Solar Performance Analyst, Operations Engineering

Invenergy

Chicago, IL

Full Time

Posted October 29, 2026

$77k - $98k

Renewable Energy Development

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Listing evidence and provenance

Source: Workday View original listing
Freshness: Open in the current public read path; this is not an employer guarantee.Last observed October 30, 2026
Classification: Modern power-system classification not yet published for this listing.Legacy source industry field: Renewable Energy Development
Pay provenance: Employer-provided pay

Job Description

The Data Analyst, Operations Engineering primarily provides technical support to a large Solar and Storage operating fleet by transforming data into actionable insights & business intelligence, optimizing fleet performance, and guiding data-driven decisions.

Key Responsibilities

Curate metrics, KPI’s, and reports that transform equipment information into operational intelligence.
Clean and process raw data to remove outliers, errors, and inconsistencies.
Transform data into suitable formats for analysis and reporting.
Design and maintain reports, dashboards and visualizations that communicate insights to stakeholders.
Collaborate closely with operations engineering, asset management, and site management teams to build tools to detect and diagnose underperformance issues.
Manage recurring metric reporting processes and identify actionable items.
Perform ad-hoc analyses to quantify energy and revenue impact from operational events.
Model expected performance scenarios under various operational decisions.
Model performance impact of software and hardware upgrades.
Support regulatory reporting requirements such as NERC GADS.
Utilize the Aveva PI system tools to create real time analyses.

Requirements

Bachelor’s degree in Engineering, Computer Science, Data Analytics, Information Systems, or a related technical discipline.
2+ years of experience working with operational, industrial, or renewable energy asset data in an analytics, engineering, or performance monitoring role.
Familiarity with Excel and Microsoft Office.
Strong communication skills.
Attention to detail and commitment to data accuracy.
Excellent problem solving and critical thinking abilities.
Familiarity with the Aveva PI software suite.
Familiarity with database environments & query languages (SQL preferred).
Proficiency with business intelligence tools such as Power BI or Tableau.
Python or other programming experience.
Experience with solar modeling tools such as PVSyst.