Data Science Analyst Visa Sponsorship Jobs in Wisconsin
Data science analyst roles in Wisconsin are concentrated in Milwaukee, Madison, and Green Bay, with employers like Northwestern Mutual, Epic Systems, American Family Insurance, and Fiserv actively hiring for data-intensive positions. The state's financial services, health technology, and insurance sectors drive steady demand, and several employers in these industries have established records of H-1B visa sponsorship for qualified international candidates.
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Get Access To All JobsWe believe power is a promise - a shared commitment to be there for others when it matters most.
For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen businesses and build a more resilient, efficient, sustainable energy future.
Ready to Power a Smarter World with us?
In the role of Data Science Analyst working onsite in Waukesha, Wisconsin you will be part of the Data Analytics and Business Intelligence team.
The Data Science Analyst is responsible for the analysis of structured and unstructured data using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining. The candidate will determine best practices and develop actionable insights and recommendations for the current operations or issues and works closely with the business functional team to identify analytical requirements. The candidate will work on Enterprise data platform and other analytical projects as needed, assist in implementing or developing systems to capture operational information, and may assist less experienced analysts. The candidate must have familiarity with the manipulation of unstructured data in a data analytics environment, and the use of open-source tools, cloud computing, machine learning and data visualization and appropriate, relevant programming languages.
This is not a remote role, the ideal candidate will need to be located in Wisconsin, due to this position being onsite and reporting into our Waukesha Headquarters
Minimum Qualifications:
- Bachelor Degree
- 1 year work experience in Math, Statistics, or Computer Science
Preferred Qualifications:
- Relational database experience & Experience query databases (ex: SQL, MySql).
- Experience with one or more statistical analysis tools (ex: MatLab, MiniTab, SPSS, or R).
- Experience with statistical analysis languages (ex: R, Python, SQL).
- Experience on using the cloud platform (ex Azure, AWS..)
- Experience with building agents using Microsoft CoPilot, and other solution paths
Essential Duties:
- Develop and analyze various data to support Enterprise Transformation initiatives and AI use cases
- Supports data preparation for analytic efforts by cleaning data to ensure quality and accuracy based on provided guidelines; and consolidating data.
- Translating business requirements; informing data/information needs and data collection methods
- Create custom data models & create pipelines and algorithms as needed & produce Data insights
- Assists with data and information gathering for targeted variables in an established systematic fashion by cleaning and organizing data; querying, merging, and extracting data across sources; completing routine data refresh and update; and providing user support and documentation.
- Supporting end-users; and documenting processes and deliverables
- Ongoing reports highlighting the initiative progress and successes.
Knowledge and Skills:
- Ability to write complex SQL queries, data visualization
- Proficiency in database applications and MS Office with excellent Excel skills.
- Requires excellent analytical, organization, project management, communication, presentation and people skills with a variety of audiences, up to and including, the executive level.
- Ability to simplify complex findings to develop unique, practical solutions.
- Able to understand various data structures and common methods in data transformation.
- Excellent pattern recognition and predictive modeling skills.
- Cross/multi-functional understanding of industry, company, and products to enable identification of assumptions and events, and qualification of related risks and opportunities.
- Self-motivated and able to work with minimal direction
Physical Demands: While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion, the incumbent may be required to stoop, bend, or reach above the shoulders. The employee must occasionally lift up to 25 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision, and the ability to adjust focus. Occasional travel.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.
We believe power is a promise - a shared commitment to be there for others when it matters most.
For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen businesses and build a more resilient, efficient, sustainable energy future.
Ready to Power a Smarter World with us?
In the role of Data Science Analyst working onsite in Waukesha, Wisconsin you will be part of the Data Analytics and Business Intelligence team.
The Data Science Analyst is responsible for the analysis of structured and unstructured data using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining. The candidate will determine best practices and develop actionable insights and recommendations for the current operations or issues and works closely with the business functional team to identify analytical requirements. The candidate will work on Enterprise data platform and other analytical projects as needed, assist in implementing or developing systems to capture operational information, and may assist less experienced analysts. The candidate must have familiarity with the manipulation of unstructured data in a data analytics environment, and the use of open-source tools, cloud computing, machine learning and data visualization and appropriate, relevant programming languages.
