IT G2M Japan Data Analytics Lead

Tokyo, Tokyo, Japan

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IT G2M Japan Data Analytics Lead

We aspire to be the Patient Centric global biopharmaceutical leader transforming the lives of people with severe diseases and need exceptional individuals to achieve this goal. We are looking for enthusiastic and talented professionals who thrive on challenge and change, who want to make a difference and deliver results.

Role

 

We are looking for a candidate to support our Go to Market (G2M) Data and Reporting initiatives. The G2M analytics lead has a good understanding of UCB business activities and strategy, is familiar with the market access, CRM /Marketing generated data and external data providers, the functional and technical aspects. The G2M Analytics lead is responsible for the execution of Japan markets market access and commercial data and reporting initiatives. This role will leverage knowledge of both pharmaceutical dimensions and analytics model outputs to deliver the analytics data framework across both Neurology and Immunology business units and market access units. Business Intelligence Reporting solutions include dashboards, standard reporting, ad hoc query and data discovery.  Critical accountabilities include, but are not limited to:

  • Analyze business requirements, propose and implement data reporting solutions following UCB Patient Value Principles (From Task to Value, From Noise to Signal, Space with Consistency, Helpfulness and Generosity)
  • Partner with stakeholders (Commercial teams, Operational Excellence…) in various locations to identify areas of improvement and innovation in the commercial reporting area (new initiatives, or improvement of current solutions)
  • Partner with the rest of the Data and Platforms Group to build foundational infrastructure, data governance, and master data management as inputs into business intelligence reporting;
  • Engage Data and Platform UCB partners as needed to ensure underlying foundational tools enable business intelligence reporting and advance analytics success criteria, collaborate across IT and units team to inform on the best information architecture
  • Partner with IT teams (Architecture, BI Center of Excellence, Operations and support teams) in various locations at all steps of project lifecycle to ensure consistency in tools and standards, smooth set up of solutions and appropriate transition to support and operations
  • Manages projects from start to finish and ensure successful implementation within agreed cost, schedule and quality targets

 

 

Profile

  • 5+ years of successful business data analysis, functional analysis and project management
  • Passionate about data and innovation, and how it can help to make decision and improve lives of Patients
  • Experience in latest analytics tools and technologies: Reporting and analytics tools, ETL, data virtualization and data warehousing; Experience of working with data scientists and their methods: understanding of how data needs to be prepared for use by data scientists.
  • Keep up to date on market trends and developments in Artificial Intelligence, Data Science and related new technologies to provide recommendations and deliver standard methodology solutions
  • Good understanding of Data Ingestion/Management/Modeling and analytic solutions design (Erwin, KNIME...), Big Data platforms (Spark, Hadoop, SAP/HANA, etc) and BI visualization tools like Qlik, Tableau, Power BI, etc.
  • Understand business strategies, identify, and clarify business issues to determine analytic objectives, structure and conduct analyses
  • Ability to navigate through rapid changes, flexibility and imagination to adapt
  • Ability to think “big picture” and identify changes which will result in the largest impact for patients
  • Excellent collaboration and interpersonal skills including the ability to influence across the organization and externally; ability to partner and collaborate across both IT and Science teams to inform on the best Information Architecture.
  • Excellent global communication skills and fluency in English.
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Tags: Architecture Big Data Business Intelligence Data analysis Data Analytics Data governance Data management Data Warehousing ETL Hadoop KNIME Pharma Power BI Qlik Spark Tableau

Region: Asia/Pacific
Country: Japan

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