Supply Chain Data Engineer/Analyst

Job Description:
Responsibilities:
Data mining in PLM/SAP
Ensure data quality and integrity by performing data cleansing, validation, and error handling.
Optimize data infrastructure to support data processing, storage, and retrieval efficiently.
Perform exploratory data analysis to uncover trends, patterns, and insights from the data.
Conduct statistical analysis and data modelling to support business decision-making.
Develop and maintain data documentation, including data dictionaries and data lineage.
Create visually appealing and interactive dashboards that effectively communicate complex data insights to stakeholders.
Leverage best practices to present data in a clear, concise, and compelling manner.
Collaborate with business users & cross functional teams to understand their data requirements, analytical needs and translate them into actionable visualizations.
Monitor and maintain existing dashboards, making improvements and updates as needed

Minimum Qualifications:
5+ years of related experience with a bachelor’s degree in Computer Science, Data Science, Statistics, Supply Chain Management, Operations Research, or a related field.
Expertise with SharePoint, Power BI
Prefer experience in ENOVIA PLM and SAP
Proven experience in data analysis, data modelling, and statistical analysis.
Proficient in data visualization tools such as Power BI
Experience managing IT programs
Strong analytical and problem-solving skills
Ability to develop front end applications with custom workflows and automations. (PowerApps, SharePoint Classic and Online, QuickBase Applications)
Ability to integrate front end applications with databases (SAP/SILK) to show real time data (Custom APIs, Webservices)

Additional Qualifications:
Experience with programming languages such as SQL.
Positive attitude in a rapidly changing environment with ambiguous information.
Concise communication skills.
Intellectual curiosity with an ability to learn quickly.
Passion for technology and operations.
Experience with Databricks, Snowflake, AWS, and other cloud systems
Experience with Excel and Gsheets
Strong understanding of supply chain processes and terminology.
Strong analytical and problem-solving skills.
Excellent communication and presentation skills.
Ability to work independently and as part of a team.