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Data Management Jobs in Minnesota (NOW HIRING)

Expleo

Data Management Strategic Planner

Saint Paul, MN · On-site

Trissential is hiring a Data Management Strategic Planner to join our client's team in a highly visible, strategic role where you'll help shape data-driven decision-making, advance data management ...

New

Expleo

Data Management Strategic Planner

Saint Paul, MN · Remote

Trissential is hiring a Data Management Strategic Planner to join our client's team in a highly visible, strategic role where you'll help shape data-driven decision-making, advance data management ...

New

CentraCare

Data Management Assistant

Willmar, MN

$18.06 - $27.07/hr

As a Data Management Assistant you are responsible for maintaining a complete and accurate health record while ensuring the integrity of the enterprise wide health record. Uses standard procedures to ...

CentraCare

Data Management Assistant

Willmar, MN · On-site

$18.06 - $27.07/hr

As a Data Management Assistant you are responsible for maintaining a complete and accurate health record while ensuring the integrity of the enterprise wide health record. Uses standard procedures to ...

CentraCare Health

Data Management Assistant

Willmar, MN

$18.06 - $27.07/hr

As a Data Management Assistant you are responsible for maintaining a complete and accurate health record while ensuring the integrity of the enterprise wide health record. Uses standard procedures to ...

Generis TEK Inc.

Clinical Data Manager

Maple Grove, MN · On-site

$44/hr

Analytical and critical thinking skills along with related prior data management experience. * Great communication skills with a focus on collaboration. * Confident in leading discussions and ...

New

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All JobsData Management JobsData Management Jobs in Minnesota

Data Management information

See Minnesota salary details

$30.4K

$95.1K

$168.5K

How much do data management jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data management in Minnesota is $95,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $122,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced by data management professionals in ensuring data quality and consistency across departments?

Data Management professionals often encounter challenges such as inconsistent data entry practices, siloed information systems, and varying data standards across departments. Addressing these issues typically involves implementing data governance frameworks, standardizing processes, and fostering collaboration between teams to ensure data integrity. Regular audits, cross-functional meetings, and the use of data quality tools are common strategies employed to maintain high standards and support organizational decision-making.

What is a data management analyst?

A data management analyst is responsible for maintaining databases. In this position, your responsibilities are to keep an eye on how secure the data is and look for ways to increase user efficiency when accessing it. For example, you might move the database to an online cloud-based server to free up system resources. A data management analyst has to have a solid grasp of network technology, in addition to familiarity with database and spreadsheet software, to perform the duties of the job.

What are the key skills and qualifications needed to thrive in data management, and why are they important?

To excel in Data Management, you need a strong background in data analysis, database design, and data governance, often supported by a degree in computer science or information systems. Familiarity with database management systems (like SQL, Oracle), data visualization tools, and certifications such as Certified Data Management Professional (CDMP) are highly valued. Attention to detail, problem-solving, and strong organizational skills help professionals ensure data integrity and facilitate effective collaboration. These competencies are crucial for maintaining accurate, secure, and accessible data, which underpins informed business decision-making.

What skills are needed for data management?

Data management professionals need strong analytical skills, attention to detail, and proficiency with database tools such as SQL and Excel. Knowledge of data governance, data quality, and familiarity with data management software are also important for effective data organization and security.

What is data management as a job?

Data management as a job involves organizing, storing, and maintaining data to ensure its accuracy, security, and accessibility. Professionals in this field often work with database tools, data governance policies, and data quality standards to support business operations and decision-making.

What is data management?

Data management is the process of collecting, storing, organizing, and maintaining data in a secure and efficient manner. It ensures that data is accurate, available, and accessible to authorized users when needed. Good data management practices help organizations make informed decisions, comply with regulations, and protect sensitive information. It often involves the use of specialized software, policies, and procedures to handle data throughout its lifecycle.

What is the difference between Data Management vs Data Analyst?

AspectData ManagementData Analyst
Primary FocusOrganizing, storing, and maintaining data integrityAnalyzing data to extract insights and support decision-making
Skills & CertificationsDatabase management, SQL, data governance certificationsStatistical analysis, Excel, data visualization tools
Work EnvironmentData warehouses, IT departments, enterprise systemsBusiness units, analytics teams, consulting firms
Industry UsageUsed across industries for data infrastructureUsed for reporting, forecasting, and strategic analysis

While Data Management focuses on maintaining and organizing data infrastructure, Data Analysts interpret this data to generate insights. Both roles are essential for effective data-driven decision-making but serve different functions within an organization.

More about Data Management jobs

What are the most commonly searched types of Data Management jobs in Minnesota?

The most popular types of Data Management jobs in Minnesota are:

What are popular job titles related to Data Management jobs in Minnesota?

For Data Management jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Data Management jobs in Minnesota look for?

The top searched job categories for Data Management jobs in Minnesota are:

What cities in Minnesota are hiring for Data Management jobs?

Cities in Minnesota with the most Data Management job openings:

Data Management jobs near you
Infographic showing various Data Management job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $95,145 per year, or $45.7 per hour.

