Kenvue is looking to solve the business and technical problem of driving complex analytics initiatives and developing scalable solutions for global business partners within the Global Complaint Vigilance (GCV) team, focusing on data governance, database infrastructure, and advanced data analytics for the Global Complaint platform.
Requirements
- SQL for querying and managing relational databases.
- ETL (Extract, Transform, Load) processes for data integration and pipeline development.
- Data Lake Architecture and Data Governance principles.
- Python or R for statistical analysis and predictive modeling (as applicable).
- Familiarity with Azure Data Services or other cloud-based data platforms.
- Strong understanding of data lake architecture and data governance principles.
- Proficiency in data querying, visualization, and statistical analysis tools.
Responsibilities
- Support data analytics efforts by discovering relevant data within the Complaint Data Lake (CDL) and facilitating ingestion from source systems.
- Lead initiatives to establish and maintain a robust data foundation in CDL, ensuring availability and curation of key quality data to support analytics and reporting needs.
- Design and implement innovative data science methodologies to support global metrics, trend analysis, and risk management planning.
- Perform periodic analysis of complaint data to identify trends, risks, and opportunities for process improvement.
- Assist in developing training materials and updating controlled documents related to complaint vigilance systems and processes.
- Power BI Development – dashboard creation, data visualization, and report automation.
- DAX (Data Analysis Expressions) and Power Query for advanced data modeling and transformation.
Other
- A minimum of a bachelor’s degree is required.
- Proven experience in data analytics, preferably within a regulated or quality-focused environment.
- Proficiency in Microsoft Power BI or equivalent data visualization tools
- Excellent communication skills and ability to work across global teams and functions.
- Experience supporting aspects of the complaint vigilance life cycle for pharmaceutical, device, and /or cosmetic products is preferred.
