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We are a pioneering company in the gaming, betting, fintech, and software solutions industry. Our cross-functional teams create innovative online gaming platforms and sports and fintech betting solutions that reach hundreds of thousands of users daily. Our mission is to drive business growth through data-driven decision making.
Job SummaryWe are seeking a highly skilled Data Analyst to join our Payments team. The successful candidate will provide critical insights and analysis to inform our Payments product strategies and drive business growth.
Key Responsibilities- 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 and 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 and analytics.
- Develop and implement new KPIs for monitoring business and feature success.
- Contribute to requirements for data architecture to create a robust and long-term data solution based on the 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.
- 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 then 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.
- Private life and health insurance for you and your family.
- Four weeks per year to work from anywhere for eligible employees.
- Gym reimbursement.
- Company bus lines for convenient transportation applicable for employees in Malaga.
- Relocation package for you and your family, including soft-landing package services to help you settle in (applicable for relocation to Malaga, if you are moving from a different city/country).
- Learning Pocket for personal development.
- A hybrid working model with flexible hours.
- Three volunteering paid days each year.
- Generous referral programme.
- Workplace perks such as gaming room with darts, pool, ping pong table, foosball, consoles, and much more.
