AUTOMATION & DATA ANALYST

AUTOMATION & DATA ANALYST MOSES LAKE, WA 98837 Apply Overview Salary Range $70,000.00 - $120,000.00 Salary Level Experienced Position Type Full Time Job Shift Day Education Level 4 Year Degree Travel Percentage Up to 25% Category SCM Apply Description We value: Safety, Integrity, Ownership, Collaboration, Service, Sustainability 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. Shift/Hours/Location: M-F, 8am-5pm, Onsite, Moses Lake, WA WHAT YOU WILL BE WORKING ON 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. QUALIFICATIONS 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. PREFERRED QUALIFICATIONS 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. SALARY & BENEFITS 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. WORKING CONDITIONS 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.