Minimum required Education:
Bachelor's Degree/ Vocational Education in Information Management, Information Systems, Computer Science, Data Analytics or equivalent.
Minimum required Experience:
No prior experience required with Bachelor's Degree OR minimum 4 years of experience with Vocational Education in areas such as Data Analytics, Data Modeling or equivalent.
Job Responsibilities:
- Analyzes complex and multi-dimensional datasets across various business units to uncover deep insights that inform high-level strategic decisions and drive business performance.
- Creates sophisticated data models and predictive analytics using advanced statistical techniques and machine learning algorithms to forecast trends and optimize business outcomes, working under general supervision.
- Implements scalable ETL (Extract, Transform, Load) pipelines and robust data integration solutions, ensuring data consistency, accuracy, and reliability across the organization.
- Provides inputs on data architecture and infrastructure improvements, advising on best practices for data storage, retrieval, and management to enhance system performance and scalability.
- Ensures compliance with global data privacy regulations (such as GDPR and HIPAA) by designing and enforcing comprehensive data governance frameworks and security protocols.
- Conducts advanced statistical analyses, including hypothesis testing and multivariate analysis, to validate business strategies and provide evidence-based recommendations for process enhancements.
- Evaluates the effectiveness of implemented data solutions using performance metrics and feedback loops, continuously refining analytical approaches to improve outcomes.
- Benchmarks existing data analytics tools and technologies, leading the selection and integration of state-of-the-art solutions to maintain a competitive edge and drive innovation.
- Supports the execution of enterprise-wide data strategies, providing thought leadership and expert guidance in data analytics, business intelligence, and data science methodologies.
- Identifies opportunities for automation and process optimization, leveraging artificial intelligence, machine learning, and advanced analytics to enhance data processing efficiency and decision-making accuracy.
Minimum required Education:
Bachelor's Degree/ Vocational Education in Information Management, Information Systems, Computer Science, Data Analytics or equivalent.
Minimum required Experience:
Minimum 4 years of experience in areas such as Data Analytics, Data Modeling or equivalent.
Preferred Skills:
- Data Analysis & Interpretation
- Data Harmonization & Processing
- Statistical Methods
- Statistical Programming Software
- Business Intelligence Tools
- Data Mining
- Machine Learning Engineering Fundamentals
- Research & Analysis
- Structured Query Language (SQL)
- Regulatory Compliance
How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.
Onsite roles require full-time presence in the company’s facilities.
Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.
Indicate if this role is an office/field/onsite role.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
- Learn more about our business .
- Discover our rich and exciting history .
- Learn more about our purpose .
If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here .
