Cyber Data Analyst

Cyber Data Analyst

Huntsville, AL

Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Are you looking for a career where professional development is embedded in your employer's core culture? If so, Chenega Military, Intelligence & Operations Support (MIOS) could be the place for you! Join our team of professionals who support large-scale government operations by leveraging cutting-edge technology and take your career to the next level!

The Cyber Data Analyst provides quantitative analysis, statistical evaluation, and risk modeling across defensive cyber operations and Risk Management Framework (RMF) lifecycles. Working in close collaboration with Cyber Operations Analysts, Data Engineers and Visualization Specialists, this role interprets complex security datasets—including vulnerability trends, authorization metrics, threat indicators, and control effectiveness—to deliver actionable risk assessments, prioritized remediation insights, and decision support for mission leadership.

Responsibilities

• Operational Telemetry & Vulnerability Evaluation: Interrogate security datasets (e.g., vulnerability scans, asset inventories, audit findings, and threat feeds) to identify vulnerability aging, emerging risk trends, and critical asset exposures.
• Analytical Modeling & Risk Scoring: Develop analytical frameworks, scoring models, and risk formulas that quantify operational risk, mission impact, and compliance readiness.
• Requirements Translation & Cross-Functional Interface: Partner with Data Engineers to define log ingestion/schema requirements and collaborate with Data Visualization Specialists to conceptualize analytical reporting metrics and wireframe executive views.
• Ad-Hoc Investigative Analysis: Perform deep-dive statistical analyses and exploratory queries to answer targeted leadership inquiries regarding security anomalies, compliance bottlenecks, or operational readiness.
• Stakeholder Advisory & Briefings: Translate complex data findings into clear, written risk summaries, briefing decks, and recommendations for ISSMs, system owners, and operational commanders.
• Continuous Monitoring Support: Conduct ongoing trend and variance analysis on recurring security metrics to support RMF re-authorizations and continuous Authorization to Operate (cATO) initiatives.
• Other duties as assigned.

Qualifications

• Bachelor's degree in Cybersecurity, Data Analytics, Information Technology, Computer Science, Statistics, Mathematics, or a related field.
• 3+ years of professional experience conducting data analysis, risk evaluations, or reporting within an IT, cybersecurity, or compliance domain.
• Active U.S. Government Secret clearance with eligibility for TS/SCI.
• Successfully pass background and drug screening

Preferred Qualifications:

• Experience analyzing data from enterprise cyber tools and databases (e.g., eMASS, ACAS/Tenable, SIEM repositories, Xacta).
• Familiarity with Splunk for querying machine telemetry and log analysis.
• Familiarity with analytical, statistical, and enterprise platforms such as MATLAB, Power BI, Tableau, or Palantir Foundry.
• Demonstrated experience with quantitative risk assessment methodologies (e.g., FAIR, CVSS scoring analysis).
• Baseline cybersecurity certifications (e.g., CompTIA Security+, CySA+, CGRC/CAP, or CASP+).
• Familiarity working within Agile teams alongside specialized data engineering and design roles.

Knowledge, Skills and Abilities:

• Proficiency in using analytical query languages and statistical tools (e.g., SQL, Python/Pandas, or Advanced Excel) for exploratory data analysis and trend modeling.
• Exploratory Data Analysis: Strong ability to query databases, manipulate tabular datasets, apply statistical methods, and identify correlations or anomalies without relying on pre-built UI templates.
• Analytical Translation: Proven ability to synthesize disparate data streams (e.g., operational scan data vs. compliance checklists) into coherent, defensible risk narratives.
• Interdisciplinary Collaboration: Strong collaborative skills to interface effectively with data engineers (defining data schemas) and BI/visualization designers (defining metric logic).
• Communication & Critical Thinking: Exceptional written and verbal communication skills with the ability to articulate risk priorities to technical teams and non-technical decision-makers.
• Operational Readiness: Ability to work independently and within a distributed team, manage analytical priorities, and support mission deliverables.
• Ability to meet minimum clearance requirements.
• Ability to work nights, weekends, and holidays as required.
• Ability to travel up to 10%