Senior Data Analyst

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.

• 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.
• 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.

• Several years of experience in data analytics, business intelligence, analytics engineering or a comparable senior data role (required).
• Strong SQL capability and proven experience building analytical datasets, reporting layers and decision-support solutions (required).
• Demonstrated experience working with BI tools such as Tableau, Power BI, Superset or similar platforms, including ownership of reporting assets and user enablement (required).
• Ability to operate credibly with senior stakeholders and to balance hands-on delivery with broader ownership and prioritisation (required).
• Experience working with data governance, data quality improvement and cross-functional collaboration in complex environments (required).
• Strong analytical thinking, attention to detail and an ability to work effectively in ambiguous or evolving problem spaces (required).
• Excellent communication skills in English, both written and spoken, with the ability to explain complex findings clearly to technical and non-technical audiences (required).
• A proactive, structured and outcome-focused mindset with the ability to independently drive work forward (required).
• Experience with AWS technologies such as Athena (nice-to-have).
• Experience with data management, data catalogues or operational data tools such as no-code database platforms (nice-to-have).
• Exposure to fraud analytics, anomaly detection, game monitoring or risk-related analytical domains (nice-to-have).
• Experience with Python or other scripting languages for automation and advanced analysis (nice-to-have).
• Experience with version control and development best practices such as Git and CI/CD workflows (nice-to-have).
• Background in gaming, iGaming or other digitally native, data-rich environments (nice-to-have).

• Competitive pension
• Health and medical insurance
• 30 paid vacation days
• Fitness benefit (Friskvårdsbidrag)
• Professional growth
• Sport activities, parties, team buildings