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Data Migration Analyst Jobs in Minnesota (NOW HIRING)

Damco Solutions

Project Manager

Saint Paul, MN · On-site

... Analyze data sources, formats, and dependencies to identify migration challenges and opportunities. • Plan for change management activities needed to assist partners through the transition from the ...

McBride

Oracle CLM Technical Consultant

Virginia, MN · On-site

$120 - $170/hr

... Analytics . * Database & Workflow Engineering: Write, optimize, and troubleshoot complex PL/SQL packages, custom workflow builder rules, and API-driven integrations. * Data Migration: Plan and ...

Allianz

IT Data Architect Specialist_3003

Minneapolis, MN · On-site

$66.50 - $85.50/hr

The Data & Analytics Platforms Team (DAP) develops and runs central platforms and data products ... Lead the migration of data workloads and data stores from on-premises infrastructure to MS Azure ...

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Data Migration Analyst information

See Minnesota salary details

$33.3K

$80.9K

$133.2K

How much do data migration analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data migration analyst in Minnesota is $80,939.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,200.00 and $95,000.00 per year, depending on experience, location, and employer.

What is a data migration analyst?

A Data Migration Analyst is responsible for planning, managing, and executing the transfer of data between systems, ensuring accuracy, integrity, and security. They analyze data structures, clean and map data, and troubleshoot migration issues. This role requires expertise in databases, ETL processes, and data validation techniques. Additionally, they collaborate with stakeholders to ensure a seamless transition while minimizing data loss or downtime.

What skills and qualifications are needed to be a data migration analyst?

To thrive as a Data Migration Analyst, you need strong analytical skills, attention to detail, a background in data management, and a relevant degree such as computer science or information technology. Proficiency in ETL tools (like Informatica or Talend), experience with SQL databases, and knowledge of data migration frameworks or certifications are often required. Excellent problem-solving abilities, communication skills, and adaptability help set top candidates apart in collaborative and evolving project settings. These competencies are essential for ensuring accurate, efficient, and secure data transitions between systems, which are critical to business operations.

What are common challenges faced by data migration analysts during projects?

Data Migration Analysts often navigate challenges such as data quality issues, legacy system compatibility, and tight project deadlines. They must validate and cleanse large datasets, resolve discrepancies, and ensure the integrity and security of information throughout the migration process. Collaborating closely with IT teams, business stakeholders, and vendors is essential for troubleshooting and alignment on data requirements. Effective project planning and clear communication are key to overcoming obstacles and delivering successful migrations. By anticipating and managing these challenges, Data Migration Analysts help organizations achieve seamless transitions with minimal disruption.

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

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

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

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

Data Migration Analyst jobs near you
Infographic showing various Data Migration Analyst job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $80,939 per year, or $38.9 per hour.

Senior Healthcare Data Modeler

Techvilla Solutions

Crystal Bay, MN • On-site

Full-time

Posted 4 days ago

Job description

Primary Responsibilities
  • Design and implement enterprise data models and data architecture for large, complex healthcare systems.
  • Translate business and technical requirements into scalable data models and end-to-end data solutions.
  • Develop data strategies, roadmaps, and data management solutions supporting analytics and enterprise reporting.
  • Design normalized OLTP, OLAP, MDM, and dimensional models, including Star schemas, SCDs, role-playing dimensions, hierarchies, and data classification.
  • Develop and review complex SQL queries, stored procedures, DDL, DML, and DCL using ANSI standards.
  • Optimize SQL queries and analyze database performance.
  • Define and implement data quality, profiling, governance, security, metadata management, MDM, archival, and migration strategies.
  • Ensure compliance with healthcare data security and privacy requirements, including HIPAA, PHI, and PII.
  • Collaborate with Data Managers, Data Integration Leads, Data Engineers, and business stakeholders.
  • Provide technical leadership, problem-solving, presentations, and recommendations for complex data initiatives.
Required Skills & Qualifications
  • 8+ years of experience in Data Modeling, Data Architecture, or Data Management.
  • 5+ years of hands-on experience with Erwin Data Modeler.
  • 5+ years of experience working with healthcare data and healthcare information systems.
  • Strong experience with Medicaid, Medicare, and Commercial healthcare datasets; Medicaid experience is highly preferred.
  • 7+ years of advanced SQL experience, including complex queries, stored procedures, DDL, DML, DCL, and query optimization.
  • Strong expertise in OLTP, OLAP, MDM, and dimensional data modeling.
  • Experience with Star schemas, Slowly Changing Dimensions (SCD), role-playing dimensions, dimensional hierarchies, and data classification.
  • Strong knowledge of Data Governance, Data Quality, Data Profiling, Data Security, Metadata Management, MDM, Data Archival, and Data Migration.
  • Strong understanding of HIPAA, PHI, PII, and healthcare data privacy/security requirements.
  • Excellent problem-solving, communication, influencing, presentation, and stakeholder management skills.
  • Ability to work independently and take ownership of complex data initiatives.
Preferred Skills
  • Experience with Microsoft Azure data services, including Azure Data Lake Storage, Azure Data Factory, Microsoft Purview, and Azure Maps.
  • Experience with Snowflake.
  • Experience with Power BI or Tableau.
  • Experience designing and implementing large-scale healthcare data warehouse and analytics solutions.

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