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【ComEx】Commercial Data Advance Analytics Senior Analyst, Customer Engagement Transformation部 Commercial Advanced Analytics Group

Lieu Osaka, Ōsaka-fu, Japon Kita-ku, Préfecture de Tokyo, Japon Job ID R-121016 Date de publication 11/01/2021

【職務内容 / Job Description】

  • Support our business unit in identifying and prioritizing key business questions, shaping quantitative analysis
  • Build analytic model to obtain insights by consolidating complex data in the way of machine-learning and/or Excel based calculation
  • Contextualizing insights generated from advanced modeling, and drive action based on findings by sharing recommendations to teams, management
  • Constructs analytical platform that simplify controls or analysis while maintaining the integrity of analytical data structures
  • Collaborate with various functions (IT, Global analytics/developer team, Colleagues in commercial excellence) to propose and implement solutions to business unit in sales and marketing area
  • Providing analysis outcome to business unit with knowledge and experience in quantitative analytics
  • Develop and maintain analytics platform to process and analyze a vast amount of data
  • Work across functions to shape, continuously improve advanced analytics capabilities at AstraZeneca
  • Manages ongoing business relationships with data vendors, consultants and selected partners

【経験 / Experience】

<必須 Mandatory>

  • Experience in basic data extractions using SQL and other related database management languages
  • Experience in basic data processing, aggregation and analysis
  • Experience in deployment of analysis outcomes to AWS (e.g. SageMaker, Glue) and building operation flow toward BAU.
  • Experience in translating internal business issues into analytical issues and utilizing analytical resources from within and outside the company to create business values
  • Experience in explaining the contents of complex analysis to non-analytical personnel in a way that is easy to understand, and having an agreement on the course of action while executing a project

<歓迎 Nice to have>

  • At least 3 years of pharmaceutical experience or consulting in analytics experience
  • Experience in project management such as data analysis projects
  • Experience in business communication and document preparations in both Japanese and English languages

【能力 / Skill-set】

<必須 Mandatory>

  • Development of python based machine learning models using Scikit-Learn, Keras, and other related tools
  • Development of Excel / Access based data aggregation
  • Ability to properly understand the business needs and objectives, and proceeding with analysis while having/obtaining an agreement with the user department
  • Ability to create PPT that makes possible to understand complex analysis outcomes by translating mathematic consequences to business insights
  • Experience in the use of other programming languages such as R and/or SAS for analytical processing is also acceptable

【語学 / Languages】

<必須 Mandatory>

  • Business level proficiency in Japanese and English

【その他 / Others】

<必須 Mandatory>

  • Enthusiasm to gain data-driven digital marketing
  • Eagerness to absorb new, cutting-edge methods
  • Good communication skill and logical thinking skill

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.

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Une culture d'entreprise inspirante, des missions riches, des managers qui accompagnent et soutiennent. Des opportunités de rotation rapide au sein de l'entreprise. Ils accordent de l'importance à l'inclusion et à la diversité.