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Johnson & Johnson in the Philippines is seeking a Senior Data Analyst to join our data analytics and BI team. You will analyze customer purchasing data and perform in-depth case analyses, driving improvements based on data findings. You will collaborate with cross-functional teams to recommend impactful data-driven solutions.
The role emphasizes data accuracy, governance, and staying current with analytical best practices to deliver actionable insights.
Data Analytics & Computational Sciences
Business Intelligence
People Leader
Taguig, National Capital Region (Manila), Philippines
At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions 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.
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.
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.
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.
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