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Lead Data Analyst in Esports Charts

Posted more than 30 days ago


2 applications   0 responses

Esports Charts
Esports Charts
Market Research
0 reviews
More than 3 years
Upper Intermediate
Remote work

Translated by Google

Esports Charts is a Ukrainian product IT company that develops services in the field of eSports analytics. We collect viewing statistics of all live broadcasts in the world and create unique analytics based on this. Esports analytics is not gambling, betting or slots. This is forecasting the number of views and the audience of the next major, as well as finding out who has a larger and better audience - in Evelone or s1mple

We are looking for a strong lead analyst who will help improve our data work, make our metrics even more accurate, and is willing to grow the team of 3 existing analysts

Now we have a lot of large tables (over 100 billion rows) that show the statistics of views of online broadcasts, chat activity and everything else that we can collect. Moreover, we have tools for fast work with data, a web interface for common tasks. Based on these statistics, we create many business metrics, which we then analyze. Although we currently make many predictions, we want to increase their range and accuracy. Examples of what we want to find out - who will be more famous in China in a year - OG or Liquid, how popular the tournament will be in six months, if the invited teams are already known to us.

Important for us:

— Experience in data analytics from 3 years

— Deep understanding of SQL-like databases

— Experience with R / Python for more than a year

— Strong analytical skills — should analyze connections and dependencies, look for reasons for data correlation

— Experience in team mentoring

It will be a big plus:

— Master's degree in technical specialty or economic cybernetics

— Experience with ClickHouse, because 90% of the work will be with it

— Experience with analytical and/or ML libraries — NumPy, Pandas, Scikit-learn, TensorFlow

— background in game development and/or viewing analytics

Specializations: Data Science
Keywords: Lead / Architect, Data analyst

Translated by Google

More than 3 years
Upper Intermediate
Remote work
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