Data Quality Specialist

hace 6 días


Monterrey, Nuevo León, México Kone A tiempo completo

Founded in 1910, KONE is a global leader in providing elevators, escalators and automatic building doors, as well as solutions for maintenance and modernization that add value to buildings throughout their life cycle.

We are passionate about improving the flow of urban life and making our world's cities better places to live by providing innovative solutions that help make people's journeys safe, convenient and reliable. Our operations in over 60 countries around the world have helped us achieve our position as an innovation and sustainability leader with repeated recognitions by Forbes, Corporate Knights for clean capitalism and others.

KONE is seeking a Data Quality Specialist to join our team in either Monterrey or Guadalajara. This role is responsible for taking appropriate corrective and preventive actions required to improve the data quality. The data can come from various sources including customers; suppliers; products; material; equipment.

Responsibilities:
  • Facilitates the correct creation and completion of data records in line with global process requirements of the data source (i.e. customers; suppliers; products; material; equipment).
  • Ensures data is entered correctly, according to the system specifications and on a timely basis.
  • Executes minor changes in the master database (i.e. updating information on local level data).
  • Gathers all relevant information for data creation and change forms, including contacting local finance departments and/or customers, suppliers etc.
  • Uses specific data management tools that require an advanced level of understanding in master data management and specific competences.
  • Proactively leads the necessary preventive/corrective actions towards the master data.
  • May send the requests for data creation/modification to the Data Administrator after his/her data quality checks are completed.
  • Performs regular data quality control checks at unit level.
  • May conduct end-user training for the data systems or tools to ensure adoption and understanding of global data management processes.


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