Junior Data Analyst

hace 1 día


Ciudad de México, Ciudad de México Decathlon A tiempo completo

THE PROJECT

At Decathlon, customers and partners have a common passion: sport and its accessibility to all.

We are a team of dynamic and enthusiastic athletes who share a common purpose: 'Move people through the wonders of sports'.

We are interested in your sporting and commercial profile.

If you are passionate about sports, customer service, sales and being part of a DreamTeam?

Turn your passion for sports into a professional adventure.

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.

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


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