Data Analytics Engineer Visa Sponsorship Jobs in Minnesota
Minnesota's data analytics engineer market is anchored by employers like Target, UnitedHealth Group, and Best Buy, all headquartered in the Twin Cities and known for active visa sponsorship programs. Minneapolis and St. Paul hold the bulk of opportunities, with a growing presence in Rochester tied to Mayo Clinic's data infrastructure work.
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Get Access To All JobsCOMPANY OVERVIEW
We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.
Senior Manager, Syndicated Data & Analytics, Business Performance Analytics
Join the Insights & Analytics organization as Senior Manager, Syndicated Data & Analytics, Business Performance Analytics (BPA).
This enterprise-facing role owns the North America (NAR) syndicated data strategy and its role in the OMNI data foundation. The position sets the standards, reporting roadmap, and diagnostic capabilities that create a trusted, consistent view of performance across General Mills.
The Senior Manager connects data governance and omnichannel reporting to business-unit performance management and enterprise decision-making. Success requires deep syndicated-data expertise, strong business judgment, and the ability to lead through influence, translate complexity into action, and shape executive-ready recommendations.
Full-time; Minneapolis, MN preferred. Remote may be considered for the right candidate.
Key leadership capabilities
- Enterprise data stewardship: Establishes trusted data foundations through clear definitions, fit-for-purpose methodologies, governance, and appropriate-use principles.
- Performance measurement leadership: Sets common KPIs, reporting standards, and analytic approaches that improve consistency across NAR and enterprise forums.
- Diagnostic and strategic thinking: Integrates syndicated data with business signals to identify performance drivers and frame implications for leaders.
- Executive communication and influence: Creates alignment across functions and turns complex data and business questions into concise, decision-ready narratives.
- Transformation and capability building: Advances reporting capabilities, enables responsible use of AI and emerging analytics, and strengthens how teams use syndicated data.
Key accountabilities - Own syndicated data strategy and governance
Set the vision for NAR syndicated data and its role in the OMNI data foundation. Establish and continuously improve data quality standards, business definitions, analytic methodologies, and appropriate-use principles. Serve as the senior subject matter expert on data sources, measures, interpretation, and application, partnering with Data & Technology and Advanced Analytics to ensure scalable, well-governed solutions.
Build a common NAR performance view
Define the roadmap for next-generation NAR omnichannel reporting in partnership with Business Performance Analytics, Data & Technology, Advanced Analytics, and eCommerce reporting. Lead the evolution of Weekly NAR Leadership performance delivery, aligned KPIs, reporting standards, and the reporting toolkit—including advanced and AI-enabled analytics capabilities.
Enable enterprise decisions through trusted diagnostics
Lead objective, NAR-wide diagnostics for high-priority business questions. Combine syndicated market data with internal performance, customer and retailer signals, and other relevant inputs to clarify what is happening, why it is happening, and what actions should be considered. Provide credible, data-driven narratives for enterprise leaders, including Corporate Strategy and Investor Relations in preparation for executive meetings (i.e. Board of Directors, CAGNY).
Drive alignment, adoption, and external partnerships
Lead through influence across Business Units, Insights & Analytics and Capability teams to align stakeholders around analytic approaches, governance expectations, reporting priorities, and data interpretation.
Build analytic capability and strengthen the team
Develop principles, training, and tools that improve how teams use, interpret, and communicate syndicated data. Coach analytics professionals and business partners in diagnostic thinking, appropriate data use, and executive storytelling while contributing to an inclusive, high-performance culture.
Role impact
This role creates the reliable, common view of performance that NAR and enterprise leaders need to align faster, diagnose issues objectively, and make better-informed decisions. By connecting data foundations to business action, the Senior Manager improves the quality, speed, and impact of performance management across General Mills.
Minimum qualifications
- 9+ years of experience in business performance analytics, syndicated market or category analytics, data strategy, or related roles within CPG, retail, or a related industry.
- Deep expertise analyzing syndicated market data, such as NielsenIQ, Circana, Numerator, or comparable sources.
- Experience establishing data governance, business definitions, analytic methodologies, common KPIs, reporting standards, or enterprise reporting capabilities.
- Experience integrating syndicated data with financial, retailer, customer, eCommerce, or other business-performance data.
- Demonstrated ability to lead objective diagnostics and translate complex data into clear, actionable, executive-ready recommendations.
- Proven ability to influence and collaborate across Business Units, Central Capability teams, Finance, and external partners.
- Strong business judgment, deductive reasoning, problem-solving, written communication, and executive presentation skills.
- Ability to work independently and collaboratively in a complex organization with curiosity, initiative, and accountability.
Preferred qualifications
- MBA or master’s degree in Marketing, Market Research, Statistics, Data Analytics, Business, or a related field.
- Experience leading omnichannel reporting, enterprise KPI standardization, AI-enabled analytics, or conversational analytics capabilities.
