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Joost V.JV

Joost V.

Business Intelligence Front-end developer

€200/day
Barcelona, ES
8-15 years

Average response time: 1 hour

About Joost

BI front-end developer and data analyst with excellent consultancy skills as liaison between business and data technology. Business Intelligence developer of many performance and kpi’s dashboards for large organisations on subjects like finance, marketing, projects, logistics, production, HR and client contact. Result driven and able to deliver on-time. Social skills and proactive. Creative and agile.
  • Dutch

    Native or bilingual

  • English

    Fluent

  • German

    Conversational

  • French

    Basic

Can work on-site
Barcelona (up to 50km)

Experience

  • Sanquin
    Business Intelligence Specialist
    MEDICAL
    January 2018 - Today (8 years and 5 months)
    Het Amsterdamse Bos, 1182 DA Amstelveen, Netherlands
    Sanquin is the Dutch bloodbank, blood research and blood pharmaceutical in the Netherlands (3000 employees) Role: Dashboard and report design, querying business objects universes, data analyses, implement self service BI, data governance and reporting processes. Manage pilot SAP analytics cloud. Results: KPI dashboards for management teams of Bloodbank, Facility Management and ICT Tools: SAP BusinessObjects BI-platform 4.2 Sources: e.g. SAP HR, SAP FICO, SAP WH, SAP PM, eProgesa, Trackwise, ServiceNow, Google Analytics Course: SAP Business Objects Data Services (BODS)
  • RELX GROUP
    Data analyst / Business analyst
    December 2016 - July 2017 (7 months)
    Amsterdam, Netherlands
    RELX (aka Reed Elsevier) is the largest scientific publisher in the world (32.000 employees) Role: Dashboarding, reporting, visualisation, datamining and machine learning on publishing and editor data of 1000's scientific journals and editors. Tools: Excel, R, KNIME, PowerBI, Tableau Sources: Databases with journals, contacts, payments, contracts, publishing and editor performance data. Results: Self service BI dashboards in Tableau that are used by employees. Data science analysis resulting in proposals for operational improvements that were accepted and implemented by management. Course: Online marketing (1 year)
  • ING
    Data analyst - Client Contact Center
    September 2013 - June 2016 (2 years and 9 months)
    Amsterdam, Netherlands
    ING is a retail and wholesale bank in over 40 countries (51.000 employees) Contact center optimalization by call center and sales funnel analysis. Designing, updating and distribution of reports and dashboards. Business and requirements analysis. Data mining on call, chat and sales data. Data:
    - MS dynamics CRM (sales and funnel data)
    - Avaya CMS (telephone data)
    - LivePerson (chatting data)
    - IEX TotalView Workforce Mgt (planning and workforce data)
    - NPS (client satisfaction data) Analysis tools:
    - SAP BusinessObjects BI-platform 4.1
    - Programming in R (Rattle, JGR)
    - MS Excel 2010 Course: R programming

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Education

  • drs, communication science
    University of Amsterdam
    1990
    drs, communication science
  • Propedeuse, Psychology
    University of Amsterdam
    1986
    Propedeuse, Psychology

Skill set (8)

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