Data Consultant Jobs in Minnesota
Data Consultant jobs in Minnesota are concentrated in financial services, healthcare technology, and retail analytics, with demand at every level from junior analysts to senior strategy consultants. The Twin Cities metro anchors most of the hiring, with Rochester and Duluth also generating consistent openings through healthcare and logistics employers. Well-established names such as UnitedHealth Group, Target, and Ameriprise Financial maintain large data practices in the state, and the most in-demand specialties include business intelligence, cloud data architecture, and advanced analytics. Find a role that fits below and apply directly.
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About this role:
Wells Fargo is seeking a Lead Data Product Management Consultant to join the Consumer Data Products (CDP) supporting the Consumer lines of business. CDP is rationalizing and modernizing consumer data across the Consumer data domains (e.g., Branch, Deposits, and Small Business), building next-generation analytic data repositories in the cloud, and developing strategic data capabilities that simplify the analyst and end-user experience. The team also supports adoption of these capabilities and retirement of legacy platforms that are inflexible and expensive to maintain.
This role will serve as a Lead Analyst for the WF Business data product team, initially focused on modernizing field reporting and establishing a trusted, strategic data foundation for banker and relationship manager insights. The work will expand into AI and generative AI enablement, including data and business requirements for banker productivity capabilities such as prioritized outreach, relationship overviews, recommended actions, and other insight-driven experiences.
Learn more about the career areas and lines of business at wellsfargojobs.com.
In this role, you will:
- Support strategic data and reporting capabilities within the CDP portfolio, including discovery, target-state design, story and requirements writing, backlog refinement, hands-on user acceptance testing, demonstrations, and engagement with bankers, relationship managers, reporting teams, and other users to understand needs
- Lead complex, cross-functional initiatives to modernize WF Business field reporting, consolidate fragmented reporting data onto strategic platforms, and plan delivery of trusted data solutions with broad business impact
- Review and analyze complex multi-faceted, larger scale or longer-term data product initiatives that require in-depth evaluation of multiple factors, including intangibles or unprecedented factors to drive data enablement strategies and roadmaps, while adhering to set data governance and standards
- Make decisions in complex and multi-faceted situations requiring solid understanding of data, analytics, and integration needs of line of business partners to inform prioritization, roadmap, and architecture design, that influence and lead broader work team to meet deliverables and drive new initiatives
- Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers across business, reporting, data management, data engineering, architecture, risk, and technology teams to resolve issues, shape solutions, and achieve delivery goals; may lead projects, workstreams, teams, or serve as a peer mentor
- Provide strategic input on use case intake, prioritization, product roadmap definition, report migration sequencing, and readiness for future AI and generative AI capabilities
- Analyze and manage complex datasets with a continuous focus on business definitions, data lineage, quality, reconciliation, controls, and the needs of reporting and AI consumers, while adhering to data governance standards
- Create and maintain product roadmaps, detailed business and data requirements, process and data flows, acceptance criteria, and traceability from source data through reporting and AI-enabled experiences
- Design and maintain innovative data capabilities that improve data availability for field reporting, performance and portfolio insights, analytics, and responsible AI enablement
- Define and execute data validation and reconciliation approaches that confirm reporting accuracy, completeness, stability, and alignment to approved business rules before release
- Partner with AI, analytics, and technology teams to translate business opportunities into well-defined, responsible AI use cases and ensure the underlying data is accurate, explainable, governed, and fit for purpose
- Serve as a strategic liaison between data management, product teams, data engineering, and architecture teams throughout the data product life cycle
- Conduct research to understand industry trends in field reporting, banker productivity, analytics, and responsible AI or generative AI, and translate relevant ideas into practical product opportunities undefined
Required Qualifications:
- 5+ years of data product or data management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
- Knowledge of modern data and analytics ecosystems, with experience in technologies such as Google BigQuery, Teradata, Hadoop, Spark, Power BI, Tableau, Alteryx, or comparable cloud, data, and business intelligence platforms
- Proficiency in SQL
- Experience defining requirements for enterprise reporting modernization, including source-to-target mapping, metric definitions, data lineage, data quality controls, and reconciliation
- Working knowledge of AI and generative AI concepts, including how trusted, governed data supports grounded and explainable AI-enabled experiences; direct AI delivery experience is preferred but not required
- Experience working in an agile scrum framework, including backlog refinement, user stories, acceptance criteria, sprint planning, demonstrations, and user acceptance testing
- Experience leading discovery across business, reporting, analytics, data, and technology stakeholders
- Proficiency with all Microsoft Office applications and the ability to construct PowerPoint presentations for executive communications
- Experience working with data in the financial services industry
- High degree of intellectual curiosity and desire to learn and discover
- Experience developing and publishing content with SharePoint and Confluence
- Excellent writing skills
Job Expectations:
- Ability to travel up to 10% of the time.
