Metyis is growing! We are looking for a Data Science Analyst to join our Data & Analytics team in Barcelona.
Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big 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.
You will have the opportunity to collaborate with Data Scientists and other data professionals, gaining valuable experience and insights from working closely with experts in the field.
Interact with our clients on a regular basis, to drive their business towards impactful change.
Work in multidisciplinary teams and learn from motivated colleagues.
A chance to take responsibility for your work, develop yourself every day and take full ownership of your career.
Become part of a fast-growing international and diverse team.
As a Data Science Analyst, you are responsible for turning our clients’ business a more data-driven one, where data is used to drive action in every team, every day.
Solve Data Science and Analytics problems that we face at clients.
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.
Enjoy the rich knowledge sharing environment of Strategists, Data Engineers, Data Analysts and Data Scientists.
1–3 years of experience in analytics or data-driven roles.
Advanced degree in a quantitative field (e.g., Engineering, Mathematics, Economics).
Strong analytical mindset with the ability to break down complex problems and generate data-driven insights.
Proficiency in SQL and programming languages such as Python, R or Matlab.
Solid knowledge of statistics, machine learning, and data visualization tools (e.g., Power BI, Tableau, Shiny).
Comfortable communicating in the language of data, statistics, finance, and economics.
Intellectual curiosity and a strong decision-making ability based on data and theoretical frameworks.
Fluency in English and Spanish (spoken and written).