Data Analyst

Schweitzer Engineering Laboratories•Pullman, WA

11d

About The Position

This position is part of an early push to change how Manufacturing Operations uses data day to day. The Data Analyst joins the Process Control and Reliability team at a time when data is becoming central to how equipment performance, reliability, and maintenance decisions are made across SEL. Process Control and Reliability focuses on how manufacturing equipment behaves over time and why failures happen. The goal is to reduce unplanned downtime and help teams prevent issues instead of reacting after the fact. This position plays a major part in delivering critical data to inform decision makers. In this role, the Data Analyst works closely with engineers, technicians, and system owners to build and improve how manufacturing equipment data is collected, transformed, and used. That includes strengthening data sources, improving indicators, and applying statistical methods that support root cause analysis and predictive maintenance efforts. The work directly supports Manufacturing teams by giving them information they can trust and act on. This role shapes how data supports Manufacturing Operations and reinforces SEL Values, Principles of Operations, and World Class Manufacturing principles through everyday decisions and practices.

Requirements

Related technical BS degree in Math, Statistics, Social Science, or related experience
2+ years of experience
Strong knowledge of MS Word, MS Excel, and MS Access
Strong analytical, judgment, organizational, and project management skills
Strong attention to detail
Strong writing, documentation, and speaking skills
Ability to learn and communicate technical/scientific information
Ability to work independently as well as cooperatively in a team environment
Ability to learn new skills and assume new responsibilities
Background check results satisfactory to SEL
Negative drug test result(s)

Nice To Haves

Experience applying statistical skills in two of the following environments: manufacturing, electronics design or business

Responsibilities

Analyze data using established statistical methods and deliver accurate, actionable, and timely results.
Maintain and improve indicators and metrics.
Use and improve established data sources, research alternative data sources when needed. Understand how additional data sources improve integrity and reporting.
Review, validate, and clean data; resolve and mitigate data inconsistencies.
Develop methods to avoid data inconsistencies at the point of data entry.
Collaborate with data owners to make system improvements.
Follow and apply SEL Values, Principles of Operations, and World Class Manufacturing Principles.
Understand. Create. Simplify.
Other duties as assigned.

Benefits

Competitive pay
Superior benefits
Inspiring work
100% employee owned
Retirement benefits include an employer funded stock ownership plan (ESOP) and personal 401(k) options
Top tier medical, prescription, dental, vision, life, and disability insurance
10 paid holidays
Annual vacation accrual starting at 12 days
9 paid sick days
Paid family and medical leave that covers 90% of your pay
STEM courses
Apprenticeships
Tuition assistance
Engineering development programs
Wellness benefits
Fertility benefits
Adoption benefits
Flexible spending benefits