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

Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.

With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.

We are Metyis. Partners for Impact.

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: 

• 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