Industrial Engineer – Solar Operations & Data Analytics

Position Summary

Essential Duties

• Analyze data across the solar project lifecycle to identify bottlenecks, delays, productivity issues, and opportunities for improvement.
• Track project flow from sale through design, permitting, installation, inspection, PTO, and activation.
• Analyze cycle times, aging, work in progress (WIP), productivity, backlog, throughput, conversion rates, cancellations, rework, revenue, and MW throughput.
• Identify where projects are accumulating in the pipeline, perform root-cause analysis, and determine the operational and financial impact of delays.
• Develop operational benchmarks and identify performance gaps across teams, markets, crews, and regions.
• Build and maintain dashboards that provide real-time or near-real-time visibility into project pipeline, backlog and aging, cycle times, quality, inspection pass rates, PTO, installer/crew productivity, regional performance, forecast vs. actual production, and operational constraints.
• Design reporting for both front-line managers and executive leadership, with the most important issues immediately visible.
• Map and analyze operational workflows and recommend process changes that improve speed, quality, customer experience, and profitability.
• Support continuous-improvement initiatives across Operations, Design, Construction, Supply Chain, and Customer Experience.
• Establish standard operating metrics and definitions across teams and track the impact of improvement initiatives.
• Extract, clean, combine, and analyze data from CRM, project management, ERP, design, installation, and other operational systems.
• Develop a consistent source of truth for key operational metrics and partner with IT/Data teams to improve data quality and reporting infrastructure.
• Automate data collection and recurring reporting to reduce reliance on manual spreadsheets.

Minimum Qualifications

• Bachelor’s degree in Engineering, Business Analytics, Data Analytics, Operations, Mathematics, Computer Science, or a related quantitative field, or equivalent practical experience.
• 2–5+ years of experience in operations analytics, industrial engineering, business intelligence, project operations, process improvement, or a similar analytical role.
• Experience working with large operational datasets.
• Strong Excel skills, including PivotTables, Power Query, formulas, and data visualization.
• Demonstrated experience building Power BI, Tableau, or similar dashboards.
• Strong analytical and problem-solving capabilities with the ability to identify patterns in data and translate them into business actions.
• Strong communication skills and ability to work with both technical and non-technical teams.

Preferred Qualifications

• Experience in solar, energy, construction, home services, telecommunications, logistics, or another project-based operational business.
• Experience with Salesforce or other CRM platforms, SQL, Power BI or Tableau, and Python or other data-analysis tools.
• Knowledge of Lean, Six Sigma, process improvement, or operational excellence.
• Experience analyzing field-service or installation operations.
• Understanding of project lifecycle management and WIP management.

Success in the Role

Ideal Candidate Profile