Operations Analyst

The Operations Analyst supports manufacturing performance by collecting, analyzing, and interpreting operational data to identify trends, inefficiencies, and opportunities for improvement. Partnering closely with Operations, Quality, and Continuous Improvement teams, this role transforms data into actionable insights that enhance productivity, reduce waste, and strengthen overall operational performance. The ideal candidate is highly analytical, detail‑oriented, and skilled at using data to drive informed decision‑making across all levels of the organization.

• Collect, organize, and analyze production, quality, and process data, using various tools including Excel, Qlik Sense, Power
  
  BI, etc., to monitor performance and identify areas for improvement.
• Develop and maintain key performance indicators (KPIs), dashboards, and reports that measure operational effectiveness and efficiency.
• Partner with Operations, Quality, and Continuous Improvement teams to evaluate workflows, identify bottlenecks, and recommend solutions to optimize processes.
• Conduct root‑cause analyses and use statistical and data‑driven methods to develop recommendations that improve output quality and reduce waste.
• Support Lean and Six Sigma initiatives by providing data analysis, process mapping, and performance tracking for improvement projects.
• Identify, analyze, and interpret patterns and trends in data sets to prepare and deliver clear and concise presentations and reports that communicate findings, insights, and recommendations to leadership.
• Ensure accuracy, completeness, and integrity of all operational data through regular audits and validation practices.
• Design and implement new systems, tools, or metrics that identify patterns and trends in data sets to enhance operational visibility and decision‑making.
• Collaborate across departments to ensure consistent data usage and alignment with business objectives.
• Perform other related duties as assigned to support business and operational goals.
• Strong analytical and problem‑solving skills with the ability to apply critical thinking, translating complex data into actionable insights.
• Proficiency with data analysis and visualization tools, such as Microsoft Excel (advanced functions), Power BI, or Tableau.
• Solid understanding of manufacturing operations, process workflows, and production metrics.
• Strong organizational and prioritization skills; ability to manage multiple projects simultaneously.
• Excellent verbal and written communication skills, including the ability to clearly present findings and recommendations.
• Detail‑oriented and committed to data accuracy and integrity.
• Proficiency with Microsoft Office Suite (Excel, Word, PowerPoint, Teams, Visio).
• Ability to work collaboratively across teams and adapt in a fast‑paced, evolving environment.

• Bachelor’s degree in Statistics, Data Science, Engineering, Data Analytics, Operations Management, Business, or a related field.
• 5+ years of experience in operations analysis, process improvement, or related analytical role within a manufacturing or production environment.
• Experience with ERP or manufacturing data systems preferred.
• Experience supporting or participating in continuous improvement or Lean Six Sigma initiatives strongly preferred.

• Ability to work 8 hours consecutively and maintain consistent focus throughout the workday.
• Regular presence on the manufacturing floor to collect data, observe processes, and collaborate with operations teams.
• Prolonged periods of sitting at a desk and working on a computer.
• Occasional travel may be required to support projects or cross‑site initiatives.

The starting salary range for this position is $80,000-$100,000.

At IWCO, base pay is determined by job‑related knowledge, skills, credentials, and experience, along with factors such as role scope and location. Candidates seeking compensation outside of the posted range are encouraged to apply and will be considered based on their individual qualifications and/or may be considered for other positions.

Pay is influenced by a variety of factors specific to the position, including…