- Proven and successful experience in Data Analytics for over 3 years, including at least 2+ years in leadership roles (Lead)
- Deep understanding of the gambling industry, preferably with experience in online casinos
- Advanced proficiency in SQL, Python, and BI tools
- Knowledge of Data Engineering fundamentals and data architectures (ETL processes, DWH)
- Involvement in implementing A/B testing systems and familiarity with Growth methodologies
- Experience in dashboarding and reporting for C-Level and departments such as product, marketing, finance, VIP, and support.
- Strong analytical thinking, strategic mindset, and attention to detail.
- Ability to work under pressure and tight deadlines, clearly communicate insights and data-driven recommendations to both technical and business stakeholders.
- Proven experience in setting analytical priorities, roadmap planning, and aligning analytics strategy with business objectives.
- Strong stakeholder management and communication skills, including the ability to translate complex data findings into actionable business insights.
- Experience in building and maintaining analytical infrastructure in collaboration with data engineering teams.
- Familiarity with predictive analytics, machine learning applications, and automation of analytical workflows is a plus.
- Excellent problem-solving skills with a hands-on approach and readiness to dive into data when necessary.
- Develop and execute the company’s data and analytics strategy.
- Build and maintain a scalable analytics ecosystem based on Databricks (or other DWH), PySpark, Airflow, and Power BI.
- Lead and coordinate the analytics team across product, marketing, finance, customer care, and web domains.
- Review analytical requests, set priorities, and manage workload distribution within the team.
- Design, optimize, and document data models and ETL/ELT pipelines in collaboration with Data Engineering.
- Ensure data quality, metric transparency, and compliance with regulatory requirements.
- Develop and maintain a unified business metric dictionary and implement systems for data validation, versioning, and quality control.
- Build and maintain advanced Power BI dashboards for executive and operational decision-making.
- Define and track key performance indicators to monitor business health and team efficiency.
- Provide analytical support and actionable insights for business strategy, marketing, finance, and product development.
- Build predictive models (e.g., churn, VIP detection, fraud) and support experimentation through A/B testing and growth frameworks.
- Present insights, trends, and forecasts to C-level management, influencing strategic decision-making.
- Drive standardization, automation, and scalability across all analytics processes.
- Mentor analysts, promote data-driven culture, and ensure continuous improvement in analytical practices.
- SQL
- Python or R, or Scala
- BI tools (preferably Power BI or Tableau)
- Good understanding of statistics, probability theory, economic and mathematical analysis
- Building an analytics system from scratch for a new gambling product (product, marketing, finance).
- Regularly searching for insights in the data and forming product and marketing hypotheses based on them.
- Conducting and evaluating A/B tests to support management decisions.
- Automating ad-hoc analytical queries.
- Cross-functional collaboration with product, marketing, CRM, and IT teams.
- Defining technical requirements for the development team to create the necessary databases for conducting analytics.
