Project Data Analyst @ Philips
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Job Details
About the Role
The Project Data Analyst at Philips analyzes complex and multi-dimensional datasets across various business units to uncover insights that drive strategic decisions and business performance.
Main Responsibilities
This role involves creating sophisticated data models, predictive analytics, and implementing scalable ETL pipelines. You will provide input on data architecture improvements and ensure compliance with global data privacy regulations such as GDPR and HIPAA. Additionally, you will conduct advanced statistical analyses and benchmark data analytics tools to drive innovation.
Key Functions
- Analyze multi-dimensional datasets to inform strategic decisions.
- Create predictive models using machine learning algorithms.
- Implement scalable ETL pipelines for data integration.
- Advise on data architecture and infrastructure improvements.
- Ensure compliance with global data privacy regulations.
- Conduct statistical analyses and validate business strategies.
- Benchmark analytics tools and drive solution integration.
- Support enterprise-wide data strategy and automation efforts.
You Should Bring
A Bachelor's Degree or equivalent in Information Management, Information Systems, Computer Science, Data Analytics or related fields, with several years of experience. Proficiency in QlikSense, expertise in data analysis, data harmonization, statistical methods, SQL, and fluency in German and English are essential.
Philips Benefits
Enjoy 30 days annual leave, subsidized Germany ticket, leasing opportunities for private devices, professional training at Philips University, an employer-funded pension plan, discounts on Philips products, free meals and drinks in the canteen, and a rich cultural experience with team activities.
How We Work Together
This role requires you to be on-site at least 3 days a week, fostering teamwork and collaboration.
Key skills/competency
- Data Analysis
- Predictive Modeling
- ETL Pipelines
- Data Governance
- Statistical Analysis
- Machine Learning
- SQL
- QlikSense
- Data Compliance
- Business Intelligence
How to Get Hired at Philips
🎯 Tips for Getting Hired
- Customize your resume: Tailor it with relevant data analytics skills.
- Highlight QlikSense experience: Emphasize practical project examples.
- Research Philips culture: Study their mission and values.
- Prepare for technical questions: Review ETL and statistical methods.