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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Analyst, Senior (MPTE) - **Company:** Sabre Systems, Inc. - **Location:** San Diego, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Integration, Decision Support Systems, Machine Learning, Natural Language Processing, Sabre (Computer System), Performance Testing, Information Technology, Data Analytics - **Published:** July 26, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d9be485fd8f32d69 ## About the Role * Bachelor's degree in computer science, information systems management, mathematics, physics, operations research, statistics, or engineering from an accredited college or university, or equivalent specialized experience. Allowable substitution: Six years of additional related work experience. * Fifteen years of related experience and of that; six (6) years must be direct experience the following concentration area: MPTE: Supports the applicable military and/or government and/or civilian contractor manpower, personnel, education, and training field. * Prior military experience as a Commissioned Officer and/or senior level DoW government experience (GS14-15, O5-O6) may be considered favorably. * Must have an active DoD Secret Clearance or higher * Must be a U.S. Citizen ## Description Sabre Systems is hiring an Analyst, Senior to support a U.S. Navy customer. This program provides readiness and sustainment support to improve operational availability and mission effectiveness while controlling cost and optimizing constrained resources. Uses collaborative, data-driven operating models that include end-to-end readiness ecosystems (operations, maintenance, engineering, supply chain, manpower/training, and financial management). AI-enabled approaches are a desired element of the solution to improve the speed, scale, and consistency of analysis and decision support. The work includes producing readiness assessments and decision-support products; establishing and maintaining consistent readiness metrics and reporting; and integrating data from multiple authoritative and legacy sources to deliver actionable analytics and dashboards. Advanced analytics and, where appropriate, AI/ML techniques (e.g., forecasting, anomaly detection, natural language processing of maintenance narratives) are used to identify readiness drivers and constraints, improve predictive analytics, and inform trade-space decisions that balance near-term readiness with longer-term capability objectives, including Fleet legacy platform/systems sustainment and modernization transitions. Location: San Diego, California The Analyst, Senior will incorporate enterprise-wide knowledge and experience in one or more designated functional and/or concentration areas. Provides support to the customer on program/project operations. In addition, the selected candidate will: * Experience developing and executing successful strategic plans. Possesses demonstrated knowledge, extensive experience in the development of solutions, recommendations, or outcomes across multiple complex tasks in multiple organizations. * Defines problems, analyzes and develops strategies to achieve assigned objectives. Manages the preparation of analyses, evaluations, and recommendations for implementation. Provides complex statistical modeling and analysis. * Evaluates existing business goals, team functionality, and cross-discipline cooperation and develops recommendations to improve internal performance, shorten throughput time, and minimize internal costs, while increasing the overall quality of work, product, or service output. * Implements improved systems, procedures and organizational changes. * Employs analysis techniques, such as work breakdown structures, activity-based costing, process and productivity improvement measurements, and program audits/evaluations and performance testing to achieve stated objectives. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [APIs and Architecture for scaling omnichannel payments](https://www.wearedevelopers.com/videos/90-apis-and-architecture-for-scaling-omnichannel-payments) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) ## Related Articles - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Best Paying Jobs in Technology](https://www.wearedevelopers.com/magazine/256-best-paying-jobs-in-technology) - [IT Salaries in Germany](https://www.wearedevelopers.com/magazine/287-it-salaries-in-germany) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)