Data Analytics Engineer Visa Sponsorship Jobs in Nebraska
Nebraska's data analytics engineer job market is anchored by Omaha's growing financial services and insurance sector, with major employers like Mutual of Omaha, First National Bank, and PayPal's Omaha operations actively hiring technical talent. Lincoln's university ecosystem and emerging tech firms add further opportunities, and several of these employers have established H-1B visa sponsorship track records for analytics engineering roles.
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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
Data Analytics Engineer Job Roles in Nebraska
See all 42+ Data Analytics Engineer Jobs in Nebraska
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Search Data Analytics Engineer Jobs in NebraskaData Analytics Engineer Jobs in Nebraska: Frequently Asked Questions
Which companies in Nebraska sponsor visas for data analytics engineers?
Omaha-based employers with documented H-1B sponsorship histories for data and analytics roles include Mutual of Omaha, First National Bank of Omaha, TD Ameritrade (now part of Charles Schwab), and PayPal. Larger healthcare systems like Nebraska Medicine and CHI Health also sponsor technical roles. Sponsorship availability varies by role, team, and hiring cycle, so confirming with each employer directly is important.
Which visa types are most common for data analytics engineer roles in Nebraska?
The H-1B is the most common visa category for data analytics engineer positions 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. Candidates already on F-1 OPT or STEM OPT may work while an employer pursues H-1B sponsorship. The O-1A is an option for those with demonstrated exceptional ability in their field.
Which cities in Nebraska have the most data analytics engineer sponsorship jobs?
Omaha accounts for the clear majority of data analytics engineer sponsorship opportunities in Nebraska, driven by its concentration of financial services, insurance, and healthcare employers. Lincoln has a smaller but active market, supported by the University of Nebraska system and state government technology initiatives. Outside these two cities, sponsorship opportunities are limited, making Omaha the primary target for international candidates in this role.
How to find data analytics engineer visa sponsorship jobs in Nebraska?
Migrate Mate filters job listings specifically for roles with active visa sponsorship, making it easier to identify data analytics engineer positions in Nebraska without sorting through employers who don't sponsor. You can search by role and state to surface opportunities at Omaha-based financial firms, healthcare systems, and technology companies. Focusing on larger, established employers tends to yield more reliable sponsorship outcomes for analytics engineering candidates.
What should data analytics engineer candidates know about Nebraska's hiring market before applying?
Nebraska's data analytics engineering market skews heavily toward financial services, insurance, and healthcare, so candidates with domain experience in those industries have a stronger position. The University of Nebraska at Omaha and University of Nebraska-Lincoln produce a steady pipeline of local graduates, meaning international candidates benefit from emphasizing specialized skills in tools like dbt, Spark, or cloud data platforms. Prevailing wage requirements under H-1B rules apply statewide, and employers must meet Department of Labor wage thresholds for the Omaha and Lincoln metro areas respectively.
What is the prevailing wage for sponsored data 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.