Sr. Data Analyst, Customer Insights & Analytics

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.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

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:

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.

The GS Customer Insights & Analytics Team is dedicated to enhancing the MedTech industry's ability to leverage data for strategic decision-making. Through the SOURCEVIEW analytical tool, the team empowers organizations with actionable sales insights derived from actual purchase data from customers.

Job Summary: 

We are looking for an experienced Senior Data Analyst to join our dynamic team. This role involves analyzing customer purchasing data while conducting in-depth analysis of cases and implementing improvement initiatives based on data findings. You will collaborate with cross-functional teams to recommend impactful solutions for data-related challenges.

Key Responsibilities:

•     Execute customer case operations with a strong focus on data accuracy.

•     Conduct in-depth data analyses to identify trends and insights that drive business decisions.

•     Implement improvement initiatives for data management and processing.

•     Collaborate with various functional teams to address business intelligence needs.

•     Recommend actionable solutions for identified data issues.

•     Develop documentation to enhance data governance and quality protocols.

•     Stay current with industry trends and analytical practices to propose innovative ideas.

•     Perform other work-related duties as assigned.

Qualifications:

• Bachelor’s degree in Business Management, Mathematics, Statistics, or a related field.
• 3-5 years of experience in data operations, master data management, or a similar role.
• Proficiency in data analytics tools and big data management.
• SQL is a plus.

Required Skills:

• Advanced analytical and statistical skills with attention to detail.
• Strong understanding of data management practices.
• Excellent communication skills with the ability to convey complex data insights clearly.
• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Ability to work collaboratively in a dynamic, fast-paced environment.

 

 

Required Skills:

 

 

Preferred Skills:

Advanced Analytics, Analytical Reasoning, Business Intelligence (BI), Business Savvy, Collaboration, Data Analysis, Data Modeling, Data Privacy Standards, Data Reporting, Detail-Oriented, Developing Others, Inclusive Leadership, Leadership, Process Oriented, Quality Auditing, Statistical Analysis Systems (SAS) Programming, Technical Writing, Workflow Analysis