Cyber Data Analyst
$100,000–$124,000 year
On-siteRosslyn, Virginia, United States
Job Summary
Analyze cybersecurity and operational datasets including network logs, authentication data, and threat telemetry to identify trends, anomalies, and patterns. Develop and maintain dashboards and reports using Power BI or Tableau while performing data extraction, validation, cleansing, and transformation with Python and SQL. Support recurring reporting and analytics workflows by automating manual processes and conducting exploratory analysis to enhance situational awareness. Collaborate with stakeholders to translate requirements into data-driven insights, develop metrics for cyber activity, and document methodologies for transparency. Assist with identifying reporting gaps and support ad hoc analytical requests. This contingent position requires onsite presence in Arlington, VA, five days a week, with a Top Secret security clearance and active U.S. citizenship.
Required Qualifications
- Bachelor's degree
- Minimum 9 years experience
- 7 Years with Masters
- 4 Years with PhD
- An additional four (4) years of experience may be substituted in lieu of the bachelors degree
- Must possess or be able to obtain one of the following certification before start date: CySA+, CASP+ CE, CCNP Security, CEH, CFR, CHFI, CISA, CISSP (or Associate), Cloud+, CND, GCED, GCIH, GICSP, SSCP
- Continued certification required as a condition of employment
- Minimum 2 years of coding experience (any programming language)
- Minimum 2 years of experience in cybersecurity or data analytics
- Foundational cybersecurity knowledge or foundational understanding of network and host telemetry
- Experience developing dashboards and reports using Power BI, Tableau, or similar tools
- Ability to communicate analytical findings clearly to technical and non‐technical audiences
- U.S. citizenship
- Active Top Secret security clearance with the ability to obtain TS/SCI
Desired Qualifications
- Two (2) or more years of hands-on experience with Python or SQL
- Experience working with Python/Pandas for data transformation, automation, and analytics
- Experience supporting cybersecurity operations, threat analysis, or security monitoring
- Experience with large-scale operational or cybersecurity datasets
- Experience building automated reporting pipelines or analytics workflows
- Experience using data visualization tools to support leadership reporting and operational decision‐making
- Familiarity with supervised and unsupervised machine learning concepts
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