Key requirements:

• Good understanding of mathematical statistics: you can explain the physical meaning of p-value and confidence interval, you know the conditions for the applicability of standard statistical tests.

• Knowledge of marketing metrics (ROI, LTV, CTR)

• Structured approach, responsibility for your own pool of tasks;

• Interest in the field of marketing analytics.

• Confident use of Excel and Google Sheets.

• Ability to present results/conclusions clearly and competently and to express your thoughts.

• Experience working with BI systems.

• Experience working with tools such as Appsflyer, Google Analytics, Yandex.Metrica, and Adjust is desirable.

Main tasks:

• Analysing the effectiveness of advertising campaigns.

• Conducting and evaluating marketing tests and experiments.

• Conducting research and developing data analytics tools to work with hypotheses for improvements in marketing tasks.

• Uploading and analysing segments for marketing.

• Building dashboards and reports for internal customers. Website and mobile app analytics.

• Solving ad-hoc marketing tasks.

Would be a plus:

• Experience in the digital industry

• Proficiency in Python

• Knowledge of SQL at the query level

• Visualisation skills in BI platforms