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Philips DfX Analyst 
China, Shanghai 
229071225

20.04.2025
DfX Analyst
Job Description

You are responsible for

  • Perform advanced analytics, data mapping, and reporting for DfX initiatives and projects.
  • Ensure timely delivery and high-quality analysis and reports.Support system and process improvements including new development needs.
  • Deploy standards and guidelines to ensure process and system alignment across team members of DfX Consultants and Cost Masters.
  • Work with experts to gain a full end-to-end view of data processes, ensuring alignment with relevant systems including I2M Planner, SMRS, Qliksense, Peculium, etc.
  • Engage with stakeholders to understand requirements and translate/implement them into analytics solutions. Enable the digital transformation within Integrated Supply Chain Engineering and the DfX team
  • Support DfX Consultants to co-lead DfX activities including Prepare and Facilitate workshops, Generate project documentations, Alignment with cross functional team members, etc.
  • Assist DfX Leader on team management related activities.

To succeed in this role, you should have the following skills and experience

  • You have bachelor’s or master’s degree in data analytical, information management, computer/data science, or related field.
  • Creative and innovative thinker, with strong engineering foundation in data analysis.
  • Excellent analytical skills, with the ability to analyze complex processes, data sets and financial scenarios.
  • Good communication and articulation skills to bridge technical and business perspectives.
  • Independent, structured, and well-planned work approach with strong documentation and guiding capabilities.
  • Problem-solving mindset with experience in root cause analysis and lean principles.
  • Curious, resilient, and collaborative, able to work across global teams and time zones.
  • Ability to work with global, multidisciplinary, and virtual teams.

PreferredQualifications/Skills

  • Proficient with data analysis and visualization tools (e.g. Qliksense, PowerBI, SQL, Python, etc.).
  • Familiarity with health systems and personal health products.
  • PMP certification a plus.