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Data Analysis Manager Jobs in Nebraska (NOW HIRING)

D&G Solutions

Data Analyst - Journeyman

Bellevue, NE · On-site

... management, and in-depth analysis of large, complex datasets. • Demonstrated ability to lead projects. • Expertise in the following: Python, R, Business Intelligence tools and data cleaning and ...

Leidos

Data Analyst

Omaha, NE

... management, analysis, and visualization of complex data at Offutt Air Force Base. This position is responsible for transforming large and diverse datasets into actionable insights that inform senior ...

Leidos

Data Analyst

Omaha, NE · On-site

... management, analysis, and visualization of complex data at Offutt Air Force Base. This position is responsible for transforming large and diverse datasets into actionable insights that inform senior ...

Flagstar Bank

Data Scientist Sr

Atlanta, NE

Manage ongoing data analytics processes, document calculations, code, and adhere to proper risk and compliance practices. * Trouble shoot issues, suggest alternative approaches or controls to ...

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All JobsData Analysis Manager JobsData Analysis Manager Jobs in Nebraska

Data Analysis Manager information

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$21.5K

$84.5K

$137.3K

How much do data analysis manager jobs pay per year?

As of Jun 27, 2026, the average yearly pay for data analysis manager in Nebraska is $84,537.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,900.00 and $103,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analysis Manager, and why are they important?

To thrive as a Data Analysis Manager, you need advanced analytical skills, a strong background in statistics or data science, and relevant experience often backed by a degree in mathematics, computer science, or a related field. Expertise in tools such as SQL, Python, R, and business intelligence platforms, along with proficiency in data visualization software like Tableau or Power BI, is typically required. Leadership, effective communication, and problem-solving abilities are crucial soft skills for managing teams and translating complex data insights into actionable business strategies. These skills and qualities are essential for driving data-informed decision-making and ensuring the success of analytics initiatives within an organization.

What does a data analyst manager do?

A data analysis manager oversees data teams to collect, analyze, and interpret data to support business decisions. They develop strategies, ensure data quality, and communicate insights to stakeholders, often using tools like SQL, Excel, and data visualization software. Strong leadership, analytical skills, and knowledge of data management are essential for this role.

How does a Data Analysis Manager typically collaborate with other departments within an organization?

A Data Analysis Manager regularly partners with teams such as marketing, finance, operations, and IT to identify data needs and translate business questions into actionable analysis. They facilitate communication between data analysts and stakeholders, ensuring that data insights are aligned with organizational goals. By leading cross-functional meetings and presenting findings to non-technical audiences, they help drive data-informed decision-making across the company. This collaborative approach not only enhances the impact of analytics but also fosters a culture of data literacy throughout the organization.

What does a Data Analysis Manager do?

A Data Analysis Manager oversees teams that collect, process, and interpret data to help organizations make informed business decisions. They are responsible for managing data projects, ensuring data quality, and translating complex data findings into actionable insights for stakeholders. Additionally, they often coordinate with other departments, set analytical strategies, and mentor data analysts. Their role is crucial for driving data-driven decision-making in a company.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, but Data Analysis Managers and analysts remain essential for interpreting complex data, making strategic decisions, and ensuring data quality. AI enhances productivity and supports decision-making, but human expertise is still critical for nuanced analysis and business insights.

What is the difference between Data Analysis Manager vs Data Analyst?

AspectData Analysis ManagerData Analyst
ResponsibilitiesOversees data analysis projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to support business decisions
Required SkillsLeadership, project management, advanced analyticsStatistical analysis, data visualization, technical skills
QualificationsBachelor's or master's in data science, statistics, or related field; experience in managementBachelor's in data science, statistics, or related field; technical proficiency
Work EnvironmentTypically in corporate offices, leading teamsOften in office or remote, focused on individual analysis tasks

The main difference between a Data Analysis Manager and a Data Analyst lies in scope and responsibilities. The manager oversees teams and strategic projects, while the analyst focuses on executing data analysis tasks. Both roles require strong analytical skills and relevant qualifications, but the manager's role emphasizes leadership and project management.

