• Drive data-driven decisions to optimize our fraud prevention and risk management strategies • Lead complex investigations and develop innovative solutions to emerging threats • Shape responsible gaming initiatives through analytical insights • Partner with cross-functional teams to enhance payment processes and risk controls • Develop and maintain risk scoring models and rule sets • Analyze large datasets to identify fraud patterns and emerging threats • Design automated detection systems for suspicious activities • Generate actionable insights through advanced analytics • Build and optimize payment flows while minimizing risk exposure • Produce executive-level reporting on key risk metrics and trends

• Design, build, and maintain executive dashboards and reports using Power BI and Excel. • Extract, analyse, and interpret data from multiple sources to support strategic decision-making. • Produce monthly KPI, performance, and trend reports tailored for executive and board audiences. • Translate complex data into clear visualisations, insights, and narrative summaries. • Ensure consistency, accuracy, and integrity of data used in executive reporting. • Support quarterly planning cycles through data analysis, forecasts, and performance reporting. • Continuously improve reporting frameworks, metrics, and dashboards based on business needs. • Work closely with senior leadership and Board members to understand reporting requirements and priorities. • Prepare data-driven content for board packs and quarterly planning materials, ensuring clarity and relevance. • Coordinate inputs from multiple stakeholders to support timely and accurate executive reporting.

• Own core Payments KPIs and ensure metric consistency across teams (single source of truth). • Identify the biggest levers in deposit and withdrawal funnels and quantify their business impact. • Translate payment performance signals into clear priorities and recommendations. • Partner with Payments Product Managers to shape hypotheses, define success criteria, and select the right metrics and guardrails. • Run deep-dive analyses on approval rates, decline reasons, PSP performance, and payment method mix. • Evaluate trade-offs between conversion, revenue, and risk using data-backed narratives. • Analyze payment experiments and changes (A/B tests, phased rollouts, pre/post analysis). • Build reliable analytical datasets and marts using advanced SQL. • Deliver clear, decision-ready insights with expected impact — not just charts. • Lead Payments BI development in Tableau: dashboards, reporting layers, and definitions. • Enable self-service analytics for product and payments stakeholders. • Maintain data quality and trust in reporting. • Work closely with Payments, Product, Risk, and Operations teams. • Communicate complex findings in a simple, structured way — tailored to the audience. • Be the go-to analytics partner for payments-related questions and decisions.

• Analyze school system data and turn insights into clear, practical recommendations that help schools identify priorities, set goals, and improve student outcomes. • Use data findings to build and maintain low-code platforms (e.g., Power Platform, Qualtrics etc.) that display school system data and collect inputs from school system's progress and impact. • Create dashboards and tools that allow school systems to easily see their data in one place. • Build systems (such as forms, surveys, or applications) that automatically collect and organize data so schools and agency staff can quickly understand results and take action without needing technical expertise. • Analyze statutory data across multiple federal and state plans to identify overlaps and redundancies, and use data-driven insights to propose ways to unify plan requirements and eliminate duplication. • Build scoring tools and trackers (such as excel scorecards) that help review school system's applications, measure progress, and monitor results overtime.