Senior Analytics Specialist

NexGen Data Systems

$90K — $120K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Active Department of Defense Top Secret/SCI clearance required.
  • Bachelor's degree in Data Science, Computer Science, Statistics, or 5 years' experience with relevant technical certification.
  • Active DoD 8570.01-M / DoDM 8140 IAT Level II or higher certification required.
  • Active professional certification or documented training in Python, Databricks Engineering, or Qlik Sense Analytics required.
  • Completed Defense Cyber Crime Center Cyber 101 course required.
  • 6-9 years' experience in data engineering, algorithm development, or business intelligence analysis required.
  • Expertise in SQL, ETL, and API development required.
  • Strong understanding of cybersecurity telemetry metrics.

Responsibilities

  • Engineer and maintain stable data schemas and API integrations for live threat feeds.
  • Write, test, and debug efficient risk algorithms using Python, SQL, and cloud frameworks like Databricks.
  • Build and maintain dynamic Qlik dashboards for real-time cyber health metrics.
  • Interpret cyber directives and create data-driven impact analysis models.
  • Clean and normalize disorganized automated log streams for predictive risk modeling.
  • Collaborate with Cyber A&A specialists to align analytics outputs with RMF control evidence.

Benefits

  • 100% of premiums covered for employee's medical, dental, and vision insurance; subsidies for spouse and dependents.
  • Short and long term disability plans provided.
  • 401(k) match up to 10% of salary contributions.
  • Comprehensive training and development programs offered.
  • 11 paid holidays and PTO starting at 15 days annually.
Full Job Description
Job Type

Full-time

Description

NexGen Data Systems is seeking a highly technical Senior Analytics Specialist to develop data-driven cyber readiness solutions, engineer secure data processing pipelines, and perform advanced directive impact modeling for USTRANSCOM. The scope of this project involves manipulating massive cybersecurity telemetry feeds to support the active monitoring systems across the combatant command.

The Analytics Specialist - Senior will be responsible for creating automated data extraction frameworks, maintaining secure database schemas, and deploying threat algorithms within the command's central Cybersecurity Readiness Framework (CRF) dashboard environment.

Roles & Responsibilities
  • Engineer, optimize, and maintain the stable data schemas and API integrations that ingest live threat feeds into the central CRF dashboards.
  • Write, test, and debug highly efficient risk algorithms utilizing Python, SQL, and advanced cloud data frameworks (such as Databricks).
  • Build and maintain dynamic dashboards and telemetry visuals within Qlik to reflect near real-time organizational cyber health metrics with under 24-hour latency.
  • Interpret newly published national, DoD, and USTRANSCOM cyber directives, creating data-driven impact analysis models to project compliance posture changes.
  • Clean, normalize, and parse disorganized automated log streams (such as raw scan files or network device outputs) to enable predictive risk modeling.
  • Collaborate closely with Cyber A&A specialists to ensure that data analytics outputs align directly with core RMF control evidence parameters.

Other Duties: Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Requirements

Desired/Required Skills:
  • Clearance Required: Active Department of Defense Top Secret/SCI (Tier 5 Investigation) required.
  • Location: On-site at Scott Air Force Base (AFB), IL, with hybrid delivery configurations as approved by the Government.
  • Education: Bachelor's degree in Data Science, Computer Science, Statistics, or 5 years' experience with a relevant technical certification.
  • REQUIRED Cyber Baseline: Active DoD 8570.01-M / DoDM 8140 IAT Level II or higher certification (e.g., Security+ CE, CySA+, or Data+).
  • REQUIRED Computing Environment: Active professional certification or documented training in Python (Advanced Spec), Databricks Engineering, or Qlik Sense Analytics.
  • REQUIRED Foundational Qualification: Defense Cyber Crime Center (DC3) Cyber 101 course completion.
  • 6-9 years' relevant data engineering, algorithm development, or business intelligence analysis experience.
  • Expert hands-on proficiency writing raw SQL queries, developing Extract-Transform-Load (ETL) data pipelines, and structuring API endpoints.
  • Clear understanding of cybersecurity telemetry metrics, including vulnerability severity scores (CVSS), asset criticality tiers, and compliance tracking variables.

Benefits:
  • Company covers 100% of premiums for the employee's medical, dental, and vision insurance and subsidizes premiums for spouse and dependents.
  • Company provides short and long term disability plans.
  • 401(k) match up to 10% of the employee's salary contributions to 401(K) plan.
  • Comprehensive training and development program.
  • 11 paid holidays and paid time off (PTO) accrual level starts at 15 days annually.

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