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About the Company
VBET is an award-winning sports betting and gaming operator with over 20 years of experience in the industry. We have shifted from a start-up to an extensive international company holding over 10 licenses and operating in over 120 countries. VBET’s mission is to give our customers the best betting and gaming experience in a safe and secure environment.
About the Role
Drive the organization’s data strategy, oversee complex BI projects, and deliver actionable insights to influence high-level decision-making. Serve as a key advisor to leadership, mentor junior analysts, and spearhead innovations in data processes and analytics frameworks.
Key Responsibilities
- Analyze and interpret complex datasets to identify trends, opportunities, and areas for improvement related to risk management
- Design, build, and optimize complex dashboards, reports, and data models using BI tools (e.g., Metabase) related to risk management
- Design, build, and maintain ETL/ELT pipelines using Airflow, dbt and SQL
- Providing data to risk teams across various business lines to support operational and managerial decision-making regarding risk management
- Monitor and maintain data quality, ensuring accuracy and consistency across systems
- Analyzing various business metrics, identifying trends and dynamics, to detect anomalies and their causes
- Conduct in-depth analyses to uncover opportunities, trends, and risks, delivering clear recommendations to stakeholders
- Ensuring the monitoring and detection of various types of fraud in iGambling
- Conducting analytics of fraudulent schemes, creating customer profiling and segmentation, with the goal of preventing high-risk scenarios
- Conducting post-implementation analysis of the effectiveness of fraud detection and counteraction functionality
- Developing the library of risk metrics and investigating their relationship with the company's business metrics
- Oversee the maintenance and optimization of data pipelines, ETL processes, and data warehousing solutions
- Provide mentorship and technical guidance to junior and mid-level BI analysts, fostering team growth and development
Key Qualifications
- University degree in Math, Statistics, Computer Science, Economics or a related fields
- At least four years of experience in a relevant position (iGaming, online products, e-commerce)
- Strong analytical skills and ability to analyze large datasets, knowledge in data discovering methodology
- Understanding of metrics related to online business (risk, web, product, CRM, general financial)
- Experience with risk analysis is a strong plus
- Strong SQL skills for data extraction, transformation, and modeling
- Experience with dbt for data transformations
- Hands-on experience with Airflow for pipeline orchestration
- Proficiency in Python or R for advanced analytics and automation
- Strong project management skills with experience leading cross-functional initiatives
- Experience with Tableau and other BI instruments
- Upper-Intermediate English and Russian (spoken and written)
- Excellent presentation skills to effectively communicate insights to technical and non-technical audiences
- Knowledge of data governance and regulatory compliance frameworks
Competences
- Strategic Thinking: Ability to align BI initiatives with organizational goals and long-term strategies
- Analytical Excellence: Mastery in interpreting complex datasets and providing clear, actionable insights
- Attention to Detail: Ensuring high standards of data quality and accuracy
- Collaboration: Strong interpersonal skills to partner with stakeholders at all levels of the organization
- Innovation: A proactive mindset to identify and implement new tools, processes, and methodologies
- Business Acumen: Deep understanding of business operations and market trends to deliver impactful insights
Key Skills
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