Data Analyst Visa Sponsorship Jobs in Nebraska
Data analyst visa sponsorship jobs in Nebraska are concentrated in Omaha and Lincoln, where major employers like Union Pacific, Mutual of Omaha, and the University of Nebraska system have active analytics teams. Nebraska's finance, insurance, logistics, and healthcare sectors drive consistent demand for data professionals seeking H-1B visa and other employer-sponsored visas.
Find Data Analyst JobsOverview
Showing 5 of 42+ Data Analyst Jobs in Nebraska with Visa Sponsorship
See all 42+ Data Analyst Jobs in Nebraska with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analyst Jobs in Nebraska with Visa Sponsorship.
Get Access To All JobsFinancial Planning & Data Analytics AI Manager
- (194583)
At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world?
Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world.
This individual will lead the evolution of financial planning and analysis through advanced analytics, machine learning, artificial intelligence, and data-driven forecasting. This role will maintain ownership of core FP&A reporting, forecasting, and analytics while driving the development of predictive models, automated insights, and AI-enabled decision support tools. The successful candidate will partner closely with Finance, Marketing, and Data & Analytics teams to transform enterprise data into forward-looking business intelligence that improves forecasting accuracy, identifies emerging trends, and supports strategic decision making.
In the role of Financial Planning & Data Analytics AI Manager, we'll count on you to:
- Own reporting for key financial metrics, ensuring data accuracy, consistency, and integrity.
- Design and deploy predictive forecasting models utilizing machine learning techniques.
- Build forecasting solutions leveraging internal and external data sources.
- Evaluate and implement AI tools that improve financial planning and business decision-making.
- Champion innovation and continuous improvement in Finance processes.
- Stay current on emerging AI and analytics technologies and recommend practical business applications.
- Lead development and enhancement of Power BI dashboards and enterprise analytics solutions.
- Effectively communicate complex analytical findings to executive and non-technical audiences.
- Collaborate with cross-functional teams across Finance, Operations, Marketing, and Data & Analytics.
- Special projects as assigned by supervisor, Director of Financial Planning and Analysis, Chief Financial Officer and/or others.
PREFERRED QUALIFICATIONS
- Experience developing predictive models or machine learning solutions.
- Knowledge of Python, SQL, Snowflake, or similar analytics platforms.
- Strong analytical and problem-solving skills.
- Experience working with large, complex datasets.
- Excellent communication and presentation skills.
- Experience applying AI, machine learning, or advanced statistical techniques in a business environment.
- Experience with generative AI technologies, Microsoft Copilot, or similar platforms.
- Advanced proficiency in Power BI, Excel, and data visualization.
- Experience with financial forecasting, budgeting, and business performance analysis.
REQUIRED QUALIFICATIONS
- Bachelor's degree in accounting, finance, business analytics, mathematics, economics or applicable field.
- A minimum of 8 years of experience in a large organization serving in a finance or accounting role.
- Excellent written and verbal communication skills are critical as this role will present analysis and interact directly with Senior Executives and all levels of management.
- Must be able to present financial information to finance and non-financial users in a succinct and easily understandable manner.
- This individual must excel at "telling the story" of the financials and key performance indicators.
- Strong leadership skills and ability to bring a cohesive approach to processes in a matrix organizational structure.
- Must demonstrate critical thinking and problem-solving skills. Willing to dig into the details of the data.
- Ideal candidate is highly organized and detailed oriented, questions the status quo and is always seeking process improvement and efficiencies in reporting to deliver timely, quality and accurate management reporting.
- Expert in Microsoft Excel and PowerPoint.
What We Believe
HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve.
Our Commitment
As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day.
Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.
PRIMARY LOCATION:
United States-Nebraska-Omaha
INDUSTRY:
Corporate/Support Services
SCHEDULE:
Full-time
EMPLOYEE STATUS:
Regular
BUSINESS CLASS:
Marketing and Admin
JOB POSTING:
Jul 27, 2026
Financial Planning & Data Analytics AI Manager
- (194583)
At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world?
Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world.
This individual will lead the evolution of financial planning and analysis through advanced analytics, machine learning, artificial intelligence, and data-driven forecasting. This role will maintain ownership of core FP&A reporting, forecasting, and analytics while driving the development of predictive models, automated insights, and AI-enabled decision support tools. The successful candidate will partner closely with Finance, Marketing, and Data & Analytics teams to transform enterprise data into forward-looking business intelligence that improves forecasting accuracy, identifies emerging trends, and supports strategic decision making.
In the role of Financial Planning & Data Analytics AI Manager, we'll count on you to:
- Own reporting for key financial metrics, ensuring data accuracy, consistency, and integrity.
- Design and deploy predictive forecasting models utilizing machine learning techniques.
