.Who we are: We are Inventors of gaming platform, betting, fintech and software solutions.Across the globe, our cross-functional teams create online gaming platforms as well as sports and fintech betting solutions that reach hundreds of thousands of users daily guided by our motto "Fearlessly Forward" together.Your Mission: We are looking for a Data Analyst to join our Payments team and provide insight and analysis for our Payments products (cashier, wallet, payment methods, etc.). In this role, you will combine your expertise in quantitative and statistical methods with your knowledge of payments to ensure our overall product and business strategies are firmly data-driven.You will merge data from multiple sources with different data quality availability to provide a comprehensive view of our Payments product performance for internal stakeholders and customers. Your deliverables will include analysis, insights, and recommendations on product performance, impact of new releases, and support on new data architecture design. You will be a part of our Analytics team, responsible for driving insight into the performance of our digital gaming products.What You'll Do:Take ownership of the end-to-end delivery of Payments Analytics requests, including introducing and instilling data best practices, integrating new data sources, visualizing data, and presenting outputs.Actively provide feedback on product performance/functionality and make thoughtful recommendations on ways to improve Payments products and influence the roadmap.Collaborate with Payments leadership to clearly understand their major business problems and help resolve them using data & analytics.Develop and implement new KPIs for monitoring business & feature success.Contribute to requirements for data architecture to create a robust and long-term data solution based on reporting needs.Use data queries (SQL), statistical analysis (Python), and visualization (Tableau) to structure, analyze, and report on performance.Participate in projects outside the core area, connecting to new and unexplored datasets, based on the overall needs of the organization.What You'll Bring:Bachelor's Degree in Computer Science, Mathematics, or related field.Analytical experience with eCommerce products (e.G., wallets, payment providers, fraud prevention, etc.).Be a driven learner, capable of identifying your own areas of self-development and leveraging the team's expertise to build your analytical knowledge and skills.Have proven experience of understanding and solving business problems.Be an experienced communicator, able to communicate complex technical concepts to a non-technical audience.Proficient in Tableau, Power BI or other data visualization tools.Experience with SQL and relational databases.Data manipulation and analysis skills.Nice to have: Experience with Python and/or R; Experience in multi-channel analytics, connecting to a variety of data sources with different data quality availability
