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Data Science Analyst

Data Science Analyst

MetyisPorto
Há 12 horas
Descrição da vaga

What we offer

  • A chance to grow your analytics skills in a supportive, international environment.
  • Direct exposure to real-world business challenges and data-driven strategy.
  • Mentorship from experienced data scientists and analysts.
  • Opportunities to evolve toward more advanced data science roles.
  • Dynamic and diverse team within one of the leading global fashion brands.
  • Become part of a fast-growing international and diverse team.

What you will do

  • Support data-driven decision-making by preparing and analyzing data related to customer behavior, CRM performance, and sales across multiple channels.
  • Work closely with data scientists and business stakeholders to translate business questions into meaningful insights.
  • Perform exploratory data analysis (EDA) to support data science model development.
  • Use Python and SQL to clean, process, and visualize data in support of analytics and modeling projects.
  • Apply basic statistical methods (e.g. descriptive statistics, correlation analysis, hypothesis testing) to uncover insights.
  • Ensure data quality and consistency across sources by collaborating with data engineering and IT teams.
  • Communicate findings clearly through presentations and storytelling.
  • Actively participate in sprint planning, reviews, and agile ceremonies within the team.

    • What you’ll bring

  • 1–2 years of experience in analytics, business intelligence, or a related data role (internships included).
  • Bachelor’s or master’s degree in a quantitative field such as Statistics, Economics, Business Analytics, or Engineering.
  • Experience working with data using SQL and Python (pandas, matplotlib / seaborn).
  • Experience with PySpark and Spark technologies is a strong plus, but not mandatory.
  • Basic understanding of statistics and its application in business analytics.
  • Strong attention to detail, curiosity, and eagerness to learn.
  • Good communication skills, including the ability to explain data insights to non-technical stakeholders.
  • Team player with a proactive mindset and willingness to grow in a collaborative environment.
  • Fluency in English (written and spoken)

    • Nice to have :

  • Exposure to cloud platforms like AWS, Azure or Databricks.
  • Knowledge of Python packages used in machine learning (e.g. scikit-learn).
  • Participation in academic or personal analytics projects
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