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Data Analyst

Talan Group

Málaga

In loco

EUR 30.000 - 60.000

Tempo pieno

30+ giorni fa

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Descrizione del lavoro

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.

Servizi

Paquete de oficina inteligente
Seguro médico privado
Seguro de vida
Tarjetas de comida y viaje
Desarrollo profesional y capacitación
Posibilidad de trabajar en proyectos internacionales

Competenze

  • Mínimo 2 años de experiencia como Analista de Datos en proyectos de entrega.
  • Fuerte competencia en Python y PySpark para procesamiento de datos.

Mansioni

  • Extraer, procesar y analizar grandes conjuntos de datos para procesos de reconciliación.
  • Desarrollar y mantener tuberías de datos usando Python y PySpark.

Conoscenze

Análisis de datos
Python
PySpark
Visualización de datos
Metodologías ágiles

Formazione

Licenciatura en un campo relacionado

Strumenti

QlikSense
Power BI
Descrizione del lavoro

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:

  • CONSULTING in management and innovation : supporting business, managerial, cultural, and technological transformations.
  • DATA & TECHNOLOGY to implement major transformation projects.
  • CLOUD & APPLICATION SERVICES to build or integrate software solutions.
  • SERVICE CENTERS of EXCELLENCE to support the latter through technology, innovation, agility, sustainability of skills and cost optimization.

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!

Job Description

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.

Qualifications

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).

Additional Information

What do we offer you?

  • Full-time contract
  • Smart Office Pack so that you can work comfortably from home.
  • Training and career development
  • Benefits and perks such as private medical insurance, life insurance, lunch and travel cards as part of the flexible remuneration package
  • Possibility to be part of a multicultural team and work on international projects
  • Possibility to manage work-permits.

If you are passionate about development & tech, we want to meet you!

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