- This position offers a hybrid work schedule.
- This position is not eligible for Visa sponsorship.
Posting Location(s):
- 401 S Tryon St. – Charlotte, North Carolina 28202F
- 550 S 4th St - Minneapolis, Minnesota 55415
- 2200 Concord Pike – Wilmington, Delaware 19803
- 401 Las Colinas Blvd. Bldg B – Irving, Texas 752039
- 3075 Loyalty Cir – Columbus, Ohio 43219
Pay Range
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities. $119,000.00 - $206,000.00
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
Posting End Date:
14 Oct 2026- Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
About this role:
Wells Fargo is seeking a Lead Data Product Management Consultant to join the Consumer Data Products (CDP) supporting the Consumer lines of business. CDP is rationalizing and modernizing consumer data across the Consumer data domains (e.g., Branch, Deposits, and Small Business), building next-generation analytic data repositories in the cloud, and developing strategic data capabilities that simplify the analyst and end-user experience. The team also supports adoption of these capabilities and retirement of legacy platforms that are inflexible and expensive to maintain.
This role will serve as a Lead Analyst for the WF Business data product team, initially focused on modernizing field reporting and establishing a trusted, strategic data foundation for banker and relationship manager insights. The work will expand into AI and generative AI enablement, including data and business requirements for banker productivity capabilities such as prioritized outreach, relationship overviews, recommended actions, and other insight-driven experiences.
Learn more about the career areas and lines of business at wellsfargojobs.com.
In this role, you will:
- Support strategic data and reporting capabilities within the CDP portfolio, including discovery, target-state design, story and requirements writing, backlog refinement, hands-on user acceptance testing, demonstrations, and engagement with bankers, relationship managers, reporting teams, and other users to understand needs
- Lead complex, cross-functional initiatives to modernize WF Business field reporting, consolidate fragmented reporting data onto strategic platforms, and plan delivery of trusted data solutions with broad business impact
- Review and analyze complex multi-faceted, larger scale or longer-term data product initiatives that require in-depth evaluation of multiple factors, including intangibles or unprecedented factors to drive data enablement strategies and roadmaps, while adhering to set data governance and standards
- Make decisions in complex and multi-faceted situations requiring solid understanding of data, analytics, and integration needs of line of business partners to inform prioritization, roadmap, and architecture design, that influence and lead broader work team to meet deliverables and drive new initiatives
- Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers across business, reporting, data management, data engineering, architecture, risk, and technology teams to resolve issues, shape solutions, and achieve delivery goals; may lead projects, workstreams, teams, or serve as a peer mentor
- Provide strategic input on use case intake, prioritization, product roadmap definition, report migration sequencing, and readiness for future AI and generative AI capabilities
- Analyze and manage complex datasets with a continuous focus on business definitions, data lineage, quality, reconciliation, controls, and the needs of reporting and AI consumers, while adhering to data governance standards
- Create and maintain product roadmaps, detailed business and data requirements, process and data flows, acceptance criteria, and traceability from source data through reporting and AI-enabled experiences
- Design and maintain innovative data capabilities that improve data availability for field reporting, performance and portfolio insights, analytics, and responsible AI enablement
- Define and execute data validation and reconciliation approaches that confirm reporting accuracy, completeness, stability, and alignment to approved business rules before release
- Partner with AI, analytics, and technology teams to translate business opportunities into well-defined, responsible AI use cases and ensure the underlying data is accurate, explainable, governed, and fit for purpose
- Serve as a strategic liaison between data management, product teams, data engineering, and architecture teams throughout the data product life cycle
- Conduct research to understand industry trends in field reporting, banker productivity, analytics, and responsible AI or generative AI, and translate relevant ideas into practical product opportunities undefined
Required Qualifications:
- 5+ years of data product or data management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
- Knowledge of modern data and analytics ecosystems, with experience in technologies such as Google BigQuery, Teradata, Hadoop, Spark, Power BI, Tableau, Alteryx, or comparable cloud, data, and business intelligence platforms
- Proficiency in SQL
- Experience defining requirements for enterprise reporting modernization, including source-to-target mapping, metric definitions, data lineage, data quality controls, and reconciliation
- Working knowledge of AI and generative AI concepts, including how trusted, governed data supports grounded and explainable AI-enabled experiences; direct AI delivery experience is preferred but not required
- Experience working in an agile scrum framework, including backlog refinement, user stories, acceptance criteria, sprint planning, demonstrations, and user acceptance testing
- Experience leading discovery across business, reporting, analytics, data, and technology stakeholders
- Proficiency with all Microsoft Office applications and the ability to construct PowerPoint presentations for executive communications
- Experience working with data in the financial services industry
- High degree of intellectual curiosity and desire to learn and discover
- Experience developing and publishing content with SharePoint and Confluence
- Excellent writing skills
Job Expectations:
- Ability to travel up to 10% of the time.
