AUTOMATION & DATA ANALYST

• Bachelor’s degree in science base program or business administration (high preference for a degree in Data Analytics, Computer Science, or Engineering). Relevant experience may be considered in lieu of degree.
• Strong analytical and problem-solving abilities.
• Excellent communication and stakeholder management skills.
• Ability to work independently and manage multiple priorities.
• Detail-oriented with a focus on accuracy and continuous improvement.
• Effective time manager with high organization & managing competing priorities; ability to prioritize and plan operational workload, balance competing priorities.
• Strong attention to detail, observation, organization, analytical, problem-solving & leadership skills.
• Strong technical and IT skills, toolset usage, planning and problem solving, including applicable technology, tools & industry best practices.
• Excellent communication, listening & presentation (written & verbal)

in English.

• Work effectively with high tolerance of ambiguity and ability to follow instructions.
• Assertive, self-starter that sets initiative and goals.
• Critical thinking, scenario planning, & risk mitigation techniques and systems.
• Ability to travel (All US States & International), up to 75% of time.
• Office location at Moses Lake, WA, Milwaukie, OR, remote upon approval. Demonstrated ability to work remotely effectively with no impact to results.

• Master’s degree in Data Analytics, Computer Science, Engineering, Business, or a related field.
• Minimum of three (3) years managing complex technical teams.
• Minimum of two (2) years of experience in data analysis, automation, or related roles.
• Strong proficiency in data analysis tools (Excel, SQL, Python, or R).
• Experience with BI tools (Power BI, Tableau).
• Familiarity with automation platforms (Power Automate, UiPath, Automation Anywhere, etc.).
• Knowledge of databases, ETL processes, and data modeling.
• Basic understanding of APIs and system integrations.
• Experience with cloud platforms (Azure, AWS, or GCP).
• Knowledge of Lean/Six Sigma or process improvement methodologies.
• Experience in scripting or programming for automation (Python, VBA).
• Familiarity with ERP/MES systems in manufacturing environments.

Please note that the salary information shown below is a general guideline only.

Salaries are based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range: $70K-$120K

We offer the following benefits: compensation, medical, vision, and dental insurance benefits.

• You can work in an environment where teamwork is encouraged and where you have the opportunities for personal and professional growth.
• Generous PTO: Your time off is important!
• Medical/Dental/Vision: Majority of premiums paid by MLI. Includes virtual medical and mental health options.
• Additional Health Coverage: FSA and HSA available. Voluntary insurance options include life and AD&D, accident, hospitalization, and critical illness.
• Earn More: We offer a generous discretionary bonus program in addition to salary/wage.
• 401 (K) Savings Plan: Jump start your retirement with MLI’s employer matching contributions.
• Company – Paid Benefits: Long-Term Disability Insurance, EAP, Fitness Club Membership Program, & Education Assistance Program.
• Additional Benefits: We provide position-based clothing, travel expenses, training and relocation assistance available.

Duties are generally performed indoors in an office and high purity manufacturing environment.

The noise level in the work environment is usually quiet to moderate.

When working in the presence of safety hazards, the employee is expected to follow company safety rules and use proper personal protective equipment such as: hardhat, safety glasses and full leather shoes, etc.

Moses Lake Industries is an Equal Employment Opportunity Employer.

We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by law.