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Analytics Specialist

Job in Norfolk, Virginia, 23500, USA
Listing for: Metasys Technologies
Contract position
Listed on 2026-03-03
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
  • Engineering
    Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Analytics Specialist – Norfolk, VA (On-site)

5 year Contract (with an anticipated start date of July, 2026)

Active U.S. Secret clearance required (no sponsorship available)

Ability to obtain NATO Secret Read-On required

Background Information

DCOS CAPDEV provides guidance, direction, and coordination for the Capability Development Directorate, identifying and prioritizing Alliance capability development and ensuring coherence across the DOTMLPFI lines of effort. The CAPDEV DAO manages data and platform operations for Capability Lifecycle, Requirements, and P3M data, providing analytics-as-a-service and enabling self‑service analytics for CAPDEV decision‑makers. CAPDEV is implementing improvements to capability development planning and management, including modernizing how capability development and delivery information is collected, managed, analyzed, and reported.

Responsibilities
  • Requirements Analytics & Engineering Insight:
    Design, develop, and maintain analytic products that provide visibility into requirements definition, maturity, completeness, and alignment across the capability lifecycle.
  • Requirements Capture & Decomposition Support:
    Support analysis, decomposition, and structuring of complex capability and system requirements to enable effective analytics, traceability, and decision support.
  • Requirements Traceability & Linkage Analysis:
    Develop analytics and reports that assess traceability between requirements, architectures, capabilities, verification artifacts, and delivery outcomes across engineering repositories.
  • Engineering Data Integration & Interoperability:
    Integrate requirements and engineering data from multiple authoritative sources to enable unified analysis, reporting, and cross‑domain insight.
  • Configuration & Change Management Analytics:
    Develop analytics that track requirement baselines, version history, change impacts, and configuration status to support configuration management and change control.
  • Engineering Performance Metrics:
    Define, calculate, and maintain metrics to measure requirements quality, engineering progress, technical risk, and delivery readiness.
  • Business Intelligence Development (Engineering Focus):
    Develop, customize, and maintain dashboards, reports, and visualizations that communicate engineering status, risks, and trends to technical and non‑technical stakeholders.
  • Cross‑System Engineering Reporting:
    Correlate engineering data with programmatic, schedule, and risk data to support holistic capability lifecycle analysis.
  • Data Quality & Validation:
    Perform validation, consistency checks, and quality assurance on engineering and requirements data to ensure accuracy and reliability of analytic outputs.
  • Decision Support for Engineering Reviews:
    Produce analytic products that support requirements reviews, design trade‑off analyses, technical governance forums, and capability assurance activities.
  • Stakeholder Engagement:
    Collaborate with engineers, architects, analysts, program managers, and international stakeholders to capture analytic needs and translate them into actionable engineering‑focused analytics.
  • Process Improvement & Automation:
    Identify opportunities to streamline and automate engineering analytics, reporting, and data preparation workflows to improve efficiency and reduce manual effort.
  • Tool & Workflow Support:
    Support configuration and effective use of analytics tools and engineering workflows to ensure adoption and consistent use across stakeholders.
  • Documentation:
    Develop and maintain documentation describing analytic logic, data sources, assumptions, and limitations for engineering‑focused analytics and reports.
  • User Training & Knowledge Transfer:
    Deliver training sessions, user guides, and ad hoc support to ensure effective adoption and interpretation of engineering analytics products.
  • Capability Lifecycle Engineering Support:
    Apply analytics expertise to support requirements‑based planning, capability development, verification, validation, and delivery assurance activities.
  • Technical Support:
    Provide ongoing analytic support and troubleshooting for engineering‑focused analytics, reports, and dashboards.
  • Additional Tasks:
    Perform additional tasks as…
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