Operations Analytics Lead II — ESOP, On-Site

Digital Dynamics; Scotts Valley (CA); On-site; USD 95,000 - 115,000; Full time

Benefits offered by this job

100% ESOP

Career advancement opportunities

Cross-functional collaboration

Job summary

Digital Dynamics Inc. seeks an Operations Business Analyst II to transform operational data into actionable insights. You’ll partner with Operations, Engineering, Supply Chain, Quality, and Finance to support continuous improvement and scalable manufacturing processes.

This on-site role requires strong Excel/BI skills, SQL, Python, and ERP familiarity to drive data-informed decisions in a fast-paced environment.

Qualifications

• Bachelor’s degree in a quantitative field.
• Proven ability to analyze large data sets and extract insights.
• Strong cross-functional communication is mandatory.
• 4–7 years of experience in operations or manufacturing analytics.
• Experience in manufacturing, EMS, or industrial environments.
• Proficiency with Excel or Google Sheets.
• Experience with BI tools (Power BI, Tableau, Looker).
• Knowledge of ERP systems (SYSPRO preferred).
• SQL, Python, or advanced data modeling experience.

Responsibilities

• Build, maintain, and enhance dashboards and KPIs for Operations.
• Translate data into clear insights for leadership and frontline teams.
• Ensure data accuracy across ERP/MES and reporting systems.
• Lead root-cause analyses and CAPA activities.
• Support S&OP, capacity planning, and demand forecasting via analytics.
• Develop analytical models and reporting solutions from business needs.

Skills

Excel/Sheets

BI Tools

SQL

Python

Data Visualization

ERP Systems

Education

Bachelor’s degree in Business Analytics, Statistics, Applied Mathematics, Data Science, Operations, CS, or related field

Tools

Power BI

Tableau

Looker

SYSPRO ERP

Job description

Digital Dynamics Inc. seeks an Operations Business Analyst II to transform operational data into actionable insights. You’ll partner with Operations, Engineering, Supply Chain, Quality, and Finance to support continuous improvement and scalable manufacturing processes.

This on-site role requires strong Excel/BI skills, SQL, Python, and ERP familiarity to drive data-informed decisions in a fast-paced environment.