Is 40 too late for data science?

For a Data Analysis Manager, age is not a barrier to entering or advancing in data science. Success depends on skills, experience, and continuous learning, such as mastering tools like SQL, Python, or R, regardless of age. Many professionals transition into data roles later in their careers and find opportunities based on their expertise and adaptability.

Is a data analyst well paid?

Data analysts are generally well paid, with salaries varying based on experience, location, and industry. Entry-level positions typically start around $50,000 annually, while experienced analysts or those with specialized skills like SQL or Python can earn over $80,000 or more per year.
What are the most commonly searched types of Data Analysis jobs in Nebraska? The most popular types of Data Analysis jobs in Nebraska are:
What are popular job titles related to Data Analysis Manager jobs in Nebraska? For Data Analysis Manager jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Data Analysis Manager jobs in Nebraska look for? The top searched job categories for Data Analysis Manager jobs in Nebraska are:
What cities in Nebraska are hiring for Data Analysis Manager jobs? Cities in Nebraska with the most Data Analysis Manager job openings:
Data Analysis Manager jobs near you
Infographic showing various Data Analysis Manager job openings in Nebraska as of June 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $84,537 per year, or $40.6 per hour.
Data Analyst - Journeyman

Data Analyst - Journeyman

D&G Solutions

Bellevue, NE • On-site

Full-time

Posted 3 days ago

Job description

Job Summary:
D&G Solutions is a rapidly growing company that prioritizes its people and community involvement. They are seeking a Data Analyst to build and maintain data systems, automate monitoring processes, and deliver actionable insights through advanced analytics and machine learning. The role requires collaboration with stakeholders to enhance tools and workflows, while applying statistical methods to support decision-making.
Responsibilities:
• Build and manage structured data systems to ensure accuracy, maintainability, scalability, and secure access.
• Execute automated monitoring of intelligence, diplomatic, open-source information, after-action reports, and component inputs and provide analytical insights on global trends, risks, and opportunities.
• Create tools and dashboards to support decision-making.
• Collaborate in iterative cycles, ensuring analytics deliverables align with evolving requirements and priorities.
• Gather input from stakeholders to refine tools, reports, and workflows for improved usability and relevance.
• Develop graphic user interfaces and connectors that enable seamless interaction between data repositories and visualization platforms.
• Generate clear, tailored reports and disseminate results across multiple organizational levels to inform strategic decisions.
• Apply statistical methods, machine learning, and advanced analytics to identify patterns, generate forecasts, and support data-driven decision-making.
• Assess available datasets, identify opportunities, and apply emerging analytical techniques and visualization methods to uncover new insights and enhance decision-making.
• Other duties as required by Program Manager.
Qualifications:
Required:
• A bachelor’s degree or higher in Data Science, Computer Science, Data Analytics, Business Analytics, Management Information Systems, Statistics, Applied Mathematics, Applied Physics, or equivalent field.
• Minimum of 7 years of experience designing and implementing data collection strategies, management, and in-depth analysis of large, complex datasets.
• Demonstrated ability to lead projects.
• Expertise in the following: Python, R, Business Intelligence tools and data cleaning and wrangling.
• Proficient in the following: Structured Query Language database management.
• Familiarity with Agile methodologies, including contributing to sprint planning, backlog grooming, and retrospectives.
• Direct experience developing Machine Learning models required.
• Active TS/SCI clearance required.
• This role is restricted to U.S. person(s) (U.S. citizens, permanent residents, and other protected individuals under 8 U.S.C. 1324b(a)(3)).
Company:
People-powered logistics & supply chain ingenuity for our Nation’s most critical missions. Bring us your Goliaths. Founded in 2007, the company is headquartered in Woodbridge, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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