Operations Optimization Analyst

Orenco Systems•Sutherlin, OR

About The Position

The Operations Optimization Analyst supports optimization across manufacturing and supply chain by combining operational knowledge with data analysis. The role extracts, validates, transforms, visualizes, and analyzes data; develops KPIs, dashboards, analytical models, and process insights; and recommends improvements to service, inventory performance, ERP data integrity, capacity planning, and cost efficiency. The analyst partners with Operations leadership and cross-functional teams to identify constraints, evaluate trends, maintain planning parameters, and improve end-to-end operational performance. The position promotes the company’s safety, cultural, and professional standards and supports a positive safety culture. It investigates operational data issues, supports S&OP and operational reviews, prepares recurring and ad hoc analyses, and tracks improvement actions. Work is primarily in an office, with regular time in manufacturing, warehouse, and supply chain areas to observe processes, validate data, and support improvement activities. Regular, consistent, and predictable attendance is required; other duties may be assigned.

Requirements

  • Three years of experience in operations analysis, manufacturing, supply chain, inventory planning, ERP systems, business analytics, data analytics, business intelligence, or a related role is preferred.
  • Practical knowledge of ERP systems, data analysis, dashboard development, data visualization, database concepts, reporting tools, inventory planning, capacity planning, KPI development, and continuous improvement methods.
  • Experience using spreadsheet, database, query, visualization, or business intelligence tools to create reports, analyze trends, automate recurring analysis, and communicate actionable insights.
  • Ability to interpret and validate operational data, identify root causes, explain trends and variances, and turn analysis into clear recommendations and measurable action plans.
  • Ability to adapt to priority changes with little notice and remain calm during confrontational or high-pressure situations.
  • Ability to use sound judgment and follow through in problem-solving and decision-making.
  • Satisfactory driving record, valid driver’s license, and current insurance on a personal vehicle if used for business; must meet company insurability requirements.
  • Regular, consistent, and predictable attendance is required.
  • Physical ability to perform regular duties involving seeing, speaking, hearing, reading, writing, keyboarding, and viewing a computer screen.
  • Physical ability to periodically stand and walk on concrete floors and uneven ground; climb stairs and ladders; reach, push, pull, grasp, twist, squat, kneel, bend, and stoop.
  • Ability to occasionally lift under 20 lbs.; unassisted lifting may be required up to 50 lbs. and occasionally up to 70 lbs. Lifting over 70 lbs. must be assisted.

Nice To Haves

  • A bachelor's degree in Business Analytics, Data Analytics, Data Science, Information Technology, Computer Science, Programming, Industrial Engineering, Manufacturing Engineering, Supply Chain Management, Operations Management, Business, or a related field is preferred; equivalent education and relevant experience may be considered.
  • Three years of experience in a related operations, manufacturing, supply chain, ERP, or analytics role is preferred.

Responsibilities

  • Analyze manufacturing, supply chain, ERP, inventory, purchasing, order fulfillment, and capacity data to identify trends, constraints, root causes, risks, and improvement opportunities.
  • Develop and maintain KPIs, dashboards, scorecards, datasets, and reporting tools covering operational performance.
  • Collect, cleanse, validate, integrate, and analyze data from ERP systems, spreadsheets, databases, and other business systems.
  • Use data visualization, statistical and trend analysis, and exception reporting to identify performance gaps, forecast risks, and support decision-making.
  • Evaluate demand, usage, lead times, capacity, and variability and recommend inventory levels, stocking targets, reorder points, safety stock, and other planning parameters.
  • Maintain, audit, and improve ERP planning data, including order points, lead times, item settings, capacity assumptions, and routing standards.
  • Develop capacity models and recommend capacity limits, labor assumptions, production constraints, and scenario plans for S&OP, production scheduling, and supply chain execution.
  • Identify and prioritize opportunities to improve service, throughput, material flow, labor and asset utilization, and cost efficiency.
  • Partner with Manufacturing, Supply Chain, Engineering, Finance, and Operations leaders to develop practical recommendations, implementation plans, and performance follow-up.
  • Study reporting, analytics, ERP, business intelligence, database, and planning tools to improve visibility, decision-making, and operational effectiveness.
  • Build analytical models, queries, and datasets to evaluate staffing, production output, inventory positioning, supplier constraints, capacity limits, and operational cost tradeoffs.
  • Communicate findings through dashboards, visualizations, written summaries, presentations, and working sessions with employees, managers, and senior leaders.
  • Investigate inaccurate, incomplete, or inconsistent operational data, coordinate corrective actions, and validate the reliability of ERP, dashboard, and reporting outputs.
  • Support S&OP and operational reviews by preparing analysis, validating assumptions, modeling scenarios, and tracking improvement actions.
  • Create recurring and ad hoc reports, data extracts, variance analyses, and visual summaries.
  • Maintain current knowledge of manufacturing processes, supply chain workflows, ERP master data, planning logic, reporting structures, and business objectives.
  • Apply structured problem-solving, data validation, and continuous improvement methods to support timely and sustainable improvements.
  • Promote safe practices and a positive safety culture.
  • Maintain regular, consistent, and predictable attendance; perform other duties as assigned.
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