Data Science Analyst (Fashion)

Metyis is growing! We are looking for a Data Science Analyst to join our Data and Analytics team in Porto. The ideal candidate should have 1+ year of professional experience in data science.

Requirements

Who we are

We are Metyis, a forward-thinking, global company that develops and delivers solutions around Big Data, Digital Commerce, Marketing and Design and provides Advisory services. We have offices in 15 locations with a talent pool of 1000+ employees and more than 50 nationalities, dedicated to creating long-lasting impact and growth for our business partners and clients.

Together with HUGO BOSS, our esteemed business partner, we have embarked on a joint venture and created the HUGO BOSS Digital Campus, dedicated to increasing the data analytics, eCommerce and technology capabilities of the company and boosting digital sales. The HUGO BOSS Digital Campus employees will help create a state-of-the-art data architecture infrastructure, advanced business analytics, and the development and enhancement of HUGO BOSS’ eCommerce platform and services.

This collaborative environment will provide the capabilities required for HUGO BOSS to maximise data usage and support its growth trajectory towards becoming the leading premium tech-driven fashion platform worldwide.

We are Metyis. Partners for Impact.

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: 

• Experience in retail, fashion, or e-commerce industries.
• 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