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Director Data Analyst Machine Learning Jobs in Omaha, NE

USfalcon, Inc.

Data Analyst, Craftsman

Omaha, NE

JOBSUMMARY: The Data Analyst, Craftsman supports USSTRATCOM/J7 assessment activities through ... Direct experience developing Machine Learning modelsrequired. PREFERRED QUALIFICATIONS:

USfalcon

Data Analyst, Craftsman

Omaha, NE · On-site

The Data Analyst, Craftsman supports USSTRATCOM/J7 assessment activities through structured data ... Direct experience developing Machine Learning models required. PREFERRED QUALIFICATIONS:

Varsity Tutors

Machine Learning Tutor

Omaha, NE · Remote

$18 - $40/hr

Guides students through data preprocessing, feature selection, building and comparing ... analytics. * Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula ...

Lorven Technologies

Data Analyst

Omaha, NE · On-site

Data Analyst Location: Omaha, NE (Onsite) * Senior Data Analyst responsible for leading reporting ... Ability to work effectively across business and technology teams without direct authority. * Strong ...

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All JobsData Analyst Machine Learning JobsDirector Data Analyst Machine Learning JobsDirector Data Analyst Machine Learning Jobs in Omaha, NE

Director Data Analyst Machine Learning information

See Omaha, NE salary details

$32.5K

$79.1K

$130.1K

How much do director data analyst machine learning jobs pay per year?

As of Sep 1, 2026, the average yearly pay for director data analyst machine learning in Omaha, NE is $79,055.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,800.00 and $92,800.00 per year, depending on experience, location, and employer.

What is the difference between Director Data Analyst Machine Learning vs Data Scientist?

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

What are popular job titles related to Director Data Analyst Machine Learning jobs in Omaha, NE?

For Director Data Analyst Machine Learning jobs in Omaha, NE, the most frequently searched job titles are:

What job categories do people searching Director Data Analyst Machine Learning jobs in Omaha, NE look for?

The top searched job categories for Director Data Analyst Machine Learning jobs in Omaha, NE are:

Director Data Analyst Machine Learning jobs near you
Infographic showing various Director Data Analyst Machine Learning job openings in Omaha, NE as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $79,055 per year, or $38 per hour.

Data Analyst (Journeyman)

Spiral Solutions and Technologies, Inc.

NE • On-site

Other

Re-posted 8 days ago

Job description

Description
Position Overview
Spiral Solutions & Technologies, Inc. (SS&T) is seeking a Data Analyst to support the United States Strategic Command (USSTRATCOM) Joint Exercises, Training, and Assessment Directorate (J7).
The Data Analyst supports USSTRATCOM/J7 assessment activities through structured data design, management, analysis, and visualization in support of campaign, risk, operations, and Joint Force assessments. The selected candidate will apply expertise in large, complex datasets, Business Intelligence tools, Python, R, SQL, and machine learning to develop analytical products, dashboards, and decision-support outputs for senior leaders and assessment stakeholders.
Requirements
Key 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 to ensure 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.
• Identify, collect, analyze, and enter data in support of competition, planning in crisis, combat, risk, exercise, and other-directed assessments.
• Utilize artificial intelligence and machine learning tools to augment analysis and contribute to continuous improvement of assessment processes, tools, and products.
Required Qualifications
• At least 7 years of experience designing and implementing data collection strategies, management, and in-depth analysis of large, complex datasets.
• Demonstrated ability to lead projects.
• A bachelor's degree or higher.
• Expertise in Python, R, Business Intelligence tools, and data cleaning and wrangling.
• Proficient in 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.
• U.S. citizenship required.
Preferred Qualifications
• Experience developing dashboards, connectors, and decision-support tools for strategic assessment environments.
• Experience integrating intelligence, diplomatic, open-source, or after-action data into analytical workflows.
Experience supporting Combatant Command, Joint Staff, or other senior-level defense assessment organizations

Apply