Test Operations Research Analyst III (Lehi)

Title:

Test Operations Research Analyst III
Location

:

Lehi, UT (hybrid schedule.

3x/wk onsite)
Target Start Date

:

ASAP
Type: Long-Term Contract (2-3+ years)
Pay

Rate

:

$52.00-$60.85/hr

Summary
Our client, a global leader in advanced autonomous and robotic solutions and creator of the industry's most advanced unmanned command and control solution for vehicle operations, is seeking a

Test Operations Research Analyst – Level 3.

The Test Operations Research Analyst III designs and applies advanced

statistical and analytical methods

to optimize testing and validation of complex robotic and autonomous systems. This role translates large-scale test data into

actionable insights

that improve system performance, reliability, and readiness.
Key Responsibilities

Design and execute

statistically sound test plans, experiments, and data collection strategies .
Analyze large datasets to identify

trends, performance metrics, and failure modes .
Define and track

key system KPIs

(e.g., autonomy performance, reliability metrics).
Develop and manage

end-to-end data collection frameworks

across hardware, software, and integrated systems.
Support

HIL/SIL and simulation environments

for realistic system validation.
Collaborate with engineering and test teams to

validate system performance and resolve issues .
Perform

hands-on testing and debugging

across embedded, mechanical, electrical, and software systems.
Deliver

data-driven insights and recommendations

to improve system design and reliability.
Required Qualifications

Bachelor's degree in

Operations Research, Mathematics, Statistics, Systems Engineering, or related field .
7–10+ years of experience in

data analysis, operations research, or test engineering

for complex systems.
Strong expertise in

statistical analysis, experimental design, and data modeling .
Proficiency in

Python, C++, MATLAB, or similar tools .
Experience working with

large datasets and translating analysis into engineering insights .
Solid understanding of

systems engineering and product development lifecycles .
Strong

cross-functional collaboration and communication skills .
Preferred

Advanced degree (MS/PhD) in a quantitative field.
Experience with

robotics or autonomous systems .
Familiarity with

ROS/ROS2, HIL/SIL, and simulation environments .
Knowledge of

embedded systems and communication protocols (CAN, I2C, SPI) .

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