We are looking for a Senior Data Analyst to join the Evolution RNG Division in Stockholm. This role will operate at divisional level and be responsible for shaping, delivering and governing key data capabilities that support decision-making, operational effectiveness and risk management across the RNG organisation.
The successful candidate will be a booster for teams across Commercial, Product, Fraud, Customer Support, Engineering and Operations. This person will be expected to bring structure, ownership and forward-looking thinking to critical data assets, reporting, monitoring routines and governance practices across RNG.
Key Responsibilities
Business Intelligence & Data Analytics
- Provide organisational support for RNG by handling ad-hoc data requests covering commercial performance, product data, fraud detection and Tier 2 customer support / operator issues.
- Lead the creation, maintenance and continuous improvement of Tableau dashboards used across RNG, including governance of user access, licences and permission levels.
- Contribute to the unification and maintenance of RNG data resources, supporting data governance standards, data consistency and effective usage across the organisation.
- Translate business needs into robust datasets, reporting solutions and practical governance improvements that reduce manual effort and improve decision quality across the RNG organisation.
- Drive data-related projects from concept through implementation, collaborating across functions to deliver measurable business value.
- Promote strong standards in data quality, documentation, governance and stakeholder communication across the RNG Division.
Fraud Monitoring
- Further develop fraud monitoring toolset and data framework across all RNG game providers.
- Drive the further advancement of fraud detection capabilities, ensuring that monitoring approaches remain effective as game complexity evolves.
- Work towards improving the scope, accuracy and effectiveness of the fraud detection toolset and related monitoring processes.
- Help improve monitoring practices, operational routines and data structures that enable earlier detection of anomalies, player exploits, defects and suspicious behaviour.