Facility Data Analyst

Harris•Bellingham, WA

71d•Hybrid

About The Position

As a Facility Data Analyst, you will work to support the development and deployment of cutting-edge fault detection and diagnostic services and will have a continual impact on a wide portfolio of Harris customers. You will work with customers to develop both templated and custom data visualizations to help them further their business objectives. You will maintain and grow our library of fault detection and diagnostic routines to identify mechanical malfunctions, control systems problems, and opportunities for energy savings. You will analyze operational data from real buildings to understand cause‑and‑effect between control strategies, mechanical performance, and energy use, and translate those findings into actionable recommendations. You will also integrate internal and external programs and platforms and develop new software and process tools as required to automate and grow our capabilities.

Requirements

Bachelor’s degree in computer engineering, computer science, statistics, mechanical engineering, construction science, or building sciences.
Experience (or relevant coursework) in computer programming or data analysis.
Interest in physical systems and how they behave in the real world.
Enjoy working with data that describes machines, sensors, and environments.
Curiosity about why things move, fail, drift, or consume energy.

Nice To Haves

Working with electronics, sensors, or instrumentation (Arduino, Raspberry Pi, PLCs, etc.)
Robotics clubs, maker spaces, FIRST Robotics, or similar hands-on teams
Coursework or projects involving mechanical systems, thermodynamics, controls, or circuits
Building, modifying, or troubleshooting physical systems (HVAC, vehicles, automation, lab equipment)
Analyzing time-series data from physical processes (temperature, flow, pressure, vibration)

Responsibilities

Support the development and deployment of fault detection and diagnostic services.
Develop templated and custom data visualizations for customers.
Maintain and grow the library of fault detection and diagnostic routines.
Analyze operational data from real buildings to understand cause-and-effect between control strategies, mechanical performance, and energy use.
Translate findings into actionable recommendations.
Integrate internal and external programs and platforms.
Develop new software and process tools to automate and grow capabilities.