Junior Data Analyst
hace 1 día
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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