Duration: 02 years long contract with possible extension
Industry: Energy & Utility Industry
Payrate: $40-$50/hrs on w2
Shift hour: 8-4 or 9-5
Hybrid schedule, 3 days/week in office locations- (Plainfield, IN/ Parkway Harrison, OH/ Raleigh, NC/ Charlotte, NC/ St. Petersburg, FL)
Project/Site City, State, Zip: Charlotte, NC 28202, multiple sites across the Carolinas service area
Is Per Diem Approved for this position? Yes, if eligible.
Hybrid- Typical Weekly Schedule: 40 Hours, Monday through Friday, with travel to sites in North and South Carolina 3 days per week
Job Description:
This role is an approximately 24-month assignment supporting multiple energy storage and solar construction project teams.
Site visits which include field observations of project progress, interaction with vendor project staff, change order impact evaluations, and support of regular project status updates will be required.
The applicant shall demonstrate Subject Matter Expertise in field scheduling for large construction projects and use of Primavera (P6), including the following:
• On-site field experience observing project progress and tracking performance via schedule updates • Review and analysis of project schedules in P6, including basis and qualifications • Incorporating the implementation details into the schedule (once implementation contracts are awarded) • Defining and analyzing the project schedule baseline in P6 • Development of a site integrated schedule in P6, including other site work activities that either impacts or is impacted by the project • Work with contract vendors to gather and verify updated schedules for projects • Maintenance and update of site integrated schedule • Support development of recovery plans, as necessary • Support development of project changes, as necessary • Review Project Change Requests for impact to schedule • Support project scheduling required for Funding submittals • Support project reporting (Project Status Reports, etc.) as necessary with project team • Schedule adherence reporting • Schedule variance analysis
