• Run ad hoc queries and answer questions submitted by customers and internal stakeholders. • Lead projects to produce new reports: Coordinate with stakeholders to define the need, iterate on the design, work with technical team to create underlying data pipelines. • Lead select analytics projects depending on team need – projects may include product analytics, clinical analytics or business analytics. • Troubleshoot issues with automated reports. • Contribute to team documentation. • React to stakeholders needs in a timely manner (typically within a day or sooner). • Recognize and troubleshoot reporting issues with urgency (also within a day). • Manage at least 1-2 longer term projects in addition to the daily stakeholder management and troubleshooting.

• Operate in a data analyst capacity and learn from senior members of the team • Filter and “clean” pricing and reference data by reviewing internal reports • Assist with normalizing, cleaning, enriching and mapping data to help maintain company’s reference database • Analyze and interpret large datasets to identify issues and recommend appropriate methods to resolve data integrity concerns • Identify patterns and outliers in large data sets to help continuously improve our product offerings • Produce data-driven data samples and reports for our clients • Liaise with internal groups to refresh and test data and platform features matters as necessary

• Analyze user behavior across key product funnels: registration, deposit, betting activity, withdrawals, bonuses, and retention. • Monitor key product KPIs such as conversion, retention, churn, LTV, session activity, user engagement, and revenue. • Prepare product and business reports to identify which features, mechanics, or user flows drive engagement and revenue. • Support and validate product hypotheses by collecting, analyzing, and interpreting data. • Analyze A/B tests and experiments, evaluate results, and provide clear conclusions and recommendations. • Segment users and analyze cohorts by behavior, value, lifecycle stage, activity level, VIP potential, or risk patterns to support product and CRM decisions. • Help investigate drops or anomalies in product and business metrics and identify possible reasons behind changes. • Work closely with Product, CRM, Marketing, Anti-Fraud, and other business teams to support data-driven decisions. • Prepare regular analytical summaries / presentations with key findings, performance results, and recommendations.

• Support the administration, execution, and analysis of employee listening initiatives, including engagement surveys, pulse surveys, lifecycle surveys, and ad hoc feedback efforts using platforms such as CultureAmp. • Analyze qualitative and quantitative employee feedback data to identify trends, themes, strengths, and opportunity areas across the employee experience. • Develop clear, compelling, and visually engaging presentations and reports that communicate findings, insights, and recommendations to stakeholders and senior leadership. • Partner with your People Team & Experience teammates and other stakeholders in our Shared Services organization to support the creation, tracking, and follow-through of action plans resulting from employee feedback and survey insights. • Maintain strong attention to detail while managing survey timelines, reporting deliverables, data accuracy, and documentation. • Support ongoing people strategy initiatives and special projects related to employee engagement, inclusion, culture, and the Employee Value Proposition. • Utilize tools such as Excel, PowerPoint, and ChatGPT to streamline workflows, strengthen analyses, improve presentation quality, and enhance team efficiency. • Collaborate cross-functionally with internal stakeholders while maintaining confidentiality and professionalism when handling sensitive employee feedback and data. • Stay informed on employee experience and Voice of the Employee best practices, bringing new ideas and continuous improvement recommendations to the team.