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Una empresa de asesoría internacional busca un Analista de Datos para Reconciliación para unirse a su equipo de consultoría. En esta emocionante posición, serás responsable de extraer y analizar grandes conjuntos de datos, desarrollando tuberías de datos y creando informes y paneles de control utilizando herramientas como QlikSense y Power BI. Trabajarás en un entorno ágil, colaborando con equipos multifuncionales para garantizar la precisión y calidad de los datos. Si te apasiona el desarrollo y la tecnología, esta es una gran oportunidad para crecer en un entorno multicultural y participar en proyectos internacionales.
Talan is an international advisory group on innovation and transformation through technology, with 5000 employees, and a turnover of 600M€.
We offer our customers a continuum of services to support you at each key stage of your organization's transformation, with 4 main activities:
Talan accelerates it's clients' transformation through innovation and technology. By understanding their challenges, with our support, innovation, technology and data, we enable them to be more efficient and resilient.
We believe that only a human oriented-practice of technology will make the new digital age an era of progress for all. Together let's commit!
For our client's project, one of the largest banks in Spain, we are looking for aData Analyst for Reconciliation to join our consultancy team. The ideal candidate will have strong experience in data analysis, backend processing, and reporting tools within an Agile environment.
What would you be doing?
Extract, process, and analyze large datasets to support reconciliation processes.
Develop and maintain data pipelines using Python and PySpark.
Create insightful reports and dashboards with QlikSense or Power BI.
Collaborate with cross-functional teams in an Agile environment (Scrum/Kanban).
Ensure data accuracy and quality while optimizing processes.
What we are looking for?
Education: Bachelor’s degree or equivalent in a related field.
Experience: Minimum of 2 years as a Data Analyst in Delivery projects.
Technical Skills:
Strong proficiency in Python and PySpark for data processing.
Experience with QlikSense or Power BI for data visualization.
Familiarity with Agile methodologies (Scrum/Kanban).
What do we offer you?
If you are passionate about development & tech, we want to meet you!