This role requires a strong foundation in planning concepts with the ability to apply them in a business setting, along with the technical aptitude to step into an analyst-level function. Candidates must demonstrate critical thinking, advanced Excel skills (as a super user), ERP system knowledge, and effective communication, even without formal leadership authority. The position also demands a strong work ethic, excellent time management, and the ability to multitask in a fast-paced, onsite environment in Selah, working approximately 50 hours per week (including 10 hours of overtime).
Key takeaways:
- Blend of business acumen and technical/analytical capability is essential (Excel + ERP + critical thinking).
- High-performance expectations with significant workload, onsite presence, and extended hours.
- Strong soft skills (communication, time management, work ethic) are critical to success.
QUALIFICATIONS
KNOWLEDGE OF:
· Material Requirements Planning (MRP) and supply chain planning principles
· Production planning, inventory management, and demand forecasting methodologies
· Data analysis, statistical modeling, and optimization techniques
· Ability to interpret and validate data using standard query and reporting tools. Advanced SQL is a plus.
· Proficiency with advanced Excel and reporting and analytics tools such as Power BI, Tableau, or similar preferred.
· Working knowledge of enterprise data concepts, including data definitions, data quality, and how to partner with Information Services on data and reporting requests.
· Data architecture fundamentals
· Business process analysis and requirements definition
· Financial and operational performance metrics
· Good Manufacturing Practices and relevant regulatory requirements
ABILITY TO:
· Apply advanced analytical and problem-solving skills to optimize supply chain decisions
· Translate complex data into clear, actionable business insights
· Build scalable analytical tools, models, and reporting solutions
· Manage and prioritize multiple projects in a fast-paced environment
· Collaborate effectively across technical and business teams
· Communicate complex concepts to diverse audiences
· Identify root causes and implement sustainable solutions
· Exercise independent judgment in planning and decision-making
· Leverages enterprise technology tools—including AI, word processing, spreadsheets, databases, and collaboration platforms—to analyze information, support decision‑making, and communicate effectively.
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EXPERIENCE, CERTIFICATION/LICENSES, AND TRAINING:
· A bachelor’s degree in Supply Chain, Industrial Engineering, Business Analytics, Operations, Data Science, or equivalent experience in lieu of a degree.
· Two plus years of experience in data analytics, supply chain analytics, or related field.
· Strong experience with SQL and data extraction required.
· Experience building business reporting, forecasting, and scenario analysis using enterprise analytics tools preferred Experience with forecasting, optimization, or statistical modeling preferred.
· Experience in supply chain, production planning, or inventory management preferred.
Pay: $85,000.00 - $90,000.00 per year
Work Location: In person
