Вимоги:
- 5 years of professional experience in analytics, with at least 2 years specifically in the gaming industry.
- Expertise in Azure Data Explorer (ADX) and KQL for querying and analyzing large datasets.
- Strong skills in PowerBI for dashboard creation and data visualization.
- Experience with SQL and scripting languages (e.g., Python, R) to automate data processing and analysis.
- Solid understanding of game KPIs, player behaviour analysis, and game economy modelling.
- Strong communication skills to present complex data insights to non-technical stakeholders.
- Attention to detail, critical thinking, and problem-solving skills.
- Have a passion for Gaming and an understanding of the gaming industry’s dynamics and trends.
- Good written and spoken English.

Desirable
- Experience in battle royale or other competitive shooter multiplayer genres.
- Familiarity with Google Tag Manager for event tracking for marketing purposes.
- Familiarity with Gamesight for analyzing player acquisition data.
- Knowledge of machine learning models and predictive analytics in gaming.

Умови роботи:
- Analyze in-game data to track player behavior, game performance, and engagement patterns.
- Develop and maintain interactive dashboards and visualizations using PowerBI to communicate key metrics and insights to stakeholders
- Leverage Azure Data Explorer (ADX) to query large datasets, perform data exploration, and derive actionable insights.
- Work closely with game designers, product managers, and developers to understand key metrics, KPIs, and project objectives for Off The Grid.
- Proactively identify trends, opportunities, and potential risks within the game economy, retention rates, and player progression.
- Collaborate with the engineering team to ensure data accuracy, availability, and scalability.
- Engage in hypothesis exploration by conducting ad-hoc data mining and analysis to investigate hypotheses related to existing product features and identify opportunities for improvements.
- Provide regular reports and present key findings to leadership and development teams.
- Participate in player behavior analysis utilizing statistical analysis to deeply understand player behavior, contributing to the development of targeted solutions for player engagement and retention.
- Create forecast models for the game, enabling data-driven decision-making for game development and improvement.
- Screening
- Interview 1
- Interview 2
- Offer

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