- Experience supporting enterprise leadership forums, Board of Directors materials, Investor Relations communications, CAGNY, or investor conference preparation.
- Experience across multi-category portfolios within a large CPG or retail organization.
- Experience managing syndicated-data providers, data vendors, or strategic external partners.
- Experience leading, mentoring, or developing analytics professionals and cross-functional teams.
SALARY RANGE
The salary range for this position is:
$128,900 - $193,400 Annual
At General Mills we strive for each employee's pay at any point in their career to reflect their experiences performance and skills for their current role. The salary range for this role represents the numerous factors considered in the hiring decisions including, but not limited to, educations, skills, work experience, certifications, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range.
Beyond base salary, General Mills offers a competitive Total Rewards package focusing on your overall well-being. We are proud to offer a foundation of health benefits, retirement and financial wellbeing, time off programs, wellbeing support and perks. Benefits may vary by role, country, region, union status, and other employment status factors. You may also be eligible to participate in an annual incentive program. An incentive award, if any, depends on various factors, including, individual and organizational performance.
ELIGIBILITY
Applicants must meet a minimum 18-year age qualification.
EQUAL OPPORTUNITY EMPLOYER (EOE)
General Mills is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, marital or familial status, status regarding public assistance, or membership or activity in a local human rights commission.
REASONABLE ACCOMMODATION REQUEST
If you need to request an accommodation during the application or hiring process, please fill out our online accommodation request form by following this link: Accommodation Request.
COMPANY OVERVIEW
We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.
Senior Manager, Syndicated Data & Analytics, Business Performance Analytics
Join the Insights & Analytics organization as Senior Manager, Syndicated Data & Analytics, Business Performance Analytics (BPA).
This enterprise-facing role owns the North America (NAR) syndicated data strategy and its role in the OMNI data foundation. The position sets the standards, reporting roadmap, and diagnostic capabilities that create a trusted, consistent view of performance across General Mills.
The Senior Manager connects data governance and omnichannel reporting to business-unit performance management and enterprise decision-making. Success requires deep syndicated-data expertise, strong business judgment, and the ability to lead through influence, translate complexity into action, and shape executive-ready recommendations.
Full-time; Minneapolis, MN preferred. Remote may be considered for the right candidate.
Key leadership capabilities
- Enterprise data stewardship: Establishes trusted data foundations through clear definitions, fit-for-purpose methodologies, governance, and appropriate-use principles.
- Performance measurement leadership: Sets common KPIs, reporting standards, and analytic approaches that improve consistency across NAR and enterprise forums.
- Diagnostic and strategic thinking: Integrates syndicated data with business signals to identify performance drivers and frame implications for leaders.
- Executive communication and influence: Creates alignment across functions and turns complex data and business questions into concise, decision-ready narratives.
- Transformation and capability building: Advances reporting capabilities, enables responsible use of AI and emerging analytics, and strengthens how teams use syndicated data.
Key accountabilities - Own syndicated data strategy and governance
Set the vision for NAR syndicated data and its role in the OMNI data foundation. Establish and continuously improve data quality standards, business definitions, analytic methodologies, and appropriate-use principles. Serve as the senior subject matter expert on data sources, measures, interpretation, and application, partnering with Data & Technology and Advanced Analytics to ensure scalable, well-governed solutions.
Build a common NAR performance view
Define the roadmap for next-generation NAR omnichannel reporting in partnership with Business Performance Analytics, Data & Technology, Advanced Analytics, and eCommerce reporting. Lead the evolution of Weekly NAR Leadership performance delivery, aligned KPIs, reporting standards, and the reporting toolkit—including advanced and AI-enabled analytics capabilities.
Enable enterprise decisions through trusted diagnostics
Lead objective, NAR-wide diagnostics for high-priority business questions. Combine syndicated market data with internal performance, customer and retailer signals, and other relevant inputs to clarify what is happening, why it is happening, and what actions should be considered. Provide credible, data-driven narratives for enterprise leaders, including Corporate Strategy and Investor Relations in preparation for executive meetings (i.e. Board of Directors, CAGNY).
Drive alignment, adoption, and external partnerships
Lead through influence across Business Units, Insights & Analytics and Capability teams to align stakeholders around analytic approaches, governance expectations, reporting priorities, and data interpretation.
Build analytic capability and strengthen the team
Develop principles, training, and tools that improve how teams use, interpret, and communicate syndicated data. Coach analytics professionals and business partners in diagnostic thinking, appropriate data use, and executive storytelling while contributing to an inclusive, high-performance culture.
Role impact
This role creates the reliable, common view of performance that NAR and enterprise leaders need to align faster, diagnose issues objectively, and make better-informed decisions. By connecting data foundations to business action, the Senior Manager improves the quality, speed, and impact of performance management across General Mills.
Minimum qualifications
- 9+ years of experience in business performance analytics, syndicated market or category analytics, data strategy, or related roles within CPG, retail, or a related industry.
