onsite
Manufacturing Data Analytics Engineer
Data Engineer
Engineer responsible for extracting, transforming, and modeling manufacturing data from ERP and MES systems, building analytical dashboards in Excel, and applying machine‑learning techniques to drive process improvements.
About the role
Key Responsibilities
- Collect, clean, and integrate production data from ERP and MES platforms for analytical use.
- Develop and maintain Excel‑based dashboards and reports that visualize key manufacturing metrics.
- Apply machine‑learning models to identify patterns, predict equipment failures, and optimize production schedules.
- Collaborate with process engineers and IT teams to define data requirements and ensure data quality.
- Automate data pipelines and reporting workflows to support real‑time decision making.
Requirements
- Strong experience in data analysis and manipulation, preferably with large manufacturing datasets.
- Proficiency in Excel for advanced analytics, including Power Query, Power Pivot, and VBA/macros.
- Hands‑on knowledge of ERP and MES systems and ability to extract data via APIs or database queries.
- Experience building and deploying machine‑learning models for predictive maintenance or process optimization.
- Excellent problem‑solving skills and ability to communicate technical insights to non‑technical stakeholders.
Skills
data analysisexcelmachine learning