12 days ago

Junior Data Analyst

Adidas

On Site
Full Time
€50,000
Porto, Portugal

Job Overview

Job TitleJunior Data Analyst
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary€50,000
LocationPorto, Portugal

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Job Description

About the Role

Join adidas Data & Analytics (D&A) Market Europe team to deliver business value for the European market. In this role, as a Junior Data Analyst, you will explore various internal and external data sources, integrate the data for consumption in a Big Data Lakehouse, and visualize insights using analytical tools.

What You Will Be Doing

  • Deliver unseen insights generated from data.
  • Create the data backbone powering Analytics and AI solutions.
  • Work with latest technologies: Spark, Delta Lake, Airflow, Python.
  • Utilize Databricks in a Data Mesh concept.

What We Are Looking For

  • Senior Year or completed degree in Information Systems, Computer Science, or related fields.
  • < 1 year of experience in an IT-related environment.
  • Proficiency in Python and SQL for autonomous data application development.
  • Data visualization skills using PowerBI, Microstrategy, Tableau, Matplotlib, or Plotly.
  • Fluency in written and spoken English.

What We Are Offering

  • Competitive salary and benefits.
  • Hybrid work policy with flexible working hours.
  • Sports and work-life balance incentives.
  • Upskilling and internal growth opportunities locally and internationally.
  • An international and diverse work environment with state-of-art office conditions.

Key skills/competency

Data Analytics, Big Data, Python, SQL, Data Visualization, Spark, Delta Lake, Airflow, Databricks, Insights

Tags:

Junior Data Analyst
Data Analytics
Python
SQL
Data Visualization
Spark
Delta Lake
Airflow
Databricks
Insights

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How to Get Hired at Adidas

  • Customize your resume: Tailor it to highlight data skills.
  • Research adidas culture: Study their values and projects online.
  • Showcase projects: Present any relevant data visualizations or models.
  • Practice technical questions: Prepare for Python and SQL challenges.

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