Ops Scheduling & Data Insight Specialist (Overtime)

Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 27,552,000 - 38,573,000; Full time

Benefits offered by this job

Free Pittsburgh Regional Transit bus /

Tuition benefits

Job summary

Carnegie Mellon University seeks an Operations Technical Specialist to administer crew scheduling, attendance, and overtime under the CBA. You will audit master schedules across Excel, Clockview, and Maximo while delivering labor metrics and dashboards for leadership.

You will lead onboarding support and provide technical assistance across departments, ensuring accurate data and compliant overtime practices in a fast-paced environment.

Qualifications

• Two to four years of experience in workforce scheduling, operations administration, data analytics or human resources.
• Experience with unionized workforces and CBA rules is highly preferred.
• Proven mastery of Microsoft Excel and Google Sheets; strong digital literacy.

Responsibilities

• Manage overtime, rotation of overtime, and verify coverage for trades.
• Maintain auditable logs of overtime offers, acceptances, refusals, and forces.
• Build and update dashboards and tracking tools for visibility and management insights.
• Analyze attendance and scheduling patterns to identify trends and bottlenecks.
• Coordinate with IT to enhance timekeeping systems (Clockview) and data reporting.
• Provide onboarding support and guidance for staff and new hires.

Skills

Excel

Google Sheets

Data analytics

Dashboarding

Scheduling

Time & attendance

CBA knowledge

Maximo

Clockview

IT troubleshooting

Onboarding support

Education

High School Diploma or GED

Tools

Clockview

Maximo

Excel

Google Sheets

Job description

Carnegie Mellon University seeks an Operations Technical Specialist to administer crew scheduling, attendance, and overtime under the CBA. You will audit master schedules across Excel, Clockview, and Maximo while delivering labor metrics and dashboards for leadership.

You will lead onboarding support and provide technical assistance across departments, ensuring accurate data and compliant overtime practices in a fast-paced environment.