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Data Analyst Data Governance Jobs in Minnesota (NOW HIRING)

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 ...

... analysis, and remediation * Partner with Engineering and Manufacturing teams to align data ... Provide governance oversight for engineering software licensing data, including data accuracy ...

... analysis, and remediation * Partner with Engineering and Manufacturing teams to align data ... Provide governance oversight for engineering software licensing data, including data accuracy ...

Data Governance- Manager

Minneapolis, MN · On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... The Opportunity As part of the Data Governance team, you will lead the development and ...

Data Governance & Stewardship o Collaborate with data owners and business teams to define data ... Analysis & Reporting o Conduct data profiling and quality assessments on new and existing datasets ...

Data Governance & Stewardship o Collaborate with data owners and business teams to define data ... Analysis & Reporting o Conduct data profiling and quality assessments on new and existing datasets ...

Lead or support breach response efforts, including impact analysis and regulatory notifications as required. Training & Awareness * Develop and deliver privacy and data governance training programs ...

Lead or support breach response efforts, including impact analysis and regulatory notifications as required. Training & Awareness * Develop and deliver privacy and data governance training programs ...

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Data Analyst Data Governance information

What is a data analyst data governance?

Data Analyst Data Governance professionals are specialists who focus on ensuring the quality, security, and compliance of data within an organization. They analyze data sets to identify issues, establish data management policies, and help ensure that data is accurate, accessible, and used ethically. These professionals often collaborate with IT, compliance, and business teams to implement data governance frameworks and standards. Their role is crucial for organizations that rely on data-driven decision-making and need to adhere to regulatory requirements. They help minimize risks associated with poor data management and improve the overall value of organizational data.

How does a data analyst data governance typically collaborate with other departments within an organization?

Data Analysts focused on Data Governance often work closely with IT, compliance, and business units to ensure data quality, consistency, and security. They facilitate communication between technical and non-technical teams, translating data governance policies into actionable processes. Regularly, they participate in cross-functional meetings to identify data issues, recommend improvements, and support data-driven decision-making. This collaborative environment helps ensure that data assets are managed responsibly and align with organizational goals.

What are the key skills and qualifications needed to thrive as a data analyst data governance, and why are they important?

To thrive as a Data Analyst Data Governance, you need expertise in data management, analysis, and a strong understanding of data governance frameworks, often supported by a degree in information systems or related fields. Familiarity with data visualization tools (like Tableau or Power BI), SQL, data quality management systems, and relevant certifications such as DAMA or CDMP is typical. Strong analytical thinking, attention to detail, and effective communication are vital soft skills in this role. These skills ensure that data is accurate, secure, and well-managed, supporting organizational compliance and informed decision-making.

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

AspectData Analyst Data GovernanceData Analyst
Primary FocusData quality, compliance, policies, and governance frameworksData analysis, reporting, and insights generation
Skills & CertificationsData management, data governance tools, SQL, certifications like CDMPData analysis tools, Excel, SQL, visualization skills
Work EnvironmentCollaborates with data governance teams, compliance departmentsWorks across departments to analyze data and create reports
Industry UsageFinance, healthcare, large enterprises with data policiesBroadly used across industries for data insights

While Data Analyst Data Governance focuses on managing data quality and compliance, Data Analysts primarily analyze data to generate insights. Both roles require SQL and data skills, but Data Governance roles emphasize policies and data standards, often within regulated industries.

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

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

What cities in Minnesota are hiring for Data Analyst Data Governance jobs?

Cities in Minnesota with the most Data Analyst Data Governance job openings:

Infographic showing various Data Analyst Data Governance job openings in Minnesota as of June 2026, with employment types broken down into 6% As Needed, 90% Full Time, 2% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Analyst / Data Modeler - Digital Banking

Minneapolis, MN • On-site, Remote

Expleo
IT Services • 10K+ employees

$92 - $102/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

Overview

Location: Minneapolis, MN Preferred (Remote Considered for Exceptional Candidates)

Employment Type: Full-Time

Shape Modern Data Foundations Through Analysis & Modeling

Are you a seasoned Data Modeler who excels at understanding complex business processes, analyzing data, and translating requirements into scalable data solutions? Trissential is partnering with a forward-thinking enterprise client to bring on a Data Analyst / Data Modeler - Digital Banking who will play a key role in supporting data initiatives within a modern Snowflake-based ecosystem.

