You will manage data integrity and visualization within supply chain operations. You own the release pipeline for data insights, ensuring quality through cleansing, validation, and error handling across PLM and SAP systems. You optimize data infrastructure for efficient processing, storage, and retrieval. You perform exploratory data analysis, statistical modeling, and data modeling to support business decisions. You develop and maintain data documentation, including data dictionaries and lineage. You build and monitor interactive Power BI dashboards to communicate insights to stakeholders. You develop front-end applications with custom workflows and automations using PowerApps, SharePoint, and QuickBase. You integrate front-end applications with databases like SAP/SILK via custom APIs and webservices.
Responsibilities
- Mine data within PLM and SAP systems to ensure quality through cleansing, validation, and error handling.
- Optimize data infrastructure for efficient processing, storage, and retrieval.
- Perform exploratory data analysis, statistical modeling, and data modeling to support business decisions.
- Build and monitor interactive Power BI dashboards to communicate insights to stakeholders.
- Develop front-end applications with custom workflows and automations using PowerApps, SharePoint, and QuickBase.
Required Skills
- 5+ years of related experience in data engineering or analysis.
- Bachelor’s degree in Computer Science, Data Science, Statistics, Supply Chain Management, or Operations Research.
- Expertise with Power BI and SharePoint.
- Proficiency in SQL.
- Proven experience in data analysis, modeling, and statistical analysis.
- Experience managing IT programs.
- Ability to develop front-end applications with custom workflows and automation.
- Ability to integrate applications with databases using custom APIs and webservices.
Preferred Skills
- Experience with Enovia PLM and SAP.
- Experience with Databricks, Snowflake, AWS, or other cloud systems.
- Knowledge of supply chain processes and terminology.