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Data Analyst II

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: TRC Companies
Full Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
  • Engineering
    Data Science Manager
Salary/Wage Range or Industry Benchmark: 70587 - 85000 USD Yearly USD 70587.00 85000.00 YEAR
Job Description & How to Apply Below

Locations: Denver, Colorado

Categories: Energy Efficiency

Req : 26675

About Us

TRC, Member of WSP, is a global consulting environmental and engineering firm and one of the top design firms in the energy sector. Together, TRC and WSP’s 83,000 experts create positive, long-lasting impacts for our communities and our clients in the power and energy, transportation and infrastructure, environmental, and property and buildings sectors. As part of our team, you’ll discover a world of opportunities to connect with innovative thinkers, forge your path, and have fun tackling the world’s most challenging projects.

At TRC, Member of WSP, you can have a rewarding career on every level.

TRC has long set the bar for clients who require more than just engineering, combining science with the latest technology to devise innovative solutions that stand the test of time. From pipelines to power plants, roadways to reservoirs, schoolyards to security solutions, clients look to TRC for breakthrough thinking backed by the innovative follow-through of an industry leader.

We recognize that the expertise of our staff is our strongest asset, so we generously reward employees for successful performance and invest in their careers through training and the development of new skills and certifications.

Overview

TRC’s Advanced Energy Strategic Deployment team is seeking a Data Analyst II to support data management, analysis, and reporting across strategic projects that advance the energy sector. The successful candidate will be responsible for analyzing metrics and building reports for a variety of projects, with the knowledge and expertise to create, edit, and modify data sets and produce accurate, timely, and clear analytics for the team and our clients.

The ideal candidate is an independent, detail-oriented contributor with a positive attitude who excels at multitasking while maintaining a high degree of accuracy, efficiency, and reliability. They will bring curiosity about emerging tools—including AI—and a desire to apply data analytics, visualization, and geospatial techniques to real-world advanced energy challenges. A sufficient understanding of the energy industry to interpret the data required for the position is preferred.

Why Consider This Job Opportunity?

  • Advance your career through ongoing learning and development
  • Maintain a healthy work-life balance with supportive policies
  • Collaborate within an inclusive and respectful team environment
  • Contribute to a rapidly expanding and future-focused industry
  • Support impactful projects driving the clean energy transition
Responsibilities
  • Provide valuable insight to program teams based on the data collected, enabling informed decision-making.
  • Build and maintain customized dashboards and reporting for clients, subcontractors, management, and cross-functional team members in our Customer Relationship Management (CRM) database.
  • Sort through and interpret high quantities of data, identifying, diagnosing, and correcting discrepancies to ensure accuracy.
  • Develop data models through reporting and visualization to support decision-making.
  • Monitor and report program key performance metrics and provide updates to management.
  • Support program platform tasks, including configuration, dashboards, and data import/export as directed.
  • Provide input for troubleshooting, process improvements, automation, and system enhancements.
  • Research and present market intelligence and customer trends to support strategic advanced energy projects.
  • Explore and pilot AI-enabled and geospatial (GIS) approaches to streamline data-intensive processes and enhance analysis.
Qualifications
  • Bachelor’s degree in Data Analytics, Computer Science, Geography/GIS, Engineering, Environmental Studies, a related field, or equivalent…
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