AI Data Analyst / Analytics Engineer
Company: Kforce Inc
Location: Atlanta, GA (Remote)
Salary: $124.8k - $135.2k per year
Type: Full-time
Remote: Yes
Posted: 2026-10-30
About this role
Responsibilities
Kforce has a client that is seeking an AI Data Analyst/Analytics Engineer in Atlanta, GA. In this role, you will design and deliver analytics capabilities that support AI Security risk assessments and decision-making through scalable, production-ready analytical solutions. Key Responsibilities:
- AI Data Analyst/Analytics Engineer will develop and maintain the Security Review Risk Framework analytics engine
- Build Python-based analytical models, statistical analyses and automation workflows
- Create production-ready code with appropriate testing, validation and quality controls
- As an AI Data Analyst/Analytics Engineer, you will translate business and security requirements into technical analytical solutions
- Produce clear technical documentation, analysis specifications and architecture summaries
- Partner with security and risk stakeholders to define metrics, reporting and risk insights
Requirements
- AI Security/AI risk experience
- Experience building analytical models and statistical analyses
- Experience building automation workflows
- Experience developing analytics, metrics, reporting and risk insights
- Strong Python development skills
- Strong technical documentation skills
- Ability to develop production-ready code with appropriate testing, validation and quality controls
- Ability to translate business and security requirements into technical analytical solutions
- Ability to produce analysis specifications and architecture summaries
- Ability to work effectively with security and risk stakeholders
- Must be located outside Mountain and Pacific time zones
Nice To Have
- Atlanta, Raleigh or Charlotte location
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location...