Data Analyst

At FACEIT we’re looking for an experienced data analyst with good foundations in a wide range of programming, mathematical, statistical and data science techniques. The ideal candidate will be happy working alone but will still be a team player who can confidently and proactively communicate across the organisation.


  • Help us expand our existing reporting and dashboard solutions.
  • Design and perform statistical analysis which will help us understand our userbase better and which will support our A/B Testing needs.
  • Run ad-hoc queries against our data warehouse.
  • Work closely with various technical and non-technical business areas and make sure that strategic decisions are backed by the available data.

Required Skills

  • Advanced SQL (common table extensions, window functions etc.) – any flavour will do;
  • Good knowledge of of the Python data analysis toolkit (jupyter notebooks, numpy, pandas, matplotlib, plotly etc.). Knowledge of R / SaS / Stata will also be considered;
  • Solid understanding of basic statistics fundamentals and applications (such as designing and interpreting A/B tests, cohort analysis, t-tests, z-tests, hypothesis etc.);
  • Any experience with BI tools like Mode Analytics/Tableau/Looker and web analytics platforms like Mixpanel and Keen Io;
  • Ability to quickly learn new concepts and apply them.

Bonus Skills

  • Hands-on experience with cloud platform solutions like Google Cloud Platform (Compute Engine, BigQuery, Cloud Storage), or AWS (EC2, Redshift, Athena, S3);
  • Git for version control;
  • Linux/Unix experience and use of command line tools;
  • Exposure to data science techniques (supervised and unsupervised machine learning algorithms, time series analysis, outlier detection), ideally in a production environment;
  • An interest in data engineering and in working with unstructured data;
  • Passionate about learning new, cutting-edge technologies and finding applicable business cases as needed;
  • A passion for gaming.

Bonus Skills

  • B.Sc. in applied statistics, mathematics, physics, data science, or a related discipline.