Data Science Analyst Visa Sponsorship Jobs in Minnesota
Minnesota's data science analyst job market is anchored by major employers like UnitedHealth Group, Target, Best Buy, and 3M, with hiring concentrated in the Twin Cities metro. Financial services, retail analytics, and healthcare data roles drive consistent visa sponsorship activity, making the state a strong destination for international data professionals.
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Get Access To All JobsINTRODUCTION
The future is what you make it.
When you join Honeywell, you become a member of our global team of thinkers, innovators, dreamers, and doers who make the things that make the future. That means changing the way we fly, fueling jets in an eco-friendly way, keeping buildings smart and safe and even making it possible to breathe on Mars. Working at Honeywell isn't just about developing cool things. That's why all our employees enjoy access to dynamic career opportunities across different fields and industries.
Are you ready to help us make the future?
ROLE AND RESPONSIBILITIES
The finance data and analytics team are responsible for supporting the implementation of finance data models for Honeywell’s enterprise data warehouse and delivering end-user tools and analytics to support business decisions, while also driving change management across finance and business customers.
As a Finance Data Analyst I at Honeywell, you will play a crucial role in transforming data into actionable insights that drive business decisions. Your responsibilities will include collecting, analyzing, and interpreting complex data sets to support various business functions and initiatives.
You will report directly to our Sr Director and you will work out of our Phoenix, AZ or Minneapolis, MN location on a hybrid work schedule. Please note, all new hires will be required to work fully onsite for the first 90 days.
Key responsibilities:
- Drive the adoption of analytics culture and data-driven decision-making, promoting consumer-driven analytics, and enhance the visibility of data and analytics by providing clear data stories and spreading them across the organization.
- Create, prototype, modify, test, and deploy reports to production while working closely with the end users.
- Understand data needs and translate user requirements into technical requirements.
- Analyze requests for data needs and prioritize project and ad-hoc efforts.
- Support cross-functional projects using advanced data modeling and analysis techniques to discover insights, guide business decisions, and identify optimization opportunities.
- Build, develop, and maintain data models, reporting systems, data automation systems, dashboards, technical processes, and performance metrics that support key business decisions.
- Partner with Finance and Non-Finance Leadership/stakeholders to define key analytics requirements, assess business impact, resolve cross-functional issues, and manage project challenges by escalating when necessary.
- Examine, interpret, and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing, and product teams.
- Support change management initiatives and anticipate future demands within Finance, including people, technology, budget, and business needs.
BASIC QUALIFICATIONS
- Travel less than 10%
INTRODUCTION
The future is what you make it.
When you join Honeywell, you become a member of our global team of thinkers, innovators, dreamers, and doers who make the things that make the future. That means changing the way we fly, fueling jets in an eco-friendly way, keeping buildings smart and safe and even making it possible to breathe on Mars. Working at Honeywell isn't just about developing cool things. That's why all our employees enjoy access to dynamic career opportunities across different fields and industries.
Are you ready to help us make the future?
ROLE AND RESPONSIBILITIES
The finance data and analytics team are responsible for supporting the implementation of finance data models for Honeywell’s enterprise data warehouse and delivering end-user tools and analytics to support business decisions, while also driving change management across finance and business customers.
As a Finance Data Analyst I at Honeywell, you will play a crucial role in transforming data into actionable insights that drive business decisions. Your responsibilities will include collecting, analyzing, and interpreting complex data sets to support various business functions and initiatives.
You will report directly to our Sr Director and you will work out of our Phoenix, AZ or Minneapolis, MN location on a hybrid work schedule. Please note, all new hires will be required to work fully onsite for the first 90 days.
Key responsibilities:
- Drive the adoption of analytics culture and data-driven decision-making, promoting consumer-driven analytics, and enhance the visibility of data and analytics by providing clear data stories and spreading them across the organization.
- Create, prototype, modify, test, and deploy reports to production while working closely with the end users.
- Understand data needs and translate user requirements into technical requirements.
- Analyze requests for data needs and prioritize project and ad-hoc efforts.
- Support cross-functional projects using advanced data modeling and analysis techniques to discover insights, guide business decisions, and identify optimization opportunities.
- Build, develop, and maintain data models, reporting systems, data automation systems, dashboards, technical processes, and performance metrics that support key business decisions.
- Partner with Finance and Non-Finance Leadership/stakeholders to define key analytics requirements, assess business impact, resolve cross-functional issues, and manage project challenges by escalating when necessary.
- Examine, interpret, and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing, and product teams.
- Support change management initiatives and anticipate future demands within Finance, including people, technology, budget, and business needs.
BASIC QUALIFICATIONS
- Travel less than 10%
Data Science Analyst Job Roles in Minnesota
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Search Data Science Analyst Jobs in MinnesotaData Science Analyst Jobs in Minnesota: Frequently Asked Questions
Which companies sponsor visas for data science analysts in Minnesota?
The most active visa sponsors for data science analysts in Minnesota include UnitedHealth Group, Target, Best Buy, 3M, U.S. Bancorp, and Optum. These organizations regularly file H-1B Labor Condition Applications for data analyst and data science roles. Large healthcare and retail technology firms in the Twin Cities metro account for the majority of sponsorship activity in this field.
Which visa types are most common for data science analyst roles in Minnesota?
The H-1B visa is the most common pathway for data science analysts in Minnesota, as the role typically requires a bachelor's degree or higher in a field like statistics, computer science, or mathematics, qualifying it as a specialty occupation. Candidates already in the U.S. on F-1 OPT or STEM OPT extensions frequently transition to H-1B sponsorship through Minnesota employers in healthcare and retail tech.
Which cities in Minnesota have the most data science analyst sponsorship jobs?
Minneapolis and St. Paul together form the dominant hub for data science analyst sponsorship jobs in Minnesota. Minnetonka and Eden Prairie also see activity, largely due to UnitedHealth Group and Optum campuses located there. Rochester has a smaller but growing presence driven by Mayo Clinic's data and analytics teams. The vast majority of sponsored roles are concentrated within the Twin Cities metropolitan area.
How to find data science analyst visa sponsorship jobs in Minnesota?
Migrate Mate is a job board built specifically for international candidates seeking visa sponsorship, including data science analyst roles in Minnesota. You can filter by state and job category to surface employers actively sponsoring in the Twin Cities and broader Minnesota market. This saves significant time compared to manually screening generic job listings for sponsorship eligibility.
Are there state-specific factors that affect visa sponsorship for data science analysts in Minnesota?
Minnesota's concentration of large enterprise employers in healthcare, financial services, and retail means data science analyst roles here often fall under well-established sponsorship programs with dedicated HR and immigration teams. The University of Minnesota and other state institutions also create a steady pipeline of international graduates who pursue local sponsorship. Employers filing H-1B petitions must meet Department of Labor prevailing wage requirements specific to the Minneapolis-St. Paul metropolitan statistical area.
What is the prevailing wage for sponsored data science analyst 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.
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