CDP2 Data Analytics Visualisation Support (Non-Thesis)
Job Description
In this role, you have the opportunity to
Build on the future of digital healthcare by executing the Philips IoT data strategies that drive the Philips health continuum vision. Deep user engagement with our digital solutions and channels and improve value proposition through intelligent and thoughtful data-driven recommendations.
You are responsible for:
- Rigorous big picture & conceptual view,
- excellent communication skills and
- a passion for using data to solve business problems
Responsible for growing “data” and business intelligence that adds tangible business value, enhances consumer experience. Must be able to speak data, business & technology
Able to communicate the value of data in a simple and clear manner by articulating both the high-level concept and detailed user stories for proposition improvements/evolution and convince teams to adopt data-driven improvements and close-the-loop; in other words, take action based on data and implement recommendations.
You are a part of Connected Digital Platforms and Propositions Team.
As CDP2 Analytics Data Visualisation Intern you are part of the Connected Digital Platforms and Propositions (CDP2) Analytics team - responsible for defining the IoT data strategy of the Philips health continuum.
You will report into the Head of Analytics. You are a proactive data analyst and report writer able to bring app usage insights to life through impactful and accurate recommendations. You will support our team of Data Product Managers, translating business goals to performance based data-driven recommendations.
Key Qualities:
- Expert on Excel and PPT: data manipulation, creating dashboards and multi-source databases
- Ability to create graphics in Adobe Creative Suite a bonus
- Query and analyse our proprietary datasets to identify patterns, trends and seasonal or geographical insights.
- Strong data normalisation and reporting capabilities
- Able to interpret data from multiple sources and provide powerful and measurable recommendations
- Evidence of producing interactive data reports
- Knowledge of tools such as R or Python
- Proven track record in data-driven analysis, e.g. website analytics
- Ability to make complicated data sets accessible and accurate
- Basic understanding of app development and/or lean principles (bonus)
- Strong verbal, written and visual communication skills
A chance to evolve and influence connected digital solutions (IoT) spanning personal health and healthcare across the health continuum at Philips.
Working at Philips is more than a job. It’s a calling to create a healthier society through meaningful work, focused on improving 3 billion lives a year by delivering innovative solutions across the health continuum. Our people experience a variety of unexpected moments when their lives and careers come together in meaningful ways. Learn more by watching this video.
To find out more about what it’s like working for Philips at a personal level, visit the Working at Philips page on our career website, where you can read stories from our employee blog. Once there, you can also learn about our recruitment process, or find answers to some of the frequently asked questions.
Required documents in order for us to continue with your application:
- Student registration form (Proof of enrollment at your current education)
- Resume
- Cover Letter outlining your motivation and informing your availability
Please note that in order to be considered for an internship, it should be compulsory (for students outside EU/EER) by your education and you need to be registered as a student during the entire internship period. Formal documentation of which may be requested at any time.
Please note that the contents of our regular internship assignments are not suitable for professionals (and/or MBA students) with professional work experience.