• Analyze player behaviour and product changes across the entire lifecycle (onboarding, retention, monetization, progression, LiveOps, and game economy health). • Run deep-dive funnel, cohort, and segmentation analyses to identify friction points, drop-offs, and player spending patterns. • Translate ambiguous product questions into structured analyses, clear findings, and actionable recommendations. • Work hands-on with our AWS-based analytics stack (S3, Athena, DBT, Prefect) to create, maintain, and optimize robust ETL pipelines. • Write cost- and performance-aware SQL to build analytical views that make core datasets accessible to the wider team. • Proactively QA data pipelines and telemetry, identifying broken tracking, inconsistent definitions, or anomalies in event volume. • Partner with Product, Engineering, and Design to architect tracking plans and define data telemetry before new features launch. • Support the end-to-end design, success metric definition, and post-analysis of A/B tests and feature experiments. • Leverage modern AI development tools to accelerate your SQL/Python scripting, workflow automation, and documentation. • Build reusable notebooks, scripts, and analytical workflows to scale insights across our small, remote-first studio.

• Extract employee and organizational data from the Insperity HR platform. • Pull, analyze, and reconcile Excel reports from multiple data sources. • Review historical employee data to identify inconsistencies, duplicate records, missing information, and inaccuracies. • Perform data cleