Data Analyst, Senior

Job Category: Data Science IT
Job Type: Full Time
Job Location: Northern Virginia


We are seeking a Data Analyst with a professional/strong understanding of enterprise-level data analysis, machine-learning, operations research, modeling, and business/mission intelligence tools.

Candidates must already possess a current and active TS/SCI with Poly clearance to be considered for this position


The right candidate will have experience developing, implementing, integrating, and evaluating IC data architecture-related projects. A Professional/strong understanding of preprocessing of structured and unstructured data.

As well as:

  • Experience providing senior level executive support in furtherance of the development of enterprise-wide data strategy initiatives.
  • Experience supporting senior level executives providing direction, goals, objectives, and priorities for realizing the vision of Data as an IC Asset.
  • Experience with coordinating the development of new data management and applications capabilities; providing technical expertise in data architecture; document and design specifications for data/software engineers; producing prototypes to demonstrate enterprise scalability and implementation of design; providing broad technical guidance.
  • Possess extensive technical leadership abilities and an understanding of associated resource planning schedules, related regulations, policies, directives and standards, and program management practices and enterprise information technology (EIT) planning activities.
  • Experience supporting efforts to develop a common set of design principles that supports the IT data strategy with an eye towards simplifying operations and maintenance while pushing for state- of-the-art capabilities.
  • Experience with complex computer engineering projects or programs, resolve requirements shortfalls, parallel tasks, multiple dependencies, high risks, and multiple interfaces; manage the design, construction, testing, and implementation of technical and functional specifications; provide technical oversight and initiate, plan, implement, and coordinate activities throughout the life of the project.
  • Experience designing engineering solutions and alternative design options to meet customer requirements and provide guidance to junior engineers in the design and development of engineering solutions.
  • Experience in deconflicting complex functional requirements into underlying technical requirements and recommend “best fit” allocation of those requirements.
  • Experience in conducting technical research on such topics as operational guidelines, best practices, and international standards, and develop procedures for installation of hardware, software, or network components.
  • Experience overseeing the design, evaluation, selection, implementation, and support of development and production support tools and platforms.
  • Experience overseeing the effective integration and interoperability of disparate capabilities developed by separate service providers.
  • Experience formulating enterprise data best practices to facilitate common standards and leverage existing and new collaboration capabilities.
  • Experience using data services and big-data architectures, data organization, retention, and disposition standards, and processes.



  • 15 years as a Data Scientist or Data Analyst in the IC
  • Bachelor’s Degree (Computer Engineering, Computer Science, Mathematics, Statistics or Data Mining).


  • Data Governance
  • Data Architecture Management
  • Data Development
  • Database Operations Management
  • Data Security Management
  • Reference & Master Data Management
  • Data Warehousing & Business Intelligence Management
  • Document & Content Management
  • Meta Data Management
  • Data Quality Management

We are an Equal Opportunity/Affirmative Action Employer.

We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state or local law. Equal Opportunity Employer Minorities/Women/Vets/Disabled.

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