Digital Solutions Analyst: Lead AI & Data-Driven Improvements

Atlas Copco Group; Rock Hill (SC); On-site; USD 85,000 - 130,000; Full time

Benefits offered by this job

Medical insurance

Maternity/paternity leave

Employee assistance programs

Gym membership reimbursement

Wellness rewards program

Vacation & holidays

Job summary

Atlas Copco Group seeks a Digital Solutions Analyst to drive business value by identifying and enabling digital tools across our Rock Hill, SC site. You will partner with business and IT teams to implement AI, analytics, and automation while ensuring adoption and sustainability of solutions.

The role emphasizes defining requirements, supporting tool evaluation, and delivering data‑driven improvements within a fast‑paced manufacturing environment.

Qualifications

• Bachelor level degree in a relevant field (Engineering, Information Systems, Data Analytics) or equivalent.
• 2+ years of experience in a similar role within manufacturing/digital transformation.
• Experience with LEAN manufacturing and continuous improvement projects.

Responsibilities

• Lead large‑scale cross‑functional projects and ensure on‑time delivery.
• Evaluate and implement digital tools, platforms, and AI initiatives to improve efficiency.
• Translate business needs into functional requirements and specifications.
• Coordinate software implementations, including UAT, testing, and deployment readiness.
• Support data insights, dashboards, and reporting to enable data‑driven decisions.

Skills

Project management

Business analysis

Stakeholder engagement

Power BI

Power Apps

SQL

Education

BS in Engineering or related field

Tools

Power BI

Power Automate

Power Apps

SAP

Job description

Atlas Copco Group seeks a Digital Solutions Analyst to drive business value by identifying and enabling digital tools across our Rock Hill, SC site. You will partner with business and IT teams to implement AI, analytics, and automation while ensuring adoption and sustainability of solutions.

The role emphasizes defining requirements, supporting tool evaluation, and delivering data‑driven improvements within a fast‑paced manufacturing environment.