Manager Data Analytics
Takeda Pharmaceutical Company Limited
Hikari, Japan; Osaka, Japan
4 日前

Job Overview Key Responsibilities

  • Gathers and identifies local data analytics possibilities / initiatives / requests in collaboration with IT and global GMSGQ data analytics.
  • Drives the execution for local implementation of GMSGQ data analytics roadmap initiatives.
  • Owns, manages and drives local data analytics initiatives, such as for Predictive Maintenance, Down Time Analysis and respective Database management.
  • Manages the respective functional and cross-functional inter dependencies accordingly.

  • Manages and drives local process monitoring and process improvement in collaboration with global GMSGQ data analytics (e.
  • g. descriptive statistics and visualization, statistical process control, out-of-the-box-tools)

  • Manages, drives and executes respective reporting in collaboration with global GMSGQ data analytics (e.g. automated daily / monthly / annual, Stability Analysis Targets)
  • Supports and participates in global / functional / local GMSGQ data analytics community.
  • Required

  • Expertise and experience in Digital / Big Data Analytics / Artificial Intelligence / Machine Learning : Expertise in Signal Processing, Control Systems, MechatronicsKnowledge of Statistical Process ControlExperience in Machine Learning algorithms (CNN, SVM, LSTM, etc.
  • Respective programming knowledge of either MATLAB / Python / R required, further skills such as C++, SQL etc. are advantageousExperience in quality mapping of parameters is a plus

  • Expertise in Bayesian statistics : Experience in Density estimationKnowledge in Bayesian Hypothesis Testing,Knowledge in ANOVA and forecasting techniques (ARIMA, ARMA, NARX)Prior experience of Biostatistics, stochastic modelling and decision trees is a strong asset
  • University degree of science / business. BSc degree is required, e.g. in Engineering , Mathematics, IT or Physics background with focus on e.
  • g. Control Theory / Statistics / Mechatronics, Information / Operation, Technology, Innovation Management

  • Capabilities to translate business needs into data analytics concepts and the other way
  • Hands-on, able to implement and execute initiatives
  • High level project management skills
  • Ability to interface with international stakeholders and to connect internal and external data analytics experts of both academia and industries
  • Fluent written and spoken English mandatory
  • Travel requirements

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