Six Values

• Build and maintain a full view of the top-of-funnel acquisition funnel • Analyse performance across Meta, affiliates, SEO, and other channels • Ensure accurate tracking of campaigns (UTMs, gclid/fbclid) • Own and develop attribution models (starting with last-touch, evolving over time) • Work with BigQuery and internal data sources to combine marketing data with customer behaviour and revenue • Collaborate with BI/engineering to ensure clean, scalable data pipelines • Build and maintain dashboards (Tableau / similar) for CPA, ROAS, conversion rates

• Own and evolve the structure of the analytics data layer (tables, views, aggregates) • Ensure consistent definitions across key KPIs (GGR, NGR, deposits, bonus cost, player metrics) • Eliminate duplication of logic and conflicting calculations across tables and reports • Design and maintain scalable data structures to support analytics and reporting needs • Work with backend/data teams to define how new data should be ingested and structured • Ensure accuracy, completeness, and consistency of data across all reporting layers • Identify discrepancies across datasets and trace issues back to source, transformation, or logic • Design and implement structured QA and reconciliation processes • Reduce recurring issues by improving underlying data structure rather than patching outputs • Work with stored procedures and transformation logic to maintain and improve data pipelines • Optimise queries, aggregations, and table design for performance and scalability • Implement efficient data strategies (pre-aggregation, incremental logic, partitioning where applicable) • Ensure data is performant and usable across BI tools and analytics workflows • Act as the main point of contact for data issues between BI and backend/IT teams • Translate business/data issues into clear technical requirements • Drive resolution of issues end-to-end - from identification to validation • Communicate clearly when data issues impact reporting or decision-making • Document data structures, logic, and KPI definitions • Create clarity around how data is built and used across the business • Introduce repeatable processes to reduce manual work and firefighting • Support the analytics team with SQL-based analysis when needed

• Lead the entire product lifecycle for RMG features, combining strategic vision with hands-on daily execution and project tracking. • Evaluate, prioritize, and maintain a single, unified RMG product roadmap based on actual business value, ROI, and core KPIs. • Partner directly with commercial leaders (CRM, Marketing, Art, Legal) to gather needs, and actively write clear, highly detailed Product Requirements Documents (PRDs) and use cases. • Work hands-on with design teams for UI/UX mockups and collaborate daily with Platform Product Owners to groom backlogs and guide sprint execution. • Understand the complexities of a multi-tenant platform and assist in the hands-on coordination and configuration of feature rollouts across 15+ different brand front-ends. • Work strategically with engineering leadership to balance the delivery of new commercial features with the ongoing health of the platform.