Data Analyst

Barbaricum is a rapidly growing government contractor providing leading-edge support to federal customers, with a particular focus on Defense and National Security mission sets. We leverage more than 17 years of support to stakeholders across the federal government, with established and growing capabilities across Intelligence, Analytics, Engineering, Mission Support, and Communications disciplines. Founded in 2008, our mission is to transform the way our customers approach constantly changing and complex problem sets by bringing to bear the latest in technology and the highest caliber of talent.

Headquartered in Washington, DC's historic Dupont Circle neighborhood, Barbaricum also has a corporate presence in Tampa, FL, Bedford, IN, and Dayton, OH, with team members across the United States and around the world. As a leader in our space, we partner with firms in the private sector, academic institutions, and industry associations with a goal of continually building our expertise and capabilities for the benefit of our employees and the customers we support. Through all of this, we have built a vibrant corporate culture diverse in expertise and perspectives with a focus on collaboration and innovation. Our teams are at the frontier of the Nation's most complex and rewarding challenges. Join our team.

Barbaricum is currently seeking a Data Scientist to join our team, focusing on the technical evaluation of data elements, prime object names, and other critical data objects. This role involves the meticulous assessment of proposed objects and their attributes to ensure clarity, technical correctness, and consistency with established data and process models. The successful candidate will be instrumental in maintaining the integrity and accuracy of data definitions, values, and domains, playing a crucial role in shaping our data governance and data management practices.

Responsibilities:

• Technical Evaluation: Provide technical support in evaluating prime object names, data elements, and other objects to ensure they meet project requirements and standards.
• Object and Attribute Evaluation: Evaluate proposed objects and their attributes for clarity, conciseness, technical correctness, and singularity of concepts.
• Data Integrity Assurance: Ensure that the values of object attributes and their domains are accurate, correct, and consistent with the overall data and process models.
• Data Dictionary Maintenance: Create and maintain a comprehensive data dictionary that serves as a reference for the organization, ensuring all data elements are well-documented and easily accessible.
• Consistency and Compliance: Ensure proposed objects are consistent with existing data models and process models, adhering to best practices in data management and governance.
• Collaboration and Guidance: Work closely with data architects, analysts, and other stakeholders, providing expertise and guidance on data object definitions and structures.

Qualifications:

• Active DoD Secret Clearance.
• Bachelor's Degree in Data Science, Computer Science, Information Systems, or a related field.
• A minimum of 7 years of experience in a related field, with a strong background in data analysis, data modeling, or a similar domain.
• Expertise in evaluating data elements, object names, and their attributes, with a keen eye for detail and accuracy.
• Data Governance Knowledge: Familiarity with data governance principles and practices, including the creation and maintenance of data dictionaries.
• Strong analytical and problem-solving skills, with the ability to assess complex data structures and ensure their correctness and consistency.
• Excellent communication skills, capable of clearly articulating technical concepts to non-technical stakeholders and working collaboratively with various teams.
• A self-starter who can work independently, manage multiple priorities, and drive projects to completion within tight deadlines.

EEO Commitment

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.