Business Analyst- ML/AI

Description:

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com

Job Function

Data Analytics & Computational Sciences

Job Sub Function

Business Intelligence

Job Category

Professional

All Job Posting Locations:

Beijing, China, Mechelen, Antwerp, Belgium, North Ryde, New South Wales, Australia

Job Description

The Global IM Deliver team is seeking a seasoned Senior Analyst in Machine Learning / Artificial Intelligence to support our mission of enhancing distribution, transportation, and customer services through data-driven insights. This role requires a technical professional with a strong understanding of business product ownership and a passion for analytics, ideally in the area of Customer Analytics.

Key Responsibilities

• Develop and implement ML / AI solutions for logistics, specifically for the Customer Services function.
• Implement ways to optimize order processing (OCR / EDI / Portal)
• Gain insights from order patterns and call center interactions
• Drive personalization of communication to Customers.
• Uphold Johnson & Johnson’s Credo and Leadership Imperatives in all interactions, ensuring a collaborative and values-driven working environment.
  
  

Qualifications

• Bachelor’s degree in Business Analytics, Data Science, Statistics, or a related field; Master's degree is a plus.
• Proven experience in a Business Intelligence role, preferably within a distribution or customer context.
• Strong technical skills with a deep understanding of data analytics tools and methods, ideally in Customer Analytics.
• Familiar with techniques to analyze highly unstructured data (speech, text, e-mail).
• Excellent problem-solving skills and the ability to communicate complex analyses in a clear and effective manner to various stakeholders.
• Proven ability to work independently with minimal supervision while also being a team player.