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Data Analyst Junior

Descrição da vaga

En Decathlon, clientes y colaboradores tenemos una pasión en común: el deporte y su accesibilidad a todos.

Somos un equipo de deportistas dinámicos y entusiastas, que comparten un mismo propósito:

"Move people through the wonders of sports".


Nos interesa tu perfil deportivo y comercial.



Si te apasionan el deporte, el servicio al cliente, las ventas y ser parte de un DreamTeam…

Convierte tu pasión por el deporte en una aventura profesional👇

Responsabilidades e atribuições

Job Description

As a junior data scientist, you will join a team of about 2 people, consisting of a data scientist and the data leader. Your responsibilities will include:

  • Responding to various types of data requests from company colleagues (data extractions, automated emails, dashboards, data analysis).
  • Maintaining and improving the team's data pipelines.
  • Participating in discussions with stakeholders.
  • Contributing to the growth of other team members and helping to establish best practices.
  • Finding ways to collaborate with other teams within the company and identifying opportunities to add value through effective communication (e-commerce, stores, marketing, etc.).

It is essential to be versatile, showing strong interest and leadership in related areas such as data analyst or business intelligence.


Responsibilities

As a Versatile Data Scientist, you will join a team of three people made up of data scientists and backend developers. You will play a central role in meeting the company's varied needs, combining skills in data science, data engineering, business intelligence, and application development. Your responsibilities will include:

  • Data Requests: Handling data requests from various company departments, including data extractions, automated emails, dashboard creation, and data analysis.
  • Improving Data Processes: Maintaining and enhancing the team's data management processes by developing and optimizing data pipelines for more efficient analyses.
  • Algorithm and Application Development: Fixing bugs, improving existing features, and developing new features for our data models.
  • Collaboration and Communication: Participating in discussions with stakeholders, identifying opportunities to collaborate with other teams (e-commerce, stores, marketing, etc.), and clearly and regularly communicating progress.
  • Supervision and Mentoring: Supervising university interns and contributing to the upskilling of other team members by sharing best practices and fostering a continuous learning culture.

Requisitos e qualificações

Desired Profile

We are looking for a candidate with a bachelor degree in computer science, data science, engineering, mathematics, physics, or any other relevant field, with at least 1 year of experience in:

  • Data Manipulation and Management: Advanced skills in SQL, Python, and R to handle large amounts of data, develop data visualization tools (connections) (Tableau, etc.), and perform analyses to generate relevant insights. Familiarity with Databricks, postgress & Github.
  • Application Development and Machine Learning: Knowledge in developing data-driven applications and machine learning with Python, including deep learning methods (NLP, time series).
  • Cloud Computing Skills: Experience with cloud platforms (AWS- Redshift S3) for data storage, executing scheduled scripts, and deploying applications. (Agregar AWS)
  • Autonomy and Time Management: Ability to work independently, manage your own projects, and prioritize tasks effectively.
  • Communication and Collaboration: Ability to effectively communicate with cross-functional teams and non-technical stakeholders to align data solutions with business needs.

Skills and Qualities

  • Problem Solving: Ability to diagnose and resolve complex infrastructure and deployment issues.
  • Collaboration: Strong ability to work in a team across development, operations, and security.
  • Adaptability: Ability to adapt to changing technologies and environments.
  • Communication: Clear and effective communication skills for both technical and non-technical audiences.
  • Time Management: Ability to prioritize and manage tasks independently.

Languages: English & Spanish


Etapas do processo

  1. Etapa 1: Cadastro
  2. Etapa 2: Evaluación de las postulaciones
  3. Etapa 3: Entrevistas
  4. Etapa 4: Prueba
  5. Etapa 5: Contratação

¿ READY TO PLAY ?