Analyst Data Integration
- Design and implement automation solutions to enhance supply chain performance.
- Collaborate with IT teams to develop AI/ML use cases.
- Support the automation of audit checks and month-end cycles, triggering alerts for discrepancies.
- Conduct root-cause analysis for PLAN Comind tickets related to IT BI, Data Lake, Interfaces, and Master Data Management (MDM).
- Work with Data Lake, Interface, IT BI, and MDM teams to track progress and ensure timely resolution of tickets.
- Prioritize Comind tickets based on business impact, urgency, and operational dependencies.
Job Requirements
- Masters degree in Data Science, Computer Science, Engineering, Supply Chain, or a related technical field.
- Minimum 2 years of hands-on experience in data engineering, automation, and machine learning solutions.
- Strong analytical and problem-solving abilities, with the ability to work across technical and non-technical teams.
- Proactive, structured, and detail-oriented working style, along with strong communication and collaboration skills.
- Proficiency in programming languages such as SQL, DAX, Python, and PySpark.
- Experience with platforms and tools like Azure Databricks, PBI, and Microsoft Fabric.
- Knowledge of data lake architectures, ETL pipelines, and BI system integration.
- Travel 15% of the time.
