Analytics Engineer Visa Sponsorship Jobs in Nebraska
Analytics engineer roles in Nebraska are concentrated in Omaha, where financial services firms like Mutual of Omaha, First National Bank, and TD Ameritrade (now part of Charles Schwab) have established data teams that sponsor H-1B visa and other work visas. Lincoln's growing tech sector and the University of Nebraska system also contribute steady demand for analytics talent.
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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
Analytics Engineer Job Roles in Nebraska
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Search Analytics Engineer Jobs in NebraskaAnalytics Engineer Jobs in Nebraska: Frequently Asked Questions
Which companies in Nebraska sponsor visas for analytics engineers?
Omaha-based employers are the most active sponsors for analytics engineer roles in Nebraska. Mutual of Omaha, First National Bank of Omaha, Union Pacific Railroad, and Charles Schwab (following its TD Ameritrade acquisition) have each filed H-1B petitions for data and analytics positions. Healthcare organizations like CHI Health and Nebraska Medicine also maintain data engineering teams that have sponsored visa holders.
What visa types are most common for analytics engineer roles in Nebraska?
The H-1B is the most common visa category for analytics engineers in Nebraska, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. F-1 graduates from the University of Nebraska-Lincoln or Creighton University may work under OPT or STEM OPT before an employer files an H-1B petition. L-1B transfers apply when candidates move from a foreign affiliate of a Nebraska-based employer.
Which cities in Nebraska have the most analytics engineer sponsorship jobs?
Omaha accounts for the large majority of analytics engineer sponsorship activity in Nebraska. Its concentration of financial services, insurance, logistics, and healthcare employers creates consistent demand for data professionals. Lincoln is a secondary market, supported by state government agencies, the University of Nebraska system, and a smaller but growing technology sector. Outside these two cities, sponsorship opportunities are limited.
How to find analytics engineer visa sponsorship jobs in Nebraska?
Migrate Mate filters job listings specifically by visa sponsorship status, making it straightforward to find analytics engineer roles in Nebraska where employers are actively willing to sponsor. Rather than sorting through general postings, you can focus on Omaha and Lincoln employers in finance, insurance, and healthcare who have a documented history of H-1B filings for data and analytics positions. Migrate Mate is built for international candidates navigating exactly this search.
Are there any Nebraska-specific considerations for analytics engineers seeking visa sponsorship?
Nebraska's Department of Labor prevailing wage determinations influence what employers must pay sponsored analytics engineers, and those figures are set at the county level, meaning Omaha and Lincoln rates differ from rural counties. The University of Nebraska-Lincoln produces a steady pipeline of data science graduates, which means entry-level competition is real. Candidates with experience in financial services data infrastructure or healthcare analytics tend to align most closely with Nebraska's dominant sponsoring industries.
What is the prevailing wage for sponsored analytics engineer 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.