In this role you will serve as a key member of the rapidly growing stable company. By providing analysis and reports to help the business make informed and timely decisions. This role will engage and collaborate with many areas of the business supporting both regular and ad-hoc financial, operational, and statistical analyses.


Required skills (knowledge):
– Bsc or Msc in Computer Science, Information Systems, or a related field is mandatory.
– At least 2 years of experience in data engineering, data architecture, or related fields is required.
– Strong proficiency in data management, ETL (Extract, Transform, Load) processes, database design, and data warehousing is required.
– Experience with data visualization and reporting tools, such as Tableau, Looker or Power BI.


– Analyze and evaluate affiliate data/games data to optimize partner performance.
– Review and approve affiliate deals, leveraging data insights to negotiate favorable terms and conditions.
– Perform project management duties, including planning, executing, and monitoring cross-functional projects related to data analytics, business intelligence, and operations.
– Develop, maintain, and improve data dashboards using Tableau, providing actionable insights and visibility into key performance metrics for decision-makers.
– Handle other important projects as assigned, applying data-driven methodologies and analytics expertise to drive business growth and operational excellence.


Soft skills:
– Analytical thinking: the ability to break down complex information and identify patterns and insights.
– Problem-solving: the ability to identify and solve problems efficiently and effectively.
– Communication: the ability to clearly articulate complex information to both technical and non-technical stakeholders.
– Adaptability: the ability to quickly adapt to changes in technology and business requirements.
– Collaboration: the ability to work effectively with cross-functional teams and stakeholders.
– Attention to detail: the ability to identify and correct errors in data and analysis.
– Time management: the ability to manage and prioritize multiple tasks and projects.
– Creativity: the ability to think outside the box and develop innovative solutions to problems.
– Continuous learning: the ability to stay up-to-date with emerging technologies and data analysis techniques.
– Presentation skills: the ability to present data insights in a compelling and understandable way.
– Conflict resolution: the ability to resolve conflicts and disputes between team members and stakeholders.