Data Analyst/Analytics Engineer

About the role

Support AI Security risk assessments and build scalable, production-ready analytics solutions.

Tasks

• Develop and maintain analytics capabilities for a Security Review Risk Framework
• Build Python-based analytical models, statistical analyses, and automation workflows
• Develop production-ready code with appropriate testing, validation, and quality controls
• Translate business, security, and risk requirements into technical analytical solutions
• Define metrics, KPIs, and risk indicators
• Analyze data to identify trends, patterns, anomalies, and security/risk insights
• Create technical documentation, analysis specifications, and architecture summaries
• Partner closely with security, risk, and business stakeholders

Requirements

• Strong hands-on Python experience
• Strong SQL skills
• Experience with Pandas, NumPy, SciPy, or similar analytical libraries
• Strong background in data analysis and statistical analysis
• Experience developing production-ready analytical solutions
• Experience with testing, validation, and data quality
• Ability to translate business requirements into technical solutions
• Strong communication and technical documentation skills
• Preferred: Experience with Security Analytics, Risk Analytics, Cybersecurity, Compliance, or Governance
• Preferred: Experience with AI Security / AI Risk
• Preferred: Cloud experience with AWS, Azure, or GCP
• Preferred: Experience with ETL/ELT and data processing workflows

Schedule

• Contract

How to apply

• DM or share your resume.
• Send your updated resume along with email ID, phone number, current city, LinkedIn profile, and work authorization.

Location

• Atlanta, GA / Raleigh, NC / Charlotte, NC