FAQs
What is the role of an Associate Lead - Data & Analytics at Johnson & Johnson MedTech?
The Associate Lead - Data & Analytics will lead sales consolidation for MedTech franchises, manage sales analytics deployment, oversee data governance and security, create custom databases, automate processes for efficiency, and ensure data accuracy and reliability.
What qualifications are required for the Associate Lead position?
A bachelor’s degree in computer science or a related STEM discipline is required, along with 4-6 years of experience in data analysis, expertise in ETL using Alteryx Designer and/or SQL, and proficiency in data visualization tools like Tableau and Power BI.
Is experience with cloud platforms necessary for this job?
While experience with cloud platforms such as Azure is a plus, it is not strictly required.
What tools should I be proficient in to apply for this role?
Applicants should have demonstrated expertise in ETL using Alteryx Designer and/or SQL, proficiency in data visualization tools like Tableau and Power BI, and outstanding proficiency in Microsoft Excel.
Are Python skills necessary for this position?
Python skills are considered a plus but are not mandatory for the role.
What kind of communication skills are expected from the candidate?
Candidates should possess effective communication skills, as the role requires collaboration with colleagues across functions to deliver results.
How important is data reliability and quality for this role?
Data reliability, efficiency, and quality are crucial as the Associate Lead will be responsible for recommending improvements and ensuring accurate and up-to-date information is available.
What are the focus areas for Johnson & Johnson MedTech?
The focus areas include Interventional Solutions, Orthopaedics, Surgery, and Vision.
Will the role involve automating processes?
Yes, the Associate Lead will be tasked with automating processes and tasks to enhance workflow efficiencies.
How will this position contribute to the overall goals of Johnson & Johnson MedTech?
This position will contribute by leading critical analytics efforts, improving data processes, supporting informed decision-making, and ultimately enhancing patient outcomes through data-driven insights.