Operations Business Analyst II

Digital Dynamics•Scotts Valley, CA

5d•$115,000 - $130,000•Onsite

About The Position

The Operations Business Analyst II is a mid-level, on-site role responsible for transforming operational data into actionable insights that improve efficiency, execution, and scalability. This position partners closely with Operations, Engineering, Supply Chain, Quality, and Finance to support continuous improvement and operational excellence initiatives, and reports into the demand planning manager of DDI. This role is ideal for an experienced analyst who thrives in a fast-paced manufacturing environment and enjoys solving complex business problems through data and collaboration.

Requirements

Bachelor’s degree in Business Analytics, Statistics, Applied Mathematics, Data Science, Operations, Computer Science, Industrial Engineering, Supply Chain, or related field
Ability to analyze large data sets, and generate crisp insights in terms of historical material spend and/or customer historical demand
Outstanding cross functional communication is mandatory for success
4–7 years of experience in operations analysis, manufacturing analytics, or business analytics
Experience working in manufacturing, EMS, or industrial environments
Strong proficiency in Excel and/or Google Sheets
Experience with BI tools such as Power BI, Tableau, Looker, or similar
Working knowledge of ERP systems (SYSPRO preferred)
SQL, Python, or advanced data modeling experience

Nice To Haves

Experience in semiconductor, electronics manufacturing, or high-mix/low-volume environments
Curious in understanding status quo with an unrelenting desire to improve efficiency
Lean Six Sigma certification or formal continuous improvement training
Experience supporting S&OP or production planning functions

Responsibilities

Build, maintain, and enhance dashboards and KPIs for Operations, including throughput, cycle time, yield, on-time delivery, capacity, inventory turns, and cost drivers
Translate complex data into clear, actionable insights for leadership and frontline teams
Ensure data accuracy and alignment across ERP, MES, and reporting systems
Identify bottlenecks, inefficiencies, and variability across operational workflows
Lead root cause analyses and support corrective and preventive actions (CAPA)
Drive continuous improvement initiatives using Lean, Six Sigma, or similar methodologies
Collaborate with Operations, Engineering, Supply Chain, Quality, and Finance
Support S&OP, capacity planning, and demand forecasting through analytics
Convert business needs into analytical models and reporting solutions
Support or lead projects such as ERP enhancements, NPI programs, and facility/process improvements
Develop business cases, ROI analyses, and scenario models for leadership decisions
Help define standards for operational metrics and reporting cadence
Improve analytics discipline and data maturity across the Operations organization