Fortrex, Inc. Ltd.
AI Native HR Data Analyst
Remote · Full-time · North America
- Compensation
- Not defined
- Category
- LLM applications
- Employment
- Full-time
- Workplace
- Remote
Technologies
Python
Go
- SQL
Benefits
- Vision insurance
- Dental insurance
- Medical insurance
- Learning budget
About the role
General Information Position Title AI Native HR Data Analyst Location United States, Georgia, Dunwoody Date Published 10-15-2026 Area Of Interest Human Resources Working Time Full-Time Type Of Contract Permanent Work Typ
WHO YOU ARE
You are restless when a task shows up for the third time, curious about the story behind a number, and comfortable turning a vague question into something concrete, with AI as a trusted partner but your own judgment as the final check. You want your work to support the people who keep the food supply safe.
If that sounds like you, we’d love to hear from you. Apply today!
WHO WE ARE
- Leader in food safety solutions for both contract sanitation and chemistry in the food processing industry.
- Over 10,000 dedicated team members across North America.
- Corporate headquarters in Atlanta, GA with team members working in over 250 plants throughout North America.
- Over 50+ years of experience in creating long-lasting partnerships.
OUR MISSION
We protect the food supply by eliminating risks so families everywhere can eat without fear.
• Protect What Matters: We are in service of safety at every step, ensuring the health of everyone is central to all we do – from plant team members to consumers.
• Deliver On Our Promises : We speak honestly and are dedicated to doing the right thing by upholding ethical standards and following through on our commitments to our teams, our customers, and our business.
• Win as a Team: We believe in the power of collaboration, uniting our diverse strengths while working hand-in-hand with our team members and customers to unlock potential and achieve stronger results together.
• Advance a Safer Future: We are committed to innovating more effective, sustainable, and cost-efficient food safety solutions to develop a safer world for all.
JOB DESCRIPTION
This role goes beyond traditional HR reporting. You will build the data infrastructure and AI-assisted workflows that empower HR, Safety, and Compliance leaders ask better questions and get faster, more trustworthy answers. Job duties include but are not limited to:
• AI-Augmented Analysis: Use Claude and other AI tools to accelerate exploratory, draft and refine SQL/queries, identify trends across HRIS and workforce datasets, and validate findings before they reach leadership.
Treat AI as a thinking partner that extends your perspective and capabilities, not a shortcut that replaces sound judgment.
• Workflow & Automation Design : Identify repetitive, manual reporting processes and redesign them as automated, sustainable workflows — reducing turnaround time and freeing capacity for higher-value analysis. Build with reusability in mind so workflows outlast any single request.
• Insight Engines, Not Just Reports: Move past static reporting toward systems that surface trends, anomalies, and "why" behind the numbers — proactively flagging issues in employee engagement, turnover, safety compliance, and workforce planning before they're asked about.
• Data Integrity and Management: Ensure accuracy, consistency, and completeness of HR data across HRIS, people management systems, and adjacent platforms. Conduct regular audits and build automated checks to catch discrepancies early.
• Dashboards Built to Last: Design clear, visually compelling, and low-maintenance dashboards and reports (Power BI, Tableau, Excel, and AI-assisted tooling) that non-technical stakeholders can actually use — and that don't break the moment a data source shifts.
• Cross-Functional Collaboration: Partner with HR, Compliance, Safety, Operations, Finance, and IT to understand reporting needs, align metrics to organizational goals, and translate ambiguous questions into concrete, buildable deliverables.
• Continuous Improvement: Identify smarter ways to collect, model, and communicate data, and take ownership of implementing those improvements rather