Contractor Support to Analytics Specialist – Capability Lifecycle (Engineering)

Strategic Growth Partners•Norfolk, VA

1d•$48 - $80•Onsite

About The Position

SGP Recruiting provides both operations and strategic support to Tribal 8(a) and commercial organizations. Our client is an ISO certified international Information Technology consulting and Engineering Services company focused on supporting public and private sector customers as they tackle their most daunting Information Technology and business challenges. They are seeking Contractor Support to Analytics Specialist – Capability Lifecycle (Engineering) to support an upcoming NATO ACT program in Norfolk, VA. This is a great opportunity to be part of an international company specializing in the provision of services in the area of information systems and technologies, outsourcing solutions, and application development services to government and non-government organizations. Working Location: Onsite. Norfolk, VA. Employment Type: 1099, B2B Compensation: $48-80/hr USD Language: High proficiency level in English language Security Clearance: NATO Secret

Requirements

8+ years of progressive professional experience in requirements engineering systems analysis, engineering analytics, or related disciplines supporting complex technical systems within defense, security, or similarly regulated environments.
Demonstrated expertise in requirements lifecycle management, including requirements capture, decomposition, traceability, validation, and verification across the capability lifecycle using enterprise requirements or lifecycle management tools.
Demonstrated experience developing analytics, metrics, and visualizations that provide insight into requirements status, maturity, risk, and alignment to support engineering decision-making and technical governance.
Bachelor’s degree in Engineering, Computer Science, Information Systems, Mathematics, or a related technical discipline, or equivalent professional experience.
Demonstrated experience integrating engineering and requirements data from multiple authoritative sources to support cross-system analysis, traceability, and reporting in enterprise environments.
Demonstrated experience supporting configuration management and change control activities, including baselining, version control, impact analysis, and compliance with organizational, NATO, or DoD standards.
Demonstrated experience supporting full systems or software development lifecycle (SDLC) activities, including requirements analysis, system design, testing, verification, and deployment.
Demonstrated proficiency in data analysis and reporting, including use of business intelligence or analytics tools to translate engineering data into actionable insight for technical and non-technical stakeholders.
Demonstrated professional experience operating within secure or classified environments, including adherence to security classification handling, data protection, and access control requirements.
Demonstrated ability to collaborate across multidisciplinary and international teams, including engineers, architects, program managers, and stakeholders, to translate engineering data into decision-support products.
Demonstrable proficiency in effective oral and written communication, including briefing and coordinating with business stakeholders.

Responsibilities

Requirements Analytics and Engineering Insight: Design, develop, and maintain analytic products that provide visibility into requirements definition, maturity, completeness, and alignment across the capability lifecycle.
Requirements Capture and Decomposition Support: Support the analysis, decomposition, and structuring of complex system and capability requirements to enable effective analytics, traceability, and decision support.
Requirements Traceability and Linkage Analysis: Develop analytics and reports that assess traceability between requirements, architectures, capabilities, verification artifacts, and delivery outcomes across engineering repositories.
Engineering Data Integration and Interoperability: Integrate requirements and engineering data from multiple authoritative sources to enable unified analysis, reporting, and cross-domain insight.
Configuration and Change Management Analytics: Support configuration management and change control activities by developing analytics that track requirement baselines, version history, change impacts, and configuration status.
Engineering Performance Metrics: Define, calculate, and maintain metrics that 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: Integrate and correlate engineering data with programmatic, schedule, and risk data to support holistic capability lifecycle analysis.
Data Quality and Validation: Perform validation, consistency checks, and quality assurance activities 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 requirements and translate them into actionable engineering-focused analytics.
Process Improvement and Automation: Identify opportunities to streamline and automate engineering analytics, reporting, and data preparation workflows to improve efficiency and reduce manual effort.
Tool and Workflow Support: Support the 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 and 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 required by the COTR related to this labor category.