Strong proficiency in Python, SQL, PySpark and visualization tools (e.g., Power BI, Foundry Workshop)
  • Solid understanding of statistics, exploratory data analysis, and applied machine learning
  • Experience working with large, complex datasets in enterprise environments
  • Ability to communicate analytical findings clearly to technical and non-technical audiences
  • Proven experience delivering end-to-end analytics or data science solutions into production
  • Experience with one or two data and cloud platforms (e.g., Palantir Foundry. Snowflake, Databricks AWS, Azure, GCP)
  • Strong communication and stakeholder engagement skills

Preferred Qualifications:
  • Familiarity with data modeling, semantic layers, and enterprise data platforms
  • Industry experience in automotive and manufacturing
  • Exposure to MLOps concepts, model deployment, or monitoring
  • Hands-on experience with Palantir Foundry, Snowflake Intelligence
  • Master's degree in Data Science, Statistics, Engineering, Computer Science, or related field

What Stellantis employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom