• Support SQL-based data processes, including writing and modifying intermediate-level SQL queries • Support the senior SQL DBA with routine data operations, job monitoring, and database process improvements • Analyze current and potential disparate data sources • Review and suggest refinements to proposed database modifications • Assist in monitoring and maintaining SSIS packages; troubleshoot and escalate failures or performance issues • Develop, maintain, and optimize automated workflows using Microsoft Power Automate Flows • Use Microsoft Copilot to streamline documentation, automate repetitive tasks, and enhance analytics workflows • Learn and apply Power BI to create, modify, and maintain dashboards and reports (Power BI experience preferred but not required) • Maintain Measures and Metrics reports to assure the continued accuracy and performance • Validate data accuracy and participate in routine data quality checks • Work with the Measures and Metrics team to create and further define projects and tasks from verbal customer cues and requests • Support all phases of solution deployment activities in Power BI or other accepted reporting/data visualization tools • Assist with the extraction of metrics requirements and assignments for proposed or impending initiatives • Assist with documenting processes, data flows, automations, and reporting procedures • Contribute to meeting notes, agendas, and metrics documentation as needed • Collaborate with the Measures & Metrics team on metric definitions, reporting updates, and automation opportunities • Contribute to or write portions of Measures and Metrics documentation • Support quality and process improvement methodologies to develop and continuously update team and program processes, documentation and artifact templates • Possible work in assisting with the design, creation and maintenance SharePoint sites, pages, lists, and libraries.

• 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.