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Junior Cloud Security Analyst

Job in Badger, Fairbanks North Star Borough, Alaska, USA
Listing for: Openkyber
Full Time position
Listed on 2026-08-05
Job specializations:
  • IT/Tech
    Cybersecurity, Information Security & Data Protection
Salary/Wage Range or Industry Benchmark: 85000 - 120000 USD Yearly USD 85000.00 120000.00 YEAR
Job Description & How to Apply Below
Location: Badger

Role: Security Analysts Risk Management

Interview Process: 1 round, Virtual/Online

Duration of the

Contract:

12 months

Location: Columbia SC

Work Location: Hybrid (3 days in office, 2 days remote). Candidate

Location:

Candidate MUST be a SC resident. No relocation allowed.

This position supports the agency's cybersecurity and data protection operations, with a focus on DLP, Insider Risk Management, Copilot/AI data security, auditing, vendor security reviews, and device patching.

Required Skills:

  • Bachelor's degree in cybersecurity, information technology, computer science, or a related field is required; equivalent experience may be considered.
  • Security certification such as CompTIA Security+ or GIAC Security Essentials (GSEC) is required.
  • 3-5+ years of experience supporting enterprise cybersecurity operations, including threat monitoring, incident response, and risk analysis.
  • 3+ years of hands-on experience working with data protection technologies such as data loss prevention (DLP), insider risk management tools, and data security posture management for AI (DSPM for AI).
  • 3+ years of experience reviewing and triaging data related security alerts, analyzing access and movement of sensitive information, documenting findings, and escalating incidents according to established procedures.
  • 3+ years of collaborating with technical and nontechnical teams to resolve security issues and supporting

Preferred

Skills:

  • Certifications:

    Microsoft SC100, SC200, CEH, or an Associate level CISSP.
  • Experience working with AI driven security tools, Cortex, particularly DSPM platforms designed to manage sensitive data used by AI systems.
  • Experience fine tuning DLP policies, refining insider risk alerts, or supporting data governance programs.
  • Familiarity with Azure security, identity-based access controls, conditional access, and security automation or scripting.
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