Job Description

The Senior Operations Analyst plays a critical role in transforming operations data into actionable insights that drive performance, traceability, quality, and continuous improvement across global operations, combining expertise in data analytics, manufacturing systems, and process engineering.

Requirements

Bachelor’s degree in Engineering, Data Science, or related field required.
Strong proficiency in SQL, with working knowledge of Python, Power BI, and modern data platforms (e.g., Spark, Databricks) preferred.
Demonstrated ability to analyze large, complex datasets and develop actionable insights.
Knowledge of statistical analysis, process control, and manufacturing metrics.
Understanding of manufacturing process data, automation systems, and traceability architectures (e.g., MES, SCADA, PLC data capture).

Responsibilities

Lead analytical efforts to uncover process trends, detect anomalies, and enable data-driven decision making across production lines.
Design and implement dashboards and reporting tools to monitor key manufacturing KPIs such as yield, throughput, cycle time, and error frequency.
Apply statistical methods, SQL, and Python-based analytics to quantify process capability, variation, and equipment performance.
Support NPD launch readiness by building analytical baselines and monitoring process stability during ramp-up.
Translate complex datasets into clear visualizations and insights to guide improvement activities.
Support end-to-end traceability solutions across new and existing production lines—linking component, process, and test data.
Ensure robust data governance practices are followed for all operational systems.
Support rollout of data acquisition and visualization tools in collaboration with global quality and manufacturing sites.
Develop predictive models for defects, warranty claims, and service trends to drive proactive improvements.
Collaborate with quality and service teams to analyze feedback loops and enhance product reliability.
Monitor compliance with quality standards and provide insights to reduce rework, scrap, and service costs.