FAVBET is an Entertainment Tech company founded in 1999. We develop betting and gaming services, sponsor and develop sports.We've been making the game spectacular for over 25 years. FAVBET is a team in which everyone makes sports brighter, and the game experience is unique.FAVBET supports both professional athletes and amateurs , sponsors Premier League teams and regional championships. It is a responsible company that stands for the culture of betting and the culture of the game. We also invest
FAVBET is an Entertainment Tech company founded in 1999. We develop betting and gaming services, sponsor and develop sports.
We've been making the game spectacular for over 25 years. FAVBET is a team in which everyone makes sports brighter, and the game experience is unique.
FAVBET supports both professional athletes and amateurs , sponsors Premier League teams and regional championships. It is a responsible company that stands for the culture of betting and the culture of the game. We also invest in the fight against addiction, help to overcome crisis situations, monitor the compliance of age restrictions for players.
We are looking for Junior Data Analyst to optimize data processing, which will contribute to increasing the efficiency of business processes. The main duties will include unloading data from the database and preparing short analytical reports on mailings and promotional campaigns.
Main tasks:< /strong>
- Import and export of data in internal systems.
- Analysis of marketing mailings and promotions, conducting custom analyzes with further transfer of data and highlighting of key insights.
- Outloading custom customer groups from the database for spot tasks of retention managers.
- Help in developing and planning customer retention strategies.
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- Interaction with teams from other areas to ensure the efficiency of joint processes.
It is important for us:< /strong>
- Proficient in Excel, including creating tables, working with formulas (SUM, IF, VLOOKUP), processing CSV- files, using Pivot Table for summary tables.
- Power Pivot, R, Python, Power BI, BigQuery - knowledge of these tools will be a plus for professional growth in analytics, but is not mandatory at the start.
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- Basic knowledge of SQL for writing simple queries to the database and uploading custom customer groups.
- Analytical thinking and understanding of metrics - general data analytics, as well as product and marketing analytics.
- Experience with data visualization tools to create clear reports.
- Able to explain data and insights and communicate with cross-functional teams.
We offer:
- 24 calendar days of paid vacation and compensation for 10 sick days;
- Medical insurance or gym membership;
- Free corporate English language courses;
>- Remote work or the opportunity to work in your own modern and convenient office (near Pochaina station);
- Flexible work schedule - full-time employment without excessive bureaucracy, micromanagement and tracking of working hours;-