While data modeling remains an important component of this role, the primary focus will be partnering with business and technology teams to analyze data, support data quality initiatives, document requirements, and ensure data structures effectively support reporting, analytics, and business outcomes.

For the immediate hiring need, we are prioritizing candidates local to the Minneapolis area. However, exceptional remote candidates will also be considered.

What's in It for You?

High-Impact Data Work - Support critical digital banking and enterprise data initiatives that influence strategic business decisions

Business Partnership - Work closely with stakeholders to understand business processes and translate requirements into actionable data solutions

Modern Technology Stack - Leverage Snowflake and cloud-based data platforms in a mature, enterprise-scale environment

Strategic Visibility - Contribute to data decisions that influence reporting, analytics, governance, and operational effectiveness

Balanced Responsibilities - Combine analytical problem-solving with data modeling and governance activities

Career Growth - Expand your expertise across Snowflake, enterprise analytics, data governance, and cloud-based data platforms

Collaborative Culture - Join a team focused on data quality, continuous improvement, and delivering business value

Your Role & Responsibilities

You will:

Analyze business requirements and translate them into scalable data solutions

Partner with business stakeholders, data engineers, architects, and governance teams to support enterprise data initiatives

Perform data profiling, discovery, and quality assessments across multiple data domains

Validate data accuracy and integrity through advanced SQL analysis and testing

Assist with source-to-target mappings and data lineage documentation

Identify data anomalies, investigate root causes, and recommend improvements

Maintain metadata, business definitions, and data dictionaries

Collaborate with governance teams to support naming standards, data quality processes, and metadata management

Participate in design reviews, impact assessments, and change-management activities

Skills & Experience You Should Possess

10+ years of experience in data modeling, data analysis, data management, or related disciplines

Strong experience analyzing complex datasets and translating business requirements into data solutions

Advanced SQL skills for data analysis, validation, and troubleshooting

Experience performing data profiling, data quality analysis, and data validation

Familiarity with metadata management, lineage, and data governance practices

Ability to communicate effectively with both technical and non-technical stakeholders

Strong analytical, problem-solving, and critical-thinking skills

Bonus Points If You Have

Banking, Financial Services, or Digital Banking experience

Python experience for data analysis, profiling, or automation

Experience working with semi-structured data such as JSON

Exposure to data cataloging, metadata management, or governance tools

Experience supporting enterprise cloud data modernization initiatives

Education & Certifications You Need

Bachelor's degree in Computer Science, Information Systems, Data Management, Data Analytics, or a related field

Data modeling, data governance, or analytics certifications are a plus, but not required

What We Offer

At Trissential, we believe great data work happens when talented people are supported, valued, and empowered. When you join our client's team through Trissential, you gain access to meaningful work, professional growth opportunities, and a comprehensive benefits package.

Competitive Compensation - You choose the model that works best for you, both with company-sponsored benefits! $155,000-$165,000 annually or $92-$102 per hour, depending on your skills, experience, and location. 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 - Medical, dental, vision, free tele-health, HSA with company contribution, life and disability insurance, and 401k with matching

Paid Time Off - Both compensation models offer paid time away from work

Career Development and Advancement - Expleo is a global organization operating across 29 countries with a strong focus on professional growth and development

Strong Team Culture - Collaborate with experienced professionals who value partnership, innovation, and continuous learning

This role is only open to individuals who are authorized to work in the United States

Ready to help shape trusted data that drives better business decisions? Apply today and take the next step in your career as a Data Analyst / Data Modeler - Digital Banking with Trissential

Employment Type: OTHER