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Data Analytics Graduate Jobs in Nebraska (NOW HIRING)

Data Scientist

Omaha, NE ยท On-site

$104.65 - $189.18/hr

Graduate degree (MS, PhD) in Data Science or related fields * Experience supporting Joint Intelligence or U.S. Geographic Combatant Commands * Experience with advanced analytic tools (Open.IO ...

Graduate degree (MS, PhD, etc.) linked to data analytics (e.g., math, physics, computer science) or problem set analysis (e.g., international relations, political science, cultural anthropology ...

Data Science Tutor

Lincoln, NE ยท Remote

$18 - $40/hr

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

Data Science Tutor

Omaha, NE ยท Remote

$18 - $40/hr

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

... graduate professional experience in quantitative analysis and data science ; OR a Ph.D. in a relevant technical field. Preferred Qualifications: * 3+ years of Experience using SQL or similar big data ...

... graduate professional experience in quantitative analysis and data science ; OR a Ph.D. in a relevant technical field. Preferred Qualifications: * 3+ years of Experience using SQL or similar big data ...

Graduate degree in Mathematics, Statistics, Engineering, or other STEM field with 6-8 years of experience in insurance industry or related industry in a data science/analytics environment. * PhD in ...

Oversee SH&E data, analytics, dashboards, metrics, and performance reporting. * Create forms ... GSP) Graduate Safety Practitioner, or equivalent SH&E Project/Program Management experience

... analytics, reporting, applications, and AI. They will architect core systems to collect ... graduate degree preferred. * At least 3-5 years of experience leading data engineering or closely ...

... analytics, reporting, applications, and AI. They will architect core systems to collect ... graduate degree preferred. * At least 3-5 years of experience leading data engineering or closely ...

$15/hr

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics, Information Systems, Business, or related field. * Basic experience or coursework with Power BI, including ...

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics, Information Systems, Business, or related field. * Basic experience or coursework with Power BI, including ...

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Data Analytics Graduate information

What is a data analytics graduate?

A Data Analytics Graduate job is an entry-level role designed for recent graduates with a background in data science, statistics, or related fields. It typically involves collecting, cleaning, analyzing, and visualizing data to help organizations make data-driven decisions. Graduates in this role may work with tools like SQL, Python, Excel, and data visualization software to interpret trends and patterns. They often collaborate with different departments to provide insights that optimize business processes. This role serves as a foundation for more advanced positions in data analytics or data science.

What are typical career paths or growth opportunities for a data analytics graduate?

As a Data Analytics Graduate, you often start by supporting more senior analysts with data preparation, exploratory analysis, and report generation. Over time, you can advance to positions such as Data Analyst, Business Intelligence Analyst, or Data Scientist, depending on your interests and ongoing skill development. Many organizations encourage further training and offer mentorship to help you specialize in areas like machine learning, data engineering, or domain-focused analytics. With experience and demonstrated impact, leadership roles such as Analytics Manager or Team Lead become attainable, providing broader responsibilities and strategic input into organizational decision-making.

What are the key skills and qualifications needed to thrive in the data analytics graduate position, and why are they important?

To thrive as a Data Analytics Graduate, you need a solid understanding of statistics, data modeling, and analytical techniques, usually supported by a relevant degree in mathematics, statistics, computer science, or a related field. Familiarity with tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is highly valued, and certifications in these can provide an added advantage. Strong problem-solving abilities, attention to detail, and effective communication skills help you distill complex data sets into actionable insights and present findings to diverse stakeholders. These skills are essential for delivering data-driven solutions that support business decisions and foster organizational growth.

Is a master's degree in data analytics worth it?

For a data analytics graduate, a master's degree can enhance technical skills such as statistical analysis and data visualization, potentially leading to higher-level roles and increased salary. However, practical experience, certifications, and proficiency with tools like SQL and Python are also highly valued in the field and can sometimes substitute for advanced degrees. The decision depends on career goals and the specific requirements of employers in the industry.

What can I do with a master's degree in data analytics?

A master's degree in data analytics prepares graduates for roles such as data analyst, data scientist, or business intelligence analyst, involving skills in statistical analysis, data visualization, and programming with tools like SQL, Python, or R. These roles typically require strong analytical thinking, familiarity with data management, and the ability to interpret complex data to support decision-making.

What kind of jobs can I get with a degree in data analytics?

A degree in data analytics qualifies you for roles such as data analyst, business analyst, data scientist, and operations analyst. These positions involve analyzing data sets, creating reports, and supporting decision-making using tools like Excel, SQL, and visualization software. Strong analytical skills and knowledge of statistical methods are essential for these jobs.

What are the most commonly searched types of Data Analytics Graduate jobs in Nebraska?

The most popular types of Data Analytics Graduate jobs in Nebraska are:

What are popular job titles related to Data Analytics Graduate jobs in Nebraska?

For Data Analytics Graduate jobs in Nebraska, the most frequently searched job titles are:

Infographic showing various Data Analytics Graduate job openings in Nebraska as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Data Scientist

Via Logic LLC

Omaha, NE โ€ข On-site

$104.65 - $189.18/hr

Other

Posted 15 days ago


Job description

Description

Join a team committed to a mission!

