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Master Data Analyst Jobs in Minnesota (NOW HIRING)

Data Governance- Manager

Minneapolis, MN · On-site

$99K - $232K/yr

... Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this ...

Position Summary Apogee's Data, Analytics & Integration organization focuses on implementing processes and solutions for Data Governance, Master Data Management, Data Analytics and Integration. This ...

Data Governance Lead

Minneapolis, MN · On-site

$105 - $112/hr

Collaborate within a data mesh / modern analytics environment * Support Master Data Management (MDM) initiatives and governance maturity * Define governance KPIs related to data quality ...

... master data management, and data quality frameworks. * Strong understanding of enterprise Business Intelligence platforms such as Tableau, PowerBI, Adobe Customer Journey Analytics. * Fortune 500 ...

... master data management, and data quality frameworks. * Strong understanding of enterprise Business Intelligence platforms such as Tableau, PowerBI, Adobe Customer Journey Analytics. * Fortune 500 ...

... master data management, and data quality frameworks. * Strong understanding of enterprise Business Intelligence platforms such as Tableau, PowerBI, Adobe Customer Journey Analytics. * Fortune 500 ...

Showing results 41-60

Master Data Analyst information

See Minnesota salary details

$19

$43

$75

How much do master data analyst jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for master data analyst in Minnesota is $43.44, according to ZipRecruiter salary data. Most workers in this role earn between $29.90 and $54.13 per hour, depending on experience, location, and employer.

What is a master data analyst?

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.

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 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 jobs can I do with a master's in data analytics?

A master's in data analytics qualifies you for roles such as data analyst, data scientist, business intelligence analyst, and data engineer. These positions involve analyzing large datasets, creating reports, and using tools like SQL, Python, or R to support decision-making across various industries.

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.

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 in Minnesota are hiring for Master Data Analyst jobs? Cities in Minnesota with the most Master Data Analyst job openings:
What are popular job titles related to Master Data Analyst jobs in MN? For Master Data Analyst jobs in MN, the most frequently searched job titles are:
Infographic showing various Master Data Analyst job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $90,348 per year, or $43.4 per hour.

Data Governance- Manager

Pwc

Minneapolis, MN • On-site

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

27th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Data Governance team, you will lead the development and implementation of data-driven strategies that drive business growth and enhance decision-making. As a Manager, you will supervise, develop, and coach teams while managing client service accounts and driving engagement workstreams, delivering quality deliverables that meet client expectations. This is an exciting opportunity to leverage your knowledge in data governance and analytics to make a significant impact on our clients' success.
Responsibilities
- Lead the creation and execution of data governance strategies
- Supervise and mentor team members to enhance their skills
- Manage client accounts and confirm deliverables meet quality standards
- Analyze data to inform business decisions and drive growth
- Foster collaboration within teams to enhance engagement workstreams
- Uphold the firm's methodologies and confirm compliance with standards
- Identify areas for enhancement in data management processes
- Encourage innovative approaches to enhance data-driven solutions
What You Must Have
- Bachelor's Degree
- At least 5 years of experience
What Sets You Apart
- AWS Certified Data Analytics / Solutions Architect
- Azure Data Engineer / Azure Solutions Architect
- Google Professional Data Engineer
- DAMA CDMP (Certified Data Management Professional)
- Informatica Certified Professional
- Alation Certified Data Catalog Professional
- Collibra Certified Ranger/Steward/Professionals
- SAP Certified Application Associate - SAP Master Data Governance (MDG)
- SnowPro Core / SnowPro Advanced
- Databricks Certified Data Engineer / Data Analyst / ML

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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