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Master Data Analyst Jobs in Minnesota (NOW HIRING)

Sr. Data Analyst | TELECOMMUTE

Minneapolis, MN · On-site +1

$89K - $113K/yr

We have a Scrum Master aligned as well Responsibilities: * Be a key or core resource for complex ... Data Analysis Basic Qualification : Additional Skills : Data Analyst This is a high PRIORITY ...

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

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 ...

Responsibilities Data Scientists at Mayo Clinic perform detailed analysis of large bodies of ... The preferred candidate will possess a Master's degree or a PhD in a relevant field such as ...

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... The preferred candidate will possess a Master's degree or a PhD in a relevant field such as ...

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... The preferred candidate will possess a Master's degree or a PhD in a relevant field such as ...

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 ...

Responsibilities: • Audit and refine item master records in NetSuite, including catalog, assembly ... analysis and data cleaning practices in a business or operational environment.

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Master Data Analyst information

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How much do master data analyst jobs pay per hour?

As of Jul 19, 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 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.

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.

Is a master's in data analysis worth it?

For a Master Data Analyst, obtaining a master's degree in data analysis can enhance technical skills, such as proficiency in SQL, Python, and data visualization tools, and may improve job prospects and salary potential. However, practical experience and certifications like Certified Analytics Professional (CAP) can also be valuable in this field. The decision depends on career goals and the specific requirements of employers in data analysis roles.

Is 40 too late for data science?

For a Master Data Analyst, age is not a barrier to entering data science. Many professionals successfully transition into data science roles later in their careers by acquiring relevant skills such as programming, statistics, and tools like Python or SQL, often through online courses or certifications. Experience and continuous learning are valued more than age in the data industry.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but a Master Data Analyst's role involves interpreting complex data, making strategic decisions, and communicating insights, which require human judgment and domain expertise. AI tools are valuable for enhancing efficiency but are unlikely to fully replace skilled analysts who provide critical context and nuanced analysis.

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 can I do with a master's in data analysis?

A master's in data analysis prepares individuals for roles such as Master Data Analyst, Data Scientist, or Business Intelligence Analyst, involving tasks like data cleaning, statistical analysis, and reporting. It often requires proficiency in tools like SQL, Python, or R and understanding of data management systems. Graduates can work in various industries including finance, healthcare, and technology, often in environments that emphasize data-driven 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 job categories do people searching Master Data Analyst jobs in Minnesota look for? The top searched job categories for Master Data Analyst jobs in Minnesota are:
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 July 2026, with employment types broken down into 43% Full Time, 8% Part Time, and 49% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $90,348 per year, or $43.4 per hour.
Senior Data Analyst - AI, Operations & Supply Chain

Senior Data Analyst - AI, Operations & Supply Chain

Bio-Techne

Minneapolis, MN • On-site

$81K - $101K/yr

Full-time

Re-posted 5 days ago


Bio-Techne rating

8.4

Company rating: 8.4 out of 10

Based on 15 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
Bio-Techne is a company dedicated to enabling cutting-edge research in Life Sciences and Clinical Diagnostics. The Senior Data Analyst – Operations & Supply Chain will drive supply chain agility and operational excellence through data analysis, developing scalable analytics tools and providing actionable insights to influence decision-making across various teams.
Responsibilities:
• Develop Advanced Analytics Solutions: Build and maintain dashboards and tools using Power BI, SQL, and Excel to deliver end-to-end visibility across supply chain KPIs including inventory turns, forecast accuracy, OTD, and production throughput.
• Supply Chain & Manufacturing Analysis: Analyze complex datasets from ERP/MRP systems, demand plans, and production schedules to uncover inefficiencies, delays, and root causes. Drive continuous improvement in areas such as order flow, raw material availability, safety stock, and build plans.
• Inventory Planning & Forecasting: Support demand and supply planning by building models that improve inventory health, predict shortages or overages, and align stock levels with customer demand and production constraints.
• MRP System Integration: Partner with planning and operations teams to ensure data models and recommendations align with MRP logic and master data structures. Help shape BOM, lead time, and lot size assumptions to improve planning accuracy.
• Strategic Insights & Decision Support: Translate data into strategic recommendations for operations and supply chain leaders. Focus on balancing service levels, working capital, and operational cost through better planning and scenario modeling.
• Automation & Scalability: Design and implement automated pipelines, workflows, and reporting processes that reduce manual work, increase visibility, and enable proactive response to supply/demand variability.
• Stakeholder Engagement: Act as a thought partner to manufacturing, logistics, and finance stakeholders. Communicate findings clearly and tailor insights to operational, technical, and executive audiences.
• Mentorship & Collaboration: Provide guidance to junior analysts and support a culture of data fluency across the supply chain team.
• Project Leadership: Lead and manage high-impact analytics initiatives, ensuring timely delivery and alignment with organizational goals.
Qualifications:
Required:
• Bachelor’s degree in Supply Chain, Finance, Accounting, Operations, Business Analytics, Industrial Engineering, or related field
• 6–8 years of experience in data analytics with a strong focus on supply chain, operations, or manufacturing
• Advanced proficiency in Power BI, SQL, and Excel, with experience in automation and scripting
• Proven experience with inventory planning, demand forecasting, MRP, ERP systems
• Experience with predictive modeling, regression analysis, and correlation techniques
• Ability to distinguish signal from noise in complex datasets, providing clear insights for leadership
• Proven track record of developing scalable, long-term analytical solutions
• Strong project management skills with the ability to lead and execute initiatives
• Strong business acumen and understanding of how supply chain data impacts cost, service, and capacity
• Strong understanding of financial and operational metrics and how they influence business performance
• Clear and confident communication skills, including stakeholder-facing presentations
Preferred:
• Experience working with Salesforce, Smartsheet, or other business intelligence tools is a plus
• Experience building dashboards and tools that drive operational execution and planning decisions
• Experience in a warehouse, manufacturing or production environment
• Familiarity with production scheduling, capacity planning, and BOM structures
• Statistical or ML modeling experience for forecast or simulation
• Knowledge of Lean, Six Sigma, or process improvement methodologies
• Experience working with cross-functional data (e.g., sales, finance, operations) to enable full-picture decision-making
Company:
Bio-Techne develops and supplies life science products, research tools, analytical instruments, and diagnostic solutions. Founded in 1981, the company is headquartered in Minneapolis, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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