This is not a remote role, the ideal candidate will need to be located in Wisconsin, due to this position being onsite and reporting into our Waukesha Headquarters
Minimum Qualifications:
- Bachelor Degree
- 1 year work experience in Math, Statistics, or Computer Science
Preferred Qualifications:
- Relational database experience & Experience query databases (ex: SQL, MySql).
- Experience with one or more statistical analysis tools (ex: MatLab, MiniTab, SPSS, or R).
- Experience with statistical analysis languages (ex: R, Python, SQL).
- Experience on using the cloud platform (ex Azure, AWS..)
- Experience with building agents using Microsoft CoPilot, and other solution paths
Essential Duties:
- Develop and analyze various data to support Enterprise Transformation initiatives and AI use cases
- Supports data preparation for analytic efforts by cleaning data to ensure quality and accuracy based on provided guidelines; and consolidating data.
- Translating business requirements; informing data/information needs and data collection methods
- Create custom data models & create pipelines and algorithms as needed & produce Data insights
- Assists with data and information gathering for targeted variables in an established systematic fashion by cleaning and organizing data; querying, merging, and extracting data across sources; completing routine data refresh and update; and providing user support and documentation.
- Supporting end-users; and documenting processes and deliverables
- Ongoing reports highlighting the initiative progress and successes.
Knowledge and Skills:
- Ability to write complex SQL queries, data visualization
- Proficiency in database applications and MS Office with excellent Excel skills.
- Requires excellent analytical, organization, project management, communication, presentation and people skills with a variety of audiences, up to and including, the executive level.
- Ability to simplify complex findings to develop unique, practical solutions.
- Able to understand various data structures and common methods in data transformation.
- Excellent pattern recognition and predictive modeling skills.
- Cross/multi-functional understanding of industry, company, and products to enable identification of assumptions and events, and qualification of related risks and opportunities.
- Self-motivated and able to work with minimal direction
Physical Demands: While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion, the incumbent may be required to stoop, bend, or reach above the shoulders. The employee must occasionally lift up to 25 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision, and the ability to adjust focus. Occasional travel.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Data Science Analyst Job Roles in Wisconsin
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Search Data Science Analyst Jobs in WisconsinData Science Analyst Jobs in Wisconsin: Frequently Asked Questions
Which companies in Wisconsin sponsor visas for data science analysts?
Northwestern Mutual, Fiserv, American Family Insurance, Epic Systems, and ManpowerGroup are among the Wisconsin-based employers with documented H-1B sponsorship activity for data and analytics roles. Large financial services firms and health technology companies in the state tend to have more established immigration infrastructure, making them more likely to support sponsorship than smaller regional employers.
Which visa types are most common for data science analyst roles in Wisconsin?
The H-1B is the most common visa for data science analysts in Wisconsin, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in statistics, computer science, mathematics, or a related field. Candidates already in the U.S. on F-1 OPT or STEM OPT may also work for Wisconsin employers before transitioning to H-1B status through their employer's petition.
Which cities in Wisconsin have the most data science analyst sponsorship jobs?
Milwaukee and Madison account for the majority of data science analyst sponsorship activity in Wisconsin. Milwaukee's concentration of financial services and insurance firms, including Northwestern Mutual and Fiserv, generates consistent demand. Madison benefits from proximity to the University of Wisconsin and a growing technology sector. Green Bay and Appleton have smaller but active employer bases in manufacturing and insurance analytics.
How to find data science analyst visa sponsorship jobs in Wisconsin?
Migrate Mate filters job listings specifically for visa sponsorship, making it straightforward to find data science analyst roles in Wisconsin without sorting through employers who won't sponsor. You can filter by state and role type to see current openings from Wisconsin employers with active sponsorship history. This saves significant time compared to manually researching individual company immigration policies.
Are there any Wisconsin-specific considerations for data science analysts seeking visa sponsorship?
Wisconsin employers filing H-1B petitions for data science analysts must comply with Department of Labor prevailing wage requirements for the Milwaukee, Madison, or relevant metropolitan area, not a national average. The University of Wisconsin system also produces a strong local pipeline of data talent, which means competition for sponsored roles can be meaningful. Candidates with domain expertise in insurance, financial services, or health informatics tend to align best with Wisconsin's primary hiring sectors.
What is the prevailing wage for sponsored data science analyst jobs in Wisconsin?
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.