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 jnj.com.

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Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Business Intelligence

Job Category:

People Leader

All Job Posting Locations:

Taguig, National Capital Region (Manila), Philippines

Job Description:

Organization: GS, Strategy and Business Service

Title: Senior Analyst, Data Intelligence

Job Description:

At Johnson & Johnson (J&J), we are passionate about our mission to care for the world, one person at a time. We adopt research and innovation, providing groundbreaking ideas, products, and services that advance the health and well-being of people globally. As part of our Employee Family, you’ll join over 128,700 teammates across more than 275 operating companies in 60 countries, united in a dedication to improving lives daily.

Johnson & Johnson Global Services (GS) operates as the shared services organization that supports the businesses of Johnson & Johnson. We strive to streamline functional work across regions and sectors by applying standardized processes and innovative technology. The vision of GS is to further trusted relationships and deliver significant value by providing extraordinary services that empower our teams.

Job Summary: 

We are seeking a highly skilled Senior Analyst, Data Intelligence to join our dynamic team. This role will focus on leading data analysis efforts to generate insights that drive data transformation initiatives and enhance business intelligence across the organization. The ideal candidate will have experience in advanced analytics, a deep understanding of business intelligence tools, and a proven ability to derive actionable insights from complex datasets.

Key Responsibilities:

• Lead the analysis of complex datasets, using statistical methods and advanced analytics to identify trends, patterns, and insights that influence strategic business decisions.
• Collaborate with multi-functional teams to define requirements and understand data needs, ensuring alignment with business objectives and driving impactful data initiatives.
• Design, develop, and optimize business intelligence dashboards and reporting tools that deliver clear and actionable insights to customers.
• Help and support data pipelines activities to ensure data integrity, availability, and usability across the organization.
• Monitor and report key indicators to ensure data reliability, integrity.  
• Apply data science techniques, such as predictive modeling and machine learning, to advance analytical capabilities and provide innovative solutions to business challenges on different projects.
• Develop visualizations to customers effectively, simplifying complex information for diverse audiences.
• Stay abreast of industry trends and emerging technologies related to data analytics, data science, and business intelligence, assessing their applicability to enhance data intelligence capabilities.
• Collaborate with the Data and AI team on critical initiatives that enhance organizational data intelligence and analytics capabilities.

Qualifications and Required Skills:

• Bachelor’s degree or equivalent experience in Data Science, Computer Science, Engineering, Statistics, or a related field;
• Demonstrable experience (typically 5+ years) in data analysis, data science, advanced analytics, or a closely related field.
• Expertise in business intelligence tools (e.g., Tableau, Power BI) and advanced data visualization techniques.
• Proficient in SQL and other data manipulation tools, with strong analytical skills and experience in statistical analysis.
• Solid background in advance analysis, including experience with predictive modeling, machine learning frameworks (e.g., TensorFlow, Scikit-learn), and advanced analytical methodologies.
• Solid understanding of data engineering practices, ETL processes, and data warehousing concepts.
• Strong problem-solving skills with a focus on deriving actionable insights from complex datasets.
• Excellent communication and presentation skills, capable of conveying technical information effectively to both technical and non-technical audiences.
• Demonstrable ability to work collaboratively within a team, manage multiple projects, and thrive in a fast-paced environment.
• Project management and agile methodologies are a must.

 

 

Required Skills:

 

 

Preferred Skills: