Define the KPIs, metrics, and analytical frameworks that underpin our CRM platform’s reporting and intelligence capabilities.
Work closely with Product and Engineering to shape what data gets captured, how it is structured, and how it surfaces to end users.
Build and maintain dashboards, reports, and self-serve analytical tools that operators can act on directly.
Identify gaps in current data coverage and lead initiatives to close them.
Partner with operators to understand their retention and engagement challenges, and translate those into data-driven recommendations.
Develop scalable insight frameworks - benchmarks, cohort analyses, segment performance models - that can be applied across multiple operators simultaneously.
Produce regular insight packages that help operators understand player behaviour, campaign effectiveness, and growth opportunities.
Identify cross-operator patterns and trends that can inform product development and best practice guides.
Analyse campaign performance across the full lifecycle: targeting, delivery, engagement, conversion, and retention impact.
Define and evolve segmentation logic, player scoring models, and lifecycle stage definitions.
Establish A/B testing standards and support teams in designing, running, and interpreting experiments.
Build predictive indicators for churn, reactivation potential, and player value to support proactive campaign strategies.
Act as the analytical authority in cross-functional discussions with Product, Commercial, and Customer Success teams.
Present findings and recommendations clearly to both technical and non-technical audiences, including operator-side stakeholders.
Contribute to roadmap planning by surfacing data-backed opportunities and gaps.