- Deep expertise analyzing syndicated market data, such as NielsenIQ, Circana, Numerator, or comparable sources.
- Experience establishing data governance, business definitions, analytic methodologies, common KPIs, reporting standards, or enterprise reporting capabilities.
- Experience integrating syndicated data with financial, retailer, customer, eCommerce, or other business-performance data.
- Demonstrated ability to lead objective diagnostics and translate complex data into clear, actionable, executive-ready recommendations.
- Proven ability to influence and collaborate across Business Units, Central Capability teams, Finance, and external partners.
- Strong business judgment, deductive reasoning, problem-solving, written communication, and executive presentation skills.
- Ability to work independently and collaboratively in a complex organization with curiosity, initiative, and accountability.
Preferred qualifications
- MBA or master’s degree in Marketing, Market Research, Statistics, Data Analytics, Business, or a related field.
- Experience leading omnichannel reporting, enterprise KPI standardization, AI-enabled analytics, or conversational analytics capabilities.
- Experience supporting enterprise leadership forums, Board of Directors materials, Investor Relations communications, CAGNY, or investor conference preparation.
- Experience across multi-category portfolios within a large CPG or retail organization.
- Experience managing syndicated-data providers, data vendors, or strategic external partners.
- Experience leading, mentoring, or developing analytics professionals and cross-functional teams.
SALARY RANGE
The salary range for this position is:
$128,900 - $193,400 Annual
At General Mills we strive for each employee's pay at any point in their career to reflect their experiences performance and skills for their current role. The salary range for this role represents the numerous factors considered in the hiring decisions including, but not limited to, educations, skills, work experience, certifications, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range.
Beyond base salary, General Mills offers a competitive Total Rewards package focusing on your overall well-being. We are proud to offer a foundation of health benefits, retirement and financial wellbeing, time off programs, wellbeing support and perks. Benefits may vary by role, country, region, union status, and other employment status factors. You may also be eligible to participate in an annual incentive program. An incentive award, if any, depends on various factors, including, individual and organizational performance.
ELIGIBILITY
Applicants must meet a minimum 18-year age qualification.
EQUAL OPPORTUNITY EMPLOYER (EOE)
General Mills is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, marital or familial status, status regarding public assistance, or membership or activity in a local human rights commission.
REASONABLE ACCOMMODATION REQUEST
If you need to request an accommodation during the application or hiring process, please fill out our online accommodation request form by following this link: Accommodation Request.
Data Analytics Engineer Job Roles in Minnesota
See all 62+ Data Analytics Engineer Jobs in Minnesota
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Search Data Analytics Engineer Jobs in MinnesotaData Analytics Engineer Jobs in Minnesota: Frequently Asked Questions
Which companies sponsor visas for data analytics engineers in Minnesota?
Target, UnitedHealth Group, Best Buy, and Mayo Clinic are among the most active visa sponsors for data analytics engineers in Minnesota. These employers have well-established H-1B visa sponsorship programs and regularly file Labor Condition Applications for analytics roles. Mid-size technology and healthcare analytics firms in the Twin Cities metro also sponsor regularly, though at lower volumes than the large enterprises.
Which visa types are most common for data analytics engineer roles in Minnesota?
The H-1B visa is the most common pathway for data analytics engineers in Minnesota, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, or a related field. Candidates already in the U.S. on F-1 OPT or STEM OPT extension can work before H-1B sponsorship begins. The O-1A is an option for candidates with documented exceptional achievements in data or engineering.
Which cities in Minnesota have the most data analytics engineer sponsorship jobs?
Minneapolis and St. Paul account for the overwhelming majority of data analytics engineer sponsorship jobs in Minnesota. The Twin Cities metro is home to the state's largest corporate headquarters and technology operations. Rochester is a secondary hub, driven primarily by Mayo Clinic's substantial data and analytics teams. Remote-friendly roles based out of Minnesota employers occasionally allow flexibility on location within the state.
How to find data analytics engineer visa sponsorship jobs in Minnesota?
Migrate Mate filters job listings specifically for visa sponsorship eligibility, so you can browse data analytics engineer openings in Minnesota without sifting through roles that won't consider international candidates. The platform aggregates positions from employers with documented H-1B filing histories, which is especially useful for targeting known sponsors like Target and UnitedHealth Group in the Twin Cities.
Are there any Minnesota-specific considerations for data analytics engineers seeking visa sponsorship?
Minnesota's prevailing wage requirements for H-1B data analytics engineer roles are set at the metro-area level, meaning Twin Cities-based positions generally reflect higher wage floors than roles in smaller markets. The University of Minnesota and other local institutions produce a steady pipeline of data graduates, which shapes employer familiarity with OPT-to-H-1B transitions. Healthcare and retail analytics are the dominant industries, so domain experience in either sector strengthens candidacy with Minnesota's largest sponsors.
What is the prevailing wage for sponsored data analytics engineer jobs in Minnesota?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.