- This position offers a hybrid work schedule.
- This position is not eligible for Visa sponsorship.
Posting Location(s):
- 401 S Tryon St. – Charlotte, North Carolina 28202F
- 550 S 4th St - Minneapolis, Minnesota 55415
- 2200 Concord Pike – Wilmington, Delaware 19803
- 401 Las Colinas Blvd. Bldg B – Irving, Texas 752039
- 3075 Loyalty Cir – Columbus, Ohio 43219
Pay Range
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities. $119,000.00 - $206,000.00
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
Posting End Date:
14 Oct 2026- Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
See All 7 Data Consultant Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
Find Data Consultant JobsData Consultant Jobs by City in Minnesota
Where Minnesota roles are concentrated, by current openings.
Data Consultant Job Market in Minnesota
A snapshot from current Minnesota openings, updated as new roles post.
Who's Hiring
What Minnesota Employers Look For
The qualifications that appear most often in data consultant jobs across Minnesota.
- Bachelor's degree in data science, statistics, computer science, or a related quantitative field
- Proficiency in SQL, Python, or R for data extraction, transformation, and analysis
- Experience with business intelligence platforms such as Tableau, Power BI, or Looker
- Demonstrated ability to translate complex data findings into clear business recommendations
- Familiarity with cloud data environments such as AWS, Azure, or Google Cloud Platform
- Strong communication skills for presenting insights to non-technical stakeholders and leadership
Data Consultant Jobs in Minnesota: Frequently Asked Questions
How do you become a data consultant in Minnesota?
Data consultant roles in Minnesota do not require a state-issued license, so the path centers on education and demonstrated technical skill. Most employers expect at least a bachelor's degree in data science, statistics, computer science, or a related field. Certifications in platforms like Tableau, Microsoft Azure, or Google Cloud strengthen a candidacy. Minnesota's large healthcare and financial services employers place particular weight on industry-specific analytics experience alongside core technical competencies.
How much do data consultants make in Minnesota?
Data consultants in Minnesota earn a median of about $128,800 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $65,730 for the lowest 10% to over $179,640 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data consultants in Minnesota?
Employers hiring data consultants in Minnesota right now include Thought Logic Consulting, Wipfli, and Accenture, based on current listings on Migrate Mate as of October 2026. Minnesota's concentration of Fortune 500 headquarters in financial services, retail, and healthcare means many of the state's largest companies run mature in-house data practices with ongoing consultant needs.
Which Minnesota cities have the most data consultant jobs?
Minneapolis and Bloomington have the most data consultant openings in Minnesota. The Twin Cities metro drives the majority of demand, anchored by the headquarters of major retailers, health insurers, and financial firms, while Rochester's openings reflect the deep analytics footprint of its large healthcare institutions and the suburban corridors they support.
Are there remote data consultant jobs in Minnesota?
Yes, and more than most fields. About 100% of data consultant openings tied to Minnesota are remote or hybrid as of October 2026, reflecting the desk-based and analytical nature of the work. Strategy and reporting roles tend to be the most flexible, while positions involving close collaboration with on-site operational teams or proprietary data infrastructure are more likely to require a physical presence.
How can I get hired as a data consultant in Minnesota with little or no experience?
The most realistic entry path is securing an analyst or junior data role within one of Minnesota's large employer ecosystems and transitioning into consulting work as you build a project portfolio. UnitedHealth Group, Target, and Ameriprise Financial regularly hire entry-level data analysts and offer internal rotational or development programs. Adjacent roles such as business analyst, reporting analyst, or data coordinator are common stepping stones. Earning a recognized certification in SQL, Power BI, or a cloud platform gives candidates with limited experience a concrete credential to point to.
Where can I find and apply to data consultant jobs in Minnesota?
You can find and apply to data consultant jobs in Minnesota on Migrate Mate, which lists current Minnesota openings updated in real time. Search the listings to find roles that match your experience and specialization, then apply directly to the ones that fit.
See All 7 Data Consultant Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
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