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Taguig, National Capital Region (Manila), Philippines, Philippines
Hybrid
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Job Function:
Data Analytics & Computational SciencesJob Sub Function:
Clinical Data ManagementJob Category:
ProfessionalAll Job Posting Locations:
Taguig, National Capital Region (Manila), PhilippinesJob Description:
DePuy Synthes is recruiting for an Analytics and Automation Specialist, located in Manila, Philippines.
The Analytics and Automation Specialist plays a key role in enabling data-driven decision-making and improving operational efficiency across Global Services. This role combines advanced analytics with process automation to transform complex datasets into actionable insights and scalable solutions. You will contribute directly to improving visibility, accuracy, and performance by building dashboards, streamlining workflows, and delivering high-quality insights that support business priorities in a global, fast-paced environment.
The specialist will build dashboards, reports, automations, and integrations that improve visibility, accuracy, and efficiency—empowering stakeholders with high‑quality insights and optimized data workflows.
Key Responsibilities
Analyze complex Commercial Sourceview datasets to uncover trends, insights, and opportunities that inform business decisions
Design, develop, and maintain dashboards and reports that provide clear and timely visibility to stakeholders
Apply data visualization techniques using tools such as Power BI or Tableau to simplify complex information
Evaluate performance metrics to monitor operational efficiency and recommend improvements
Design, build, and maintain automation workflows to streamline data processing and reporting activities
Identify automation opportunities by analyzing business requirements and current processes
Design, build, and maintain SOURCEVIEW automation workflows to improve data processing and reporting efficiency.
Test, validate, and monitor automated solutions to ensure accuracy, reliability, and continuous improvement
Monitor and troubleshoot automation processes, implementing improvements as needed.
Document automation and BI processes, including standards, best practices, and technical specifications.
Collaborate with cross-functional teams (e.g., IT, analytics, and business stakeholders) to deliver integrated solutions.
Support data governance and data quality initiatives to ensure consistency and reliability of data
Provide training and enablement to help teams effectively use analytics and automation tools
Qualifications
Education:
Bachelor’s degree in Computer Science, Data Analytics, Business Administration, Engineering, or a related field required
Advanced degree (e.g., Master’s) preferred
Experience and Skills:
Required:
Proven experience in business intelligence, data analytics, automation, or a related role
Strong proficiency in data visualization tools such as Power BI or Tableau
Experience with SQL and data querying, along with understanding of data pipelines
Ability to analyze complex datasets and translate findings into actionable recommendations
Experience designing or supporting automation workflows or tools
Strong problem-solving skills with attention to detail
Ability to manage multiple priorities and collaborate effectively in a global team environment
Preferred:
Experience with robotic process automation (RPA) tools such as UiPath or Blue Prism
Familiarity with data engineering concepts including ETL processes and data warehousing platforms (e.g., Azure, AWS, Databricks)
Programming experience in Python or R
Knowledge of data governance, data modeling, and data quality practices
Exposure to statistical analysis or machine learning concepts
Experience working within a global or matrixed organization
Strong communication and stakeholder management skills
Other
Language: Fluent in English (written and verbal)
Travel: Minimal (≤10%, primarily for internal collaboration)
Certifications: Certifications in data analytics, BI tools, or RPA are preferred
For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit www.careers.jnj.com.
Johnson & Johnson announced plans to separate our Orthopaedics business to establish a standalone orthopaedics company, operating as DePuy Synthes. The process of the planned separation is anticipated to be completed within 18 to 24 months, subject to legal requirements, including consultation with works councils and other employee representative bodies, as may be required, regulatory approvals and other customary conditions and approvals. Should you accept this position, it is anticipated that, following conclusion of the transaction, you would be an employee of DePuy Synthes and your employment would be governed by DePuy Synthes employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by DePuy Synthes at an appropriate time and subject to any necessary consultation processes.
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource.
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Required Skills:
Preferred Skills:
Advanced Analytics, Clinical Data Management, Clinical Operations, Collaboration, Communication, Database Management, Data Privacy Standards, Data Quality, Data Savvy, Good Clinical Practice (GCP), Innovation, Interdisciplinary Work, Problem Solving, Process Improvements, Research Ethics, Resource Allocation, Training People