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Data Science Associate

Open 55d

Metyis is growing! We are looking for a Data Science Associate with +4 years of experience to join our international Data and Analytics team, based in Barcelona.

Who we are:

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.

What we offer

  • Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change

  • Become the go-to person for end-to-end data handling, management, and analytics processes.

  • Lead your team in creating the pipeline for Data management, data visualization, and analytics products, including automated services, and APIs.

  • Working with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization.

  • Become part of a fast-growing international and diverse team

What you will do

  • 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

What you’ll bring

  • 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.

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

  • Fluent in English and Spanish (written and spoken).

At Metyis, we are driven by curiosity and collaboration. We value diversity, equity, inclusion, and belonging (DEIB) in all its forms as it makes us stronger as an organisation and promotes creativity and innovation. We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow.

What this application asks

recruitee

Full name, Email, CV, Cover letter, Phone

  • Years of relevant experience for the role you're applying to choose one
  • Do you need, or will you need in the future, visa sponsorship for working in the country where the role you've applied to is located? yes / no · optional
  • What is/was your last/current annual gross compensation? (in your local currency)
  • In order to accept a new job, what would be your gross annual salary expectation? (in your local currency)
  • In terms of notice period, how much would you need to give your current employer, if you decided to leave the company? choose one
  • What is your current English level? choose one
  • Do you speak the local language? yes / no
  • How did you hear about this role and Metyis?

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