Data Operations Manager

hace 4 días


Málaga, Málaga, España Verisk A tiempo completo
About the Role

We are seeking a highly skilled Data Operations Manager to join our team at Verisk. As a key member of our data operations team, you will be responsible for managing data processes and leading a team of data professionals.

Key Responsibilities
  • Supervise and lead a team of Geospatial Property Analysts to ensure optimal performance, professional growth, and strong engagement.
  • Create and oversee data product delivery processes that are efficient, scalable, and adhere to quality standards.
  • Direct the development and upkeep of ETL pipelines to facilitate data integration and analysis.
  • Perform quality checks on data pipelines and products to guarantee data precision, uniformity, and dependability.
  • Oversee the setup and ongoing management of database technology.
Requirements
  • Minimum of 3-5 years' experience in managing data products and their delivery.
  • Demonstrable experience in leading and managing a team of data professionals.
  • Solid background in data processes, including the development and management of ETL pipelines.
  • In-depth experience with database technologies, such as PostgreSQL or other relational database management systems (RDBMS).
  • Proven experience in the quality assurance of data pipelines and products.
  • Exceptional problem-solving skills with the capability to address complex data issues.
  • Effective communication skills, capable of engaging with both technical and non-technical stakeholders.
  • Competence in prioritizing and handling multiple tasks and projects concurrently.
  • Keen organizational skills with meticulous attention to detail.
Desired Qualifications
  • A university degree in a relevant field (Computer Science, Data Science, Geospatial Science).
  • Knowledge of geospatial data and applications (ESRI, QGIS).
  • Proficiency with data visualization tools and methodologies.
  • Familiarity with Agile software development practices and principles.
  • Experience with programming languages, including Python and SQL.

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