Manager Data Analyst Machine Learning Jobs in Nebraska

Join a mission where your contributions count!
At Leidos, innovation is at the heart of everything we do. Powered by a team as diverse as it is talented, we're driven by a shared passion for delivering bold solutions that fuel our customers' success. We believe in empowering our people, giving back to our communities, and leading with sustainability. Every action we take is grounded in integrity and a steadfast commitment to doing what's right-for our customers, our teams, and the world around us. Our Mission, Vision, and Values aren't just words-they're the compass guiding our journey toward a brighter future.
If this sounds like the kind of environment where you can thrive, keep reading!
The Defense Sector within Leidos develops and produces advanced space, aerial, surface, and sub-surface manned and un-manned capabilities. Our Business Area delivers smart, integrated, mission-ready solutions that enhance military intelligence operations and accelerate decision advantage for the warfighter. We achieve this through advanced platform and systems integration, rapid systems modernization, repeatable mission software offerings, and intelligence and data rationalization that turns information into actionable insight.
Leidos is seeking a Data Analyst to support the United States Strategic Command (USSTRATCOM) decision-making, strategic planning, and assessment activities through the collection, 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 leader decisions, campaign assessments, operational effectiveness evaluations, risk analyses, and strategic recommendations. The selected candidate will leverage advanced analytical techniques, statistical methodologies, machine learning models, and artificial intelligence capabilities to identify patterns, trends, and anomalies within complex operational data environments. This role requires expertise in data management, predictive analytics, visualization development, and analytical product generation to support mission-focused decision-making.
Note: This position is part of a prospective contract, contingent upon final award. Anticipated award date: August 2026.
Primary Responsibilities
The Data Analyst will design and implement data collection strategies, manage large and complex datasets, and ensure data quality, integrity, and accessibility across analytical efforts. Responsibilities include organizing structured data environments, performing in-depth analyses, identifying meaningful trends and anomalies, and translating complex findings into operationally relevant insights.
The position supports command assessments and strategic initiatives by developing analytical products that inform senior leaders and planners. These products may include campaign assessments, operational effectiveness evaluations, risk analyses, strategic recommendations, and decision-support materials that enhance situational awareness and organizational understanding.
The selected candidate will develop reports, briefings, dashboards, and visualization tools that effectively communicate complex analytical findings to both technical and non-technical audiences. Responsibilities also include developing decision-support applications, analytical interfaces, and reporting tools that enable users to access and interpret data efficiently.
The role requires the application of advanced analytical techniques, including machine learning, predictive analytics, statistical modeling, and artificial intelligence methodologies. The Data Analyst will collaborate with planners, analysts, and subject matter experts to develop data-driven solutions that support mission objectives and organizational priorities.
Additionally, the position supports Agile development and analytical workflows through participation in sprint planning, backlog refinement, retrospectives, and other collaborative project management activities.
Required Qualifications

• Active TS/SCI with eligibility for NC2/ESI and Special Access Program (SAP) access (or ability to obtain within required timeframe).
• Minimum 8 years of experience designing and implementing data collection strategies, managing large and complex datasets, and conducting advanced data analysis.
• Bachelor's degree from an accredited college or university; advanced degree preferred.
• Demonstrated ability to lead projects and manage analytical efforts from concept through execution.
• Expertise in: Python, R, Business Intelligence (BI) tools, Data cleaning, transformation, and wrangling techniques
• Proficiency in Structured Query Language (SQL) database management and querying.
• Direct experience developing, implementing, and evaluating Machine Learning models.
• Familiarity with Agile methodologies, including participation in sprint planning, backlog grooming, and retrospective activities.
• Strong analytical, critical thinking, and problem-solving skills.
• Excellent written and verbal communication skills, including experience translating technical findings into actionable recommendations for decision-makers.

AMSOPP1
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
June 8, 2026
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 $73,450.00 - $132,775.00
The Leidos pay range for this job level is a general guideline only and 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.