- Build forecasting solutions leveraging internal and external data sources.
- Evaluate and implement AI tools that improve financial planning and business decision-making.
- Champion innovation and continuous improvement in Finance processes.
- Stay current on emerging AI and analytics technologies and recommend practical business applications.
- Lead development and enhancement of Power BI dashboards and enterprise analytics solutions.
- Effectively communicate complex analytical findings to executive and non-technical audiences.
- Collaborate with cross-functional teams across Finance, Operations, Marketing, and Data & Analytics.
- Special projects as assigned by supervisor, Director of Financial Planning and Analysis, Chief Financial Officer and/or others.
PREFERRED QUALIFICATIONS
- Experience developing predictive models or machine learning solutions.
- Knowledge of Python, SQL, Snowflake, or similar analytics platforms.
- Strong analytical and problem-solving skills.
- Experience working with large, complex datasets.
- Excellent communication and presentation skills.
- Experience applying AI, machine learning, or advanced statistical techniques in a business environment.
- Experience with generative AI technologies, Microsoft Copilot, or similar platforms.
- Advanced proficiency in Power BI, Excel, and data visualization.
- Experience with financial forecasting, budgeting, and business performance analysis.
REQUIRED QUALIFICATIONS
- Bachelor's degree in accounting, finance, business analytics, mathematics, economics or applicable field.
- A minimum of 8 years of experience in a large organization serving in a finance or accounting role.
- Excellent written and verbal communication skills are critical as this role will present analysis and interact directly with Senior Executives and all levels of management.
- Must be able to present financial information to finance and non-financial users in a succinct and easily understandable manner.
- This individual must excel at "telling the story" of the financials and key performance indicators.
- Strong leadership skills and ability to bring a cohesive approach to processes in a matrix organizational structure.
- Must demonstrate critical thinking and problem-solving skills. Willing to dig into the details of the data.
- Ideal candidate is highly organized and detailed oriented, questions the status quo and is always seeking process improvement and efficiencies in reporting to deliver timely, quality and accurate management reporting.
- Expert in Microsoft Excel and PowerPoint.
What We Believe
HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve.
Our Commitment
As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day.
Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.
PRIMARY LOCATION:
United States-Nebraska-Omaha
INDUSTRY:
Corporate/Support Services
SCHEDULE:
Full-time
EMPLOYEE STATUS:
Regular
BUSINESS CLASS:
Marketing and Admin
JOB POSTING:
Jul 27, 2026
Data Analyst Job Roles in Nebraska
See all 42+ Data Analyst Jobs in Nebraska
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Data Analyst Jobs in NebraskaData Analyst Jobs in Nebraska: Frequently Asked Questions
Which companies in Nebraska sponsor visas for data analysts?
Omaha-based employers are the most active sponsors for data analyst roles in Nebraska. Union Pacific Railroad, Mutual of Omaha, First National Bank of Omaha, and Sandhills Global have filed H-1B Labor Condition Applications for analytics positions in recent years. In Lincoln, the University of Nebraska system and Nebraska Public Power District also appear in federal sponsorship records for data-focused roles.
Which visa types are most common for data analyst roles in Nebraska?
The H-1B is the most common visa for data analyst positions in Nebraska, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a directly related field such as statistics, computer science, or mathematics. Some candidates already holding F-1 OPT or STEM OPT authorization also fill these positions before transitioning to employer-sponsored status.
Which cities in Nebraska have the most data analyst visa sponsorship jobs?
Omaha accounts for the large majority of data analyst sponsorship activity in Nebraska, driven by its concentration of Fortune 500 companies, financial institutions, and logistics firms. Lincoln is the secondary market, supported by state government agencies, the University of Nebraska, and a growing tech sector. Smaller markets like Kearney or Grand Island have very limited sponsorship activity for this role.
How to find data analyst visa sponsorship jobs in Nebraska?
Migrate Mate is built specifically for international job seekers and filters data analyst roles in Nebraska by visa sponsorship eligibility, saving you the time of screening out employers who don't sponsor. Because Nebraska's sponsorship activity is concentrated among a smaller set of established employers in Omaha and Lincoln, using a focused tool like Migrate Mate helps you avoid roles where sponsorship is unlikely.
Are there any Nebraska-specific factors data analysts should know before pursuing sponsorship?
Nebraska's data analyst market is heavily weighted toward finance, insurance, and transportation industries, so candidates with domain experience in those sectors tend to see stronger interest from local employers. The University of Nebraska's computer science and statistics programs also create a local graduate pipeline, meaning employers sometimes have established processes for sponsoring recent graduates already familiar with their industry.
What is the prevailing wage for sponsored data analyst jobs in Nebraska?
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.