Senior Data Analyst (NSWC-Dahlgren) at Sabre Systems Inc
Dahlgren, VA 22485, USA -
Full Time


Start Date

Immediate

Expiry Date

15 Oct, 25

Salary

0.0

Posted On

15 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Llc, Knowledge Acquisition, Data Models, Defense, Collaborative Environment, Digital Transformation, Active Dod Secret Clearance, Data Structures, Technological Solutions, Design, Servicenow, Data Warehousing

Industry

Information Technology/IT

Description

Responsibilities:
Sabre Systems is seeking a Senior Data Analyst to join our team in support of the Naval Surface Warfare Center Dahlgren Division (NSWCDD) in Dahlgren, VA. This role plays a critical part in NSWCDD’s strategic initiative to modernize, optimize, and simplify its IT infrastructure while advancing IT Service Management (ITSM) practices to deliver measurable, mission-focused outcomes.
This initiative not only includes the continued operation and maintenance of the existing IT environment but also emphasizes digital transformation, information management, infrastructure engineering, and the implementation of modern development, deployment, and automation technologies. The selected candidate will be essential to enhancing IT service delivery and ensuring efficient, customer-focused support in a dynamic and evolving environment.

QUALIFICATIONS:

  • Bachelor’s degree in a business-related field from an accredited college or university
  • Minimum of six (6) years of professional experience in relation to analysis, design, and development related to data warehousing and integration capabilities.
  • Experience with help desk tools, such as ServiceNow
  • Experience with requirements developing definition and application designs in the form of logical data models, data interface specifications, on-line query and report specifications, structured query language (SQL), database performance loading specifications, and data validation specifications.
  • Experience with data warehouse development and design, data knowledge acquisition, legacy conversion specifications and design of data structures/load specifications, and knowledge of Working Capital Fund and Enterprise Resource Planning (ERP), financial, and human resources systems methods and strategies for data warehousing.
  • Advanced proficiency in Cybersecurity Workforce (CWF) to focuses on building, managing, and operationalizing data pipelines.
  • Must be a U.S. Citizen with an active DoD Secret clearance or higher
  • Must be available to work onsite in Dahlgren, VA daily
  • This position is contingent upon contract award and/or customer approval.

    LI-EN1

Overview:
Sabre Systems, LLC, has been providing innovative technological solutions and services for Department of Defense, Federal Civilian, and commercial customers for more than 35 years. We support the ever-evolving areas of advanced communication technologies, cyber, systems and software engineering, and digital transformation.
With over three decades in business, Sabre Systems, LLC remains committed to our small business values and a people-first philosophy. We foster a welcoming, inclusive culture that values diverse perspectives and encourages open communication. Our collaborative environment supports continuous learning and professional growth at all levels. We prioritize the health, well-being, and success of our employees, offering comprehensive, evolving benefits designed to meet their diverse needs. Join us and be part of a thriving, people-driven culture.

Responsibilities
  • Applies mathematics, statistics, predictive modelling and machine learning techniques to discover meaningful patterns and knowledge in recorded data
  • Develops definition and application designs in the form of logical data models, data interface specifications, on-line query, and reports specifications
  • Uses structured query languages (SQL)
  • Presents findings and data insights in creative ways to facilitate the understanding of data across a range of technical and non-technical audiences
  • Identifies, validates, and exploits internal and external data sets generated from a diverse range of processes
  • Manages data and information in all its forms and the analysis of information structure (including logical analysis of taxonomies, data and metadata)
    Qualifications:
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