Data Analyst

We are seeking a skilled Data Analyst to join Revpanda.

The ideal candidate will be responsible for analyzing and interpreting data related to revenue, client, player behavior, registrations, FTD (First-Time Depositors), payback, and marketing efforts. Your insights will support strategic decisions and optimize our marketing and operational strategies.

Responsibilities:

• Data Collection & Analysis: Gather, process, and analyze data from various sources, including player behavior, registration, FTD, payback, and marketing and financial campaigns.
• Reporting & Dashboards: Develop and maintain comprehensive dashboards and reports to monitor key performance indicators (KPIs) and business metrics.
• Insights & Recommendations: Identify trends, patterns, and anomalies in the data, providing actionable insights and recommendations to improve business outcomes.
• Collaboration: Work closely with marketing, product development, and operational teams to understand their data needs and deliver relevant insights.
• Market Analysis: Conduct market and competitor analysis to identify opportunities for growth and optimization.
• Data Integrity: Ensure data accuracy and integrity through regular data quality checks and validation processes.
• Visualization: Create clear and effective data visualizations to communicate complex data insights to non-technical stakeholders.

Requirements:

• Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.
• Proven experience as a Data Analyst, preferably in the iGaming, digital marketing, or related industries.
• Proficiency in data analysis tools and software such as SQL, Excel, Looker Studio, Power BI, or similar.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Experience with statistical analysis and data visualization techniques.
• Familiarity with digital marketing metrics and iGaming industry trends.
• Excellent communication skills with the ability to present complex data insights in a clear and concise manner.
• Strong problem-solving skills and the ability to think critically and strategically.
• Ability to work independently and as part of a team in a fast-paced environment.

Preferred Qualifications:

• Knowledge of web analytics tools (e.g., Google Analytics).
• Experience with A/B testing and data-driven experimentation.

What we offer:

• Friendly and supportive colleagues
• Diverse opportunities for professional growth and career development
• Possibility to take part in international conferences and online courses
• Competitive salary
• Birthday day off
• "Refer a friend" bonus
• Corporate events
• LinkedIn Learning complimentary access