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Boston Scientific Data Analyst- Capital Equipment Customer Care EMEA 
Netherlands, Limburg 
256184029

02.08.2024

Your key responsibilities will include:

  • Conversion Object Identification: Identify and document all necessary data conversion objects for the successful implementation of SAP S/4Hana and Salesforce/ServiceMax.
  • Conversion Strategy Development: Develop and execute comprehensive data conversion strategies, ensuring data integrity and consistency across systems.
  • Load Template Creation: Design and create load templates to guide teams on required data inputs for system migration.
  • Data Cleansing: Lead and coordinate data cleansing activities, collaborating with business units to ensure data quality and accuracy.
  • Data Mapping: Map existing data to new system requirements, ensuring proper alignment and functionality within SAP S4 and ServiceMax. Develop an understanding of how processes translate to data and system flows.
  • Data Validation: Perform data validation and testing to ensure successful data migration and integration.
  • Documentation: Maintain comprehensive documentation of data conversion processes, strategies, and activities.
  • Data Asset Creation and Automation: Support the Magellan and other data analytics teams in creating custom data sets and automation solutions within the SAP and Salesforce ecosystems or other downstream systems/analytics solutions through expert knowledge of the data and its translation of the process.
  • Data Process Understanding: Develop an understanding of business processes as they pertain to data

Who are we looking for:

  • Bachelor’s degree in a related field such as Data Science, Information Systems, Business Analytics, or a similar discipline.
  • 3+ years of experience in data analysis, data migration, or data management roles.
  • Proficiency in SAP S/4Hana and Salesforce/ServiceMax systems.
  • Experience in Tableau (Prep), PowerBI
  • Knowledge of SQL and/or Python
  • Strong analytical skills with the ability to identify data inconsistencies and provide solutions.
  • Experience with data mapping, data cleansing, and data validation processes.
  • Excellent documentation skills and attention to detail.
  • Strong communication and collaboration skills, capable of working effectively with cross-functional teams and stakeholders.
  • Preferred:
    • Experience with large-scale system implementations or transformations.
    • Knowledge of data governance and data quality best practices.

This position will be a perm position and you will work hybrid from our office at the European Distribution Center in Kerkrade- The Netherlands.