• Design, build, and maintain Sigma dashboards that visualize AI and interaction performance across client accounts • Lead standardization efforts — developing reusable dashboard templates and a consistent KPI framework • Analyze AI agent performance data with a focus on call containment rates • Develop and deliver weekly performance scorecards and support quarterly business reviews • Partner with Customer Success Managers to prepare and present data-driven insights during client reviews

• Assist in the design, development, and testing of RIViR software features • Conduct research, prepares reports, and provides analytical support as needed • Support daily project related functions, including feature assessment, checking in code, unit testing software components, and making software fixes • Collaborate with team members on various tasks and contribute to team meetings • Participate in departmental activities and provides input on ongoing projects • Attend training sessions, workshops, or seminars to gain industry knowledge and develop relevant skills • Seek feedback and mentorship from supervisors and colleagues to improve performance • Investigate new engineering and analytical techniques to strengthen RIViR product features • Apply creativity and innovative thinking to solve challenging technical and process related product capabilities

• Brand Performance & Optimization: Evaluate and manage the performance of multiple gaming brands, identifying opportunities to drive growth, improve operational efficiency, and enhance overall business results. • Data-Driven Insights: Utilize data analytics to uncover trends, challenges, and opportunities, providing actionable recommendations to inform brand and business strategies. • KPI Monitoring: Design and maintain dashboards and reports using tools like Tableau or Looker to track key performance metrics across the business, ensuring data-driven decision-making. • Best Practices & Knowledge Sharing: Develop and implement best practices and common procedures for the commercial team, ensuring consistency and fostering a culture of collaboration and shared learning. • Strategic Collaboration: Partner with marketing, product, and operations teams to align brand strategies with overall company objectives, ensuring a cohesive approach to business goals. • Stakeholder Engagement: Present insights, strategies, and updates to senior leadership, fostering alignment and driving informed decision-making. • Advanced Analytics Development: Champion the integration of cutting-edge analytical techniques, including exploring innovative technologies and methodologies, to continually refine and enhance business performance.

• Conduct deep-dive KPI investigations (churn, LTV, retention), recommending smarter budget allocation via SQL and advanced analytics • Lead and mentor 3-5 Brand Analysts, developing them from reporters into strategic P&L owners • Maintain holistic oversight of Acquisition, CRM, and Fraud/Risk ecosystem impacts • Bridge Business and Data Science teams, guiding ML features for churn/LTV/propensity models • Standardize analytical best practices for consistent, high-level strategic output • Act as brand health gatekeeper, ensuring balanced growth across all KPIs