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Data Science Associate

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Metyis

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Location:
Spain , Barcelona

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. 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.

Job Responsibility:

  • Perform data analysis in the field of Growth Revenue Management, Marketing Analytics, CLM/CRM Analytics and/or Risk Analytics
  • Conduct analyses in typical analytical tools ranging from SAS, SPSS, Eviews, R, Python, SQL, Teradata, Hadoop, Access, Excel, etc.
  • Communicate analyses via compelling presentations
  • Solve problems, disaggregate issues, develop hypotheses and develop actionable recommendations from data and analysis
  • Prepare and facilitating workshops
  • Manage stakeholders and communicating with executives
  • Coach and mentor team members

Requirements:

  • 3–5 years of professional experience in the analytics domain
  • Advanced degree in a quantitative discipline (e.g., Mathematics, Computer Science, Programming, or related field)
  • Strong analytical mindset with the ability to break down complex problems, formulate hypotheses, and derive actionable recommendations from data analysis
  • Strong technical expertise in data analysis, statistics, and programming, with proficiency in Python, Hadoop, SQL, and/or R
  • Hands-on experience with Python data libraries and tools such as Jupyter, Pandas, Scikit-Learn, and Matplotlib
  • Fluent in English and Spanish (written and spoken)

Nice to have:

Ability to communicate effectively using the language of statistics, finance, and economics is a plus

Additional Information:

Job Posted:
February 24, 2026

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