Analytics Trainee en Barcelona, España is listed on Jobeax. Browse 80,000+ vacancies available.
About the role
Providing support in the programming, structuring, and automation of data projects, as well as in the creation of Power BI dashboards for European subsidiaries, contributing to improving the availability, quality, and use of commercial information.
Projects will be mainly oriented towards advanced analytics applied to business, without requiring complex Machine Learning or Deep Learning models. The focus will be on transforming scattered data into practical tools for decision-making.
What you'll do
Collaborating in the extraction, cleaning, transformation, and analysis of data from different sources.
Providing support in customer segmentation projects, sales analysis, commercial activity tracking, product performance, and reporting for the European region.
Automating tasks using scripts in Python, SQL, or other tools.
Creating and evolving Power BI dashboards for commercial teams.
Collaborating in presenting projects to business teams.
Learning and documenting how the different European subsidiaries operate commercially and in reporting, as well as identifying data sources.
Identifying opportunities for standardization, automation, and improvement of commercial processes.
Participating in the creation and maintenance of shared repositories for scripts, documentation, datasets, and dashboards.
Collaborating in building a common foundation that allows scaling future data projects.
Learning outcomes
Real-world application of data analytics in the pharmaceutical sector.
Operation of commercial departments in European subsidiaries.
Creation of dashboards for business users.
Cleaning, structuring, and exploitation of data in the commercial area.
Collaboration between local, European, and corporate teams.
Why Ferrer?
Make a positive impact on society
Opportunity to participate in volunteering activities.
Corporate culture based on trust and responsibility.
Hybrid and collaborative working model.
Development opportunities and continuous learning.
Meal vouchers in case of a split shift.
Flexible compensation
People support plan (psychological, legal and financial counseling).
Requirements
If you are an empathetic, humble, curious and optimistic person, Ferrer is your company!
You will be the best in this role if you match:
Undergraduate or master's degree student, or equivalent training in data science, statistics, engineering, or computer science.
Advanced knowledge of Python for data processing and analysis.
Advanced knowledge of SQL for querying and manipulating databases.
Knowledge of machine learning, deep learning, and statistics.
Basic experience in Power BI for creating dashboards.
Optional: Experience in creating web scraping scripts.
If you think your profile could be a good fit and you are eager to start an exciting new project, we are waiting for you!
At Ferrer we guarantee equal treatment and opportunities in hiring, avoiding prejudice and stereotypes for any reason in the processes of access to the company, considering only objective criteria such as professional skills, academic qualifications and work experience.
About the role
Dar soporte en la programación, estructuración y automatización de proyectos de data, así como en la creación de dashboards de Power BI para las filiales europeas, contribuyendo a mejorar la disponibilidad, calidad y uso de la información comercial.
Los proyectos estarán orientados principalmente a analítica avanzada aplicada al negocio, sin requerir modelos complejos de Machine Learning o Deep Learning. El foco estará en transformar datos dispersos en herramientas prácticas para la toma de decisiones.
What you'll do
Colaborar en la extracción, limpieza, transformación y análisis de datos provenientes de diferentes fuentes.
Dar soporte en proyectos de segmentación de clientes, análisis de ventas, seguimiento de actividad comercial, performance de productos y reporting de la región de Europa.
Automatizar tareas mediante scripts en Python, SQL u otras herramientas.
Creación y evolución de dashboards en Power BI para equipos comerciales.
Colaborar en la presentación de proyectos a los equipos de negocio.
Aprender y documentar cómo trabajan las diferentes filiales europeas a nivel comercial y de reporting e identificación de fuentes de datos.
Detectar oportunidades de estandarización, automatización y mejora de procesos comerciales.
Participar en la creación y mantenimiento de repositorios compartidos para scripts, documentación, datasets y dashboards.
Colaborar en la construcción de una base común que permita escalar futuros proyectos de data.
Aprendizajes
Aplicación real de la analítica de datos en el sector farmacéutico.
Funcionamiento de departamentos comerciales en filiales europeas.
Creación de dashboards para usuarios de negocio.
Limpieza, estructuración y explotación de datos del área comercial.
Colaboración entre equipos locales, europeos y corporativos.
¿Por qué Ferrer?
Impactar positivamente en la sociedad
Posibilidad de participar en acciones de voluntariado.
Cultura corporativa basada en la confianza y la responsabilidad.
Modelo de trabajo hibrido y colaborativo.
Oportunidades de Desarrollo y aprendizaje continuo.
Tickets restaurant en caso de jornada partida.
Retribución flexible
Plan apoyo a las personas (asesoramiento psicológico, legal y financiero).
Requisitos
Si eres una persona empática, humilde, inquieta y optimista, ¡Ferrer es tu empresa!
Serás el mejor en este papel si coincides con:
Estudiante de grado, máster o formación equivalente en ciencia de datos, estadística, ingeniería o informática.
Conocimientos avanzados de Python para tratamiento y análisis de datos.
Conocimientos avanzados de SQL para consulta y manipulación de bases de datos.
Conocimiento de machine learning, deep learning y estadística.
Experiencia básica en Power BI para creación de dashboards.
Opcional: Experiencia en la creación de scripts de web scraping.
Si crees que tu perfil puede encajar y tienes ganas de iniciar un nuevo proyecto apasionante. ¡Te estamos esperando!
En Ferrer garantizamos la igualdad de trato y oportunidades en la contratación, evitando prejuicios y estereotipos por cualquier motivo en los procesos de acceso a la empresa, valorando únicamente criterios objetivos como las competencias profesionales, académicas y la experiencia laboral.
You'll most likely need Spanish to apply.This job was automatically translated to English, .
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