Pre-Construction Analytics & Data Ops Specialist

IES Communications; Tempe (AZ); On-site; USD 70,000 - 110,000; Full time

Job summary

IES is seeking a Pre-Construction Data Ops Specialist to build, maintain and analyze data operations within Pre-Construction. You will work with compliance and managers to evaluate ongoing operations and provide data reports and visualizations to drive continuous improvement.

Responsibilities include creating PowerBI and Excel reporting tools, performing in-depth analysis on estimates and projects, and training staff on software tools. Expect strong data skills and communication.

Qualifications

• Minimum three years training or related role experience.
• Bachelor degree in Engineering, Data Science or CS preferred.
• Proficiency with Excel and data analysis tools.
• PowerBI experience is preferred.

Responsibilities

• Develop PowerBI and Excel reporting tools for departmental metrics.
• Provide in depth analysis and recurring report data on estimates and projects in progress.
• Interview PMs and managers to conduct root cause analyses and drive corrective actions.
• Build reporting metrics using Spectrum and IESOS ERP for fade/gain and process issues.
• Create business tools to automate data and improve efficiency across the organization.
• Deliver training on software applications via webinars and virtual classrooms.

Skills

PowerBI

MS Excel

Data analysis

Data visualization

Root cause analysis

Education

Bachelor’s Degree in Engineering/Data Science/CS

3+ years training or related role

Tools

Spectrum

IESOS ERP

MS Project

Microsoft Office

Job description

IES is seeking a Pre-Construction Data Ops Specialist to build, maintain and analyze data operations within Pre-Construction. You will work with compliance and managers to evaluate ongoing operations and provide data reports and visualizations to drive continuous improvement.

Responsibilities include creating PowerBI and Excel reporting tools, performing in-depth analysis on estimates and projects, and training staff on software tools. Expect strong data skills and communication.