Data Management Strategic Planner

Expleo

Saint Paul, MN • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

Job description

Overview
Location: Fully Remote (St. Paul, MN)
Employment Type: Full-TimeExperience Level: Advanced (10+ Years)
Are you passionate about helping organizations unlock the power of data, analytics, and AI? Trissential is hiring a Data Management Strategic Planner to join our client's team in a highly visible, strategic role where you'll help shape data-driven decision-making, advance data management capabilities, and influence enterprise-wide data strategy. If you enjoy bridging business and technology while driving measurable outcomes, this could be the perfect next step in your career
What's in It for You?
  • Strategic Impact - Help define and influence enterprise data management, governance, analytics, and AI initiatives
  • Cross-Functional Leadership - Partner with business leaders, data teams, project managers, analysts, and technical stakeholders across the organization
  • Innovation Exposure - Contribute to initiatives involving analytics, machine learning, natural language processing, data architecture, and decision modeling
  • Remote Flexibility - Enjoy the benefits of a fully remote work environment while collaborating with high-performing teams
  • Thought Leadership Opportunity - Promote data literacy, governance best practices, and data-driven decision-making across the enterprise
  • Professional Growth - Expand your expertise across data management, business strategy, analytics, governance, and emerging technologies

Your Role & Responsibilities
  • Develop and support strategic data management initiatives that align with business goals and enterprise priorities
  • Collaborate with stakeholders to identify opportunities where data, analytics, AI, and automation can create measurable business value
  • Facilitate workshops, discovery sessions, and stakeholder discussions to gather requirements and drive alignment
  • Help establish and promote data governance practices including master data management (MDM), data stewardship, and data quality initiatives
  • Support the creation of business cases that justify investments in data and analytics programs
  • Work closely with project managers to align business expectations, project objectives, and delivery capabilities
  • Partner with business analysts and technical teams to prioritize and evaluate use cases
  • Contribute to decision modeling efforts that improve organizational decision-making and support complex business trade-offs
  • Influence data literacy initiatives through storytelling, presentations, and stakeholder engagement
  • Assist in defining and communicating enterprise data architecture concepts including data warehouses, data lakes, and data hubs
  • Collaborate with design and user experience teams to ensure data products and visualizations are intuitive and effective
  • Present recommendations, insights, and strategic plans to both technical and non-technical audiences

Skills & Experience You Should Possess
  • 10+ years of experience in data management, data strategy, analytics, business intelligence, data governance, or a related field
  • Strong understanding of analytics methodologies, including descriptive, diagnostic, predictive, and prescriptive analytics
  • Knowledge of artificial intelligence concepts including machine learning, graph analytics, and natural language processing
  • Experience with data management disciplines including ETL, metadata management, data integration, and governance frameworks
  • Understanding of enterprise data architecture concepts, including data warehouses, data lakes, and data hubs
  • Knowledge of structured, semi-structured, and unstructured data environments
  • Experience supporting data governance initiatives including MDM, data quality, and stewardship programs
  • Strong statistical knowledge, including understanding correlation versus causation
  • Experience participating in or supporting project delivery initiatives
  • Business case development experience with demonstrated ability to articulate business value
  • Exceptional communication, facilitation, and presentation skills
  • Ability to influence stakeholders and build effective relationships across technical and business teams
  • Strong storytelling skills with the ability to translate complex concepts into clear business narratives
  • Proven collaboration and teamwork experience across multidisciplinary teams

Bonus Points If You Have
  • Experience with SQL, Python, R, or similar programming languages
  • Familiarity with notebooks and analytical development environments such as RStudio
  • Experience with Informatica, Talend, or comparable data integration platforms
  • Hands-on experience with business intelligence tools such as Microsoft Power BI or Tableau
  • Exposure to data science and machine learning platforms including Dataiku, SAS, or IBM Watson Studio
  • Experience supporting enterprise AI and advanced analytics programs
  • Background working within large-scale enterprise data modernization initiatives

Education & Certifications You Need
  • Bachelor's degree in Data Science, Computer Science, Information Systems, Analytics, Business, or a related field
  • Advanced degree preferred
  • Relevant certifications in Data Management, Analytics, Data Governance, Project Management, or Cloud/Data Platforms are highly desirable

What We Offer
At Trissential, we value innovation, collaboration, and the ability to make an impact. When you join our client's team, you'll have the opportunity to work on strategic initiatives that shape the future of data-driven business decision-making.
  • Competitive Compensation - You choose the model that works best for you, both with company-sponsored benefits! $144,000-$154,000 annually or $86-$96 per hour. Final compensation is determined based on skill alignment, years of experience, and fair, market-based rates by geography.
  • Comprehensive Benefits for you and your dependents - Extensive Medical Plans, Dental, Vision, HSA with company contribution, company sponsored Life Insurance and Short / Long term disability insurance, a host of voluntary plans including legal, hospital, accident, pet wellness, and 401k with matching
  • Paid Holidays and Paid Time Off
  • Career Development and Advancement - Expleo is a global company in 29 Countries worldwide with a high focus on development
  • Strong Team Culture - Collaborate with experienced professionals who value precision, performance, and teamwork

This role is only open to candidates who are authorized to work in the United States
Ready to be part of something exciting?
If you're passionate about helping organizations leverage data as a strategic asset and want to influence the future of data management, analytics, and AI, we'd love to hear from you. Apply today and take the next step in your career with Trissential

Apply