AUTOMATION & DATA ANALYST

Moses Lake Industries•Moses Lake, WA

4d•$70,000 - $120,000•Onsite

About The Position

Moses Lake Industries, Inc. (MLI) is a rapidly growing producer of ultra-pure chemical products, serving the semiconductor, silicon and flat-panel screen industries worldwide. We deliver world class products to the leaders of the industries we serve. Handling and working around hazardous materials and chemical manufacturing equipment is routine. You will be working for a midsized company with great people and a history of steady growth and profitability. Sound like a match? If you are prepared to work in an exciting and rewarding environment, we look forward to considering your experience and qualifications.

Requirements

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) skills 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.

Nice To Haves

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.

Responsibilities

Identify opportunities to automate repetitive, manual, or inefficient processes.
Design, develop, and implement automation solutions using tools such as Power Automate, Python, RPA platforms, or similar technologies.
Collaborate with cross-functional teams to streamline workflows and increase operational efficiency.
Monitor and maintain automated processes, ensuring reliability and scalability.
Collect, clean, and analyze large datasets from multiple sources.
Develop dashboards and reports using tools such as Power BI, Tableau, or Excel.
Translate complex data into clear insights, trends, and actionable recommendations.
Perform root cause analysis to support continuous improvement initiatives.
Build and maintain data pipelines and integrations between systems.
Ensure data accuracy, integrity, and consistency across platforms.
Support data governance and compliance practices.
Work closely with business units (e.g., operations, finance, QA, supply chain) to understand requirements.
Communicate findings and automation solutions to technical and non-technical stakeholders.
Provide training and documentation for implemented tools and processes.
Uphold all MLI policies and “MLI Code of Conduct.”
Strict compliance with Environmental and Safety regulations.
Compliance and individual accountability with the MLI Quality System and ISO Registration is required.
It is the employee’s commitment to ensure that the Company’s actual practices and procedures are exercised as directed.
Perform other duties as assigned to support and sustain a high performing team.

Benefits

compensation
medical, vision, and dental insurance benefits
opportunities for personal and professional growth
Generous PTO
Majority of premiums paid by MLI
Includes virtual medical and mental health options
FSA and HSA available
Voluntary insurance options include life and AD&D, accident, hospitalization, and critical illness.
generous discretionary bonus program in addition to salary/wage
employer matching contributions
Long-Term Disability Insurance
EAP
Fitness Club Membership Program
Education Assistance Program
position-based clothing
travel expenses
training
relocation assistance available