西门子数字化工业 Data Analyst Beijing

Job Description

Job Title: Data Analyst

What are my responsibilities?


  • Drive the implementation of DI PA internal digitalization excellence Journey
  • Support DI PA MP2025

Areas of Responsibility

  • Overall this team leads PA internal digitalization strategy formulation and roadmap
  • Lead and drive PA digitalization tool development (e.g. Mendix, Uipath), advanced data analysis (e.g. Knime),AI algorithms supported business analysis, advanced management visualization based on BI like Qliksense.
  • Collaborate with business segments to develop tailored digital applications and reports to support PA business intelligence and process efficiency
  • Actively drive and cultivate PA digitalization culture, build up PA overall digitalization competence, and set-up PA digitalization community and circles to share digitalization knowledge, skills and experiences, promoting PA digitalization image in whole DI and Siemens
  • Support business segments for new biz model related data analysis topics

What do I need to qualify for this job?

Education and Experience

  • Master's degree or above in Computer Science, Statistics, Data Analytics, Management information system
  • Solid application skills in one or more of areas such as data mining, AI, programming, nice to have in database, low-code app development, RDA/RPA, BI design, etc. 
  • 3-5 years experience in data analysis related applications or project, especially based on cut-edge algorithms
  • Working experience related to business analytics, finance report digitalization, industrial automation fields is preferred
  • Good communication
  • Excellent command of English both oral and written
  • Quick learning ability, Structural thinking and highly motivated and ready to take on challenges
  • Strong curiosity in areas such as but not limited to AI development trend, business growth driven by data, human and data interaction, etc.
  • UI/UX experience is a plus

Organization: Digital Industries

Company: Siemens Ltd., China

Experience Level: Experienced Professional

Job Type: Full-time

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