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BI Analyst


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

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Business Intelligence

Job Category:

Professional

All Job Posting Locations:

Beerse, Antwerp, Belgium

Job Description:

Contributes to the Business Intelligence team as a seasoned individual contributor, who works independently with minimal supervision. Helps establish and implement projects, programs, and processes in support of the organization's overall Data Analytics & Computational Sciences strategy. Applies advanced knowledge of the Business Intelligence field to establish best of class policies, procedures, and plans for the area.
Assists with developing plans to measure key performance indicators for the BI function.
Integrates methods based on analyses of trends and the competitive landscape to continually improve the organization's BIe strategy.
Helps establish and implement programs and innovative initiatives for the organization to advance Business Intelligence (BI) initiatives.
Contributes to projects, programs, or processes for the BI area.
Evaluates and recommends new vendors, tools, and systems for the BI function.
Coaches more junior colleagues in techniques, processes and responsibilities.​
Understands and applies Johnson & Johnson's Credo and Leadership Imperatives in day-to-day interactions with team

Required Skills:

Preferred Skills:

Accountability, Advanced Analytics, Analytical Reasoning, Business Intelligence (BI), Business Requirements Analysis, Communication, Data Analysis, Data Governance, Data Modeling, Data Privacy Standards, Organizing, Problem Solving, Statistical Analysis Systems (SAS) Programming, Systems Development, Technical Credibility, Technical Writing, Workflow Analysis

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