At Leidos , we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customersโ€™ success. We empower our teams, contribute to our communities, and operate sustainable. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business.

Are you ready for your next career challenge?

Leidos National Security Sector (NSS) is seeking a highly experienced and skilled mission-driven Civil Affairs Planner to support APOLLO/OPIAS in Qatar. This role will support Operations in the Information Environment (OIE) initiatives under the J39 directorate by leveraging advanced data analysis techniques to extract actionable insights. The candidate will be responsible for analyzing complex data sets, developing predictive models, and providing data-driven recommendations to enhance Information

campaigns. This position is on a future contract pending award announcement.

Possible locations for this position are as follows:

ยท MacDill (Tampa, FL)

ยท Al Udeid (Qatar)

ยท Fort Meade (Maryland)

ยท Northcom (Colorado Springs, CO)

ยท Camp Humphreys (Korea)

ยท Arifjan (Kuwait)

ยท Joint Base Pearl Harbor-Hickam (Hawaii)

ยท Fort Eisenhower (Georgia)

ยท Offutt AFB (Omaha, NE)

ยท Naval Operating Base Norfolk (Virginia)

ยท Southcom (Doral, FL)

ยท JB San Antonio (Texas)

ยท Stuttgart (Germany)

ยท Vicenza (Italy)

ยท Tyndall AFB (Florida)

Key Responsibilities:

  • Conduct analysis of structured and semi-structured data sets, which include opinion research, social media-based big data, and various secondary-source indices.

  • Review the methods and means to provide data visualization and quantitative analysis to the team.

  • Develop automated approaches leveraging artificial intelligence/machine learning (AI/ML) and natural language processing (NLP) to streamline the input of operational assessment data into the Command and Control of the Information Environment (C2IE) system.

  • Support the analytics and assessment team in the construction and modification of research design.

  • Acquire, process, and integrate impactful data from various commercial and customer sources, including HUMINT, SIGINT, OSINT, and GEOINT.

  • Apply advanced analytical techniques, including machine learning, natural language processing, and deep learning, to identify trends and patterns.

  • Develop predictive models to support influence operations and behavioral targeting.

  • Collaborate with OIE planners, OIE analysts, and Data Engineers to ensure effective data utilization.

  • Visualize data insights through dashboards and reports for decision-makers.

  • Evaluate the effectiveness of OIE campaigns using data-driven methods.

  • Stay current on emerging data science techniques and tools relevant to OIE.

  • Provide recommendations to senior leadership on data-driven strategies for OIE.

  • Define the means to create data visualizations and quantitative analysis to support mission needs.

  • Review/analyze statistical data received from team members, other agencies, and CCMD organic assets.

  • Review empirical/quantitative studies conducted by similar organizations and determine reliability, validity, and other strength factors for potential use in theater.

  • Provide data visualization and explain quantitative analysis from the research team / vendors and quantitative analysis.

  • Responsible for contributing to analytic and assessment projects evaluating the Information Environment (IE) for a variety of Combatant Commands (CCMDs), supported through Leidos Checkmate

Basic Qualifications:

  • Bachelorโ€™s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field

  • 8+ years of experience in data science, with a focus on predictive analytics, machine learning, and statistical modeling

  • Experience with data visualization tools (Tableau, Power BI, Matplotlib)

  • Experience with natural language processing (NLP) and text analytics

  • Proficiency in Python, R, SQL, and machine learning frameworks (Scikit-learn, TensorFlow, PyTorch).

  • Strong problem-solving and critical-thinking skills

  • Familiarity with data security protocols for classified environments

  • Active TS/SCI security clearance

Preferred Qualifications:

  • Graduate degree (MS, PhD) in Data Science or related fields

  • Experience supporting Joint Intelligence or U.S. Geographic Combatant Commands

  • Experience with advanced analytic tools (Open.IO, Echosec, Babel Street, Scraawl)

  • Experience with geospatial analytic tools (ArcGIS, QGIS)

  • Experience with data manipulation and analysis tools (SPSS, STATA, IBM Watson)

  • Proficiency with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)

  • Demonstrated experience with Command and Control of the Information Environment (C2IE)

  • Demonstrated experience briefing senior military leadership (O-5 and above)

  • Expertise in OSINT, including social media monitoring and analysis.

  • Ability to conduct complex data queries and scripting for automation.

Come break things (in a good way). Then build them smarter.

We're the tech company everyone calls when things get weird. We donโ€™t wear capes (theyโ€™re a safety hazard), but we do solve high-stakes problems with code, caffeine, and a healthy disregard for โ€œhow itโ€™s always been done.โ€

Original Posting:

July 30, 2025

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $104,650.00 - $189,175.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

REQNUMBER: R-00163314-OTHLOC-PL-2D2037

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Leidos will consider qualified applicants with criminal histories for employment in accordance with relevant Laws. Leidos is an equal opportunity employer/disability/vet.

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