Job Description
Tetrad Digital Integrity (TDI) is a leading-edge cybersecurity firm with a mission to safeguard and protect our customers from increasing threats and vulnerabilities in this digital age. We are looking for a Cybersecurity Data Analyst to join our team in Washington, DC to support a large, Civilian government agency. The position will require three (3) days in the office and two (2) days remote, therefore, you must be in commutable range to the Washington, DC metro area.
The Cybersecurity Data Analyst will play a key role in transforming raw data into actionable and useful information for various stakeholders. Also responsible for identifying, normalizing, enriching, and institutionalizing data from many sources, building and maintaining a data dictionary describing that data. Additionally, serve as the subject matter expert on all data sources available to the Information Security Division (InfoSec) providing appropriate visibility into this data.
RESPONSIBILITIES: - Quickly and thoroughly gain an understanding of new and incoming datasets, develop a set of roadmaps for those datasets, and develop a plan of action to maximize the use of the data.
- Develop and implement plans to extract fields, perform enrichment on that dataset, develop data summarization, and provide a phased approach to make information available and accessible to various stakeholders
- Develop and maintain a data dictionary to keep track of the data available to Infosec. This data dictionary will include the originating dataset, documenting the way that the data is ingested.
- Develop and maintain field mappings to provide guidance to stakeholders on availability of data
- Develop, enact and optimize retention across various datasets to create a structured and accessible knowledge base for stakeholders.
- Role emphasizes visual storytelling and dashboard development to provide key insights to both technical and executive audiences.
- Design and implement security-focused visualizations in Splunk, Dynatrace, Power BI, and other platforms, ensuring that SOC analysts, threat hunters, and Cyber leadership can easily interpret complex datasets.
- Work with stakeholders outside of Cyber to present our information in the most effective way to assist them in understanding our data to help drive security awareness and compliance
QUALIFICATIONS: - Bachelor’s degree in operations research, engineering, analytics, data science, economics, applied mathematics, statistics, or a related field preferred.
- Three (3) to five (5) years of experience with data-oriented tasks for cybersecurity operations.
- Experience with Python scripting.
- Ability to leverage a wide variety of data science capabilities and languages, analyze and resolve critical data issues using various methodologies, and ensure data integrity.
- Experience with developing and engineering data workflows to merge disparate data sources and draw data-driven insights.
- Experience with working in Windows and Linux OS environments.
- Experience with Splunk, Dynatrace, Power BI
- Ability to take poorly defined problems and convert them into questions for which practical quantitative solutions can be defined; must be detail-oriented and organized.
- Ability to exhibit flexibility, initiative, and innovation to succeed in an ambiguous and fast-paced environment
- Compose client deliverable quality documentation, analysis, and reports.
- Experience with developing and engineering cybersecurity solutions with a focus on applied data science or machine learning a plus
- Security + certification preferred
TDI does business with the federal government, which restricts employment to individuals who are either US citizens or lawful permanent residents of the United States.
"TDI is an equal opportunity employer and all qualified applicants will receive consideration for employment."
Job Tags
Permanent employment, Full time,