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CS.MONEY is a leading CS2 skin trading service that allows users to easily buy and sell any of the game’s weapon skins, stickers and items.

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We offer:

  • Competitive salary;
  • Full working day, with flexible schedule.
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EX CORP. – where technology meets a passion for gaming to amplify player experiences. We create products that deepen the gaming world: from personalized content and AI assistants to news platforms and gaming encyclopedias.

We are seeking an Analytics Engineer who can transform raw data into clear insights and functional services. This role blends coding, analytics, design, and solving business problems.

Our Tech Stack:

- Python – for data parsing, ETL, and analytical services.

- SQL – for working with analytical and product databases.

- Apache Airflow – for orchestrating and maintaining data pipelines.

- ClickHouse, internal Power BI / Grafana databases – for dashboards and monitoring.

- Data sources: Google Analytics and internal services.

Your Responsibilities:

- Develop and maintain analytical services and ETL processes.

- Build and optimize services for parsing data from third-party websites (Python).

- Create and manage dashboards and reports in Power BI / Grafana for service monitoring.

- Participate in developing and implementing services based on ML models (e.g., for price optimization).

- Conduct analytical research, test hypotheses, and uncover insights to grow key metrics.

- Gather and integrate data from various sources into unified datasets for analysis.

- Enhance and support data processing workflows using Apache Airflow (experience is a plus, but not required).

We Expect From You:

- Strong proficiency in Python as the primary language for analytics and ETL.

- Experience with libraries for data parsing and processing.

- Advanced SQL skills for writing complex queries.

- Analytical mindset: ability to connect data with business objectives, formulate hypotheses, and draw conclusions.

- Understanding of analytical pipeline design and data processing principles.

- Willingness to take ownership of analytical services and their quality.

Nice to Have:

- Familiarity with classic ML libraries (NumPy, pandas, scikit-learn).

- Experience building dashboards in Power BI or Grafana.

- Understanding of Apache Airflow principles (or readiness to learn quickly).

- A degree in Mathematics, Statistics, Economics, Computer Science, or a related field.

Apply now

cs.moneyAnalyst Developer