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We are looking for a detail-oriented Business Operations Analyst to join our team in Scotts Valley, California. In this role, you will be responsible for analyzing operational data to uncover opportunities for improved efficiency and scalability. Collaborating closely with cross-functional teams, you will play a key role in driving continuous improvement initiatives and ensuring data accuracy across various systems.
Job Responsibility:
Develop, maintain, and refine dashboards and performance metrics to monitor key operational areas such as throughput, cycle time, yield, and inventory turns
Analyze complex datasets to provide actionable insights to both leadership and frontline teams
Identify inefficiencies in workflows and lead root cause analyses to support corrective actions
Collaborate with departments including Operations, Engineering, Supply Chain, Quality, and Finance to align on business goals
Utilize Lean, Six Sigma, or similar methodologies to drive continuous improvement projects
Provide analytical support for capacity planning, demand forecasting, and sales and operations planning (S&OP)
Design business cases, scenario models, and data-driven recommendations to assist leadership in decision-making
Contribute to defining standards for operational metrics and enhancing data governance practices
Improve analytics processes and promote data discipline within the organization
Lead or support initiatives aimed at enhancing processes, systems, and facilities
Requirements:
Bachelor’s degree in a relevant field such as Business Analytics, Data Science, Industrial Engineering, or Supply Chain
Proven ability to analyze large datasets and extract meaningful insights
Strong communication skills for effective collaboration across cross-functional teams
4+ years of experience in operations analysis, manufacturing analytics, or business analytics
Proficiency in Excel or Google Sheets and experience with BI tools like Power BI, Tableau, or Looker
Familiarity with manufacturing environments and enterprise resource planning (ERP) systems
Knowledge of SQL, Python, or advanced data modeling techniques
Nice to have:
Lean Six Sigma certification
Experience in high-mix/low-volume manufacturing environments
What we offer:
medical, vision, dental, and life and disability insurance