Data Science Analyst

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 customer and product analytics, marketing analytics, and (Gen)AI solutions.
• 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.

What you’ll bring

• Bachelor or Master (or Ph.D.) degree in a quantitative field with a focus on data analysis (e.g. econometrics, AI, mathematics, physics, and other exact sciences).
• 0-3 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.
• Good knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.

g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python), and from data visualization (e.g. PowerBI) to machine learning and AI.

Understanding data engineering solutions is a plus.

• Experience with version control systems, particularly Git, and containerization technologies like Docker.
• 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.
• Professional fluency in English required with (Swiss) German as a strong plus.
Vor 21 Tagen