Data Science Analyst

Data & Analytics

Junior

Amsterdam

Who we are

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 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 our clients on 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

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

1-3 years of professional experience in the analytics domain.
An advanced degree in quantitative field (e.g. Engineering, Mathematics, etc.).
An ability to think analytically, decompose problem sets, develop hypotheses and recommendations from data analysis.
Strong technical skills regarding data analysis, statistics, and programming. Strong working knowledge of SQL, Python, R, and/or Matlab.
Ability to talk the language of statistics, finance, and economics.
Profound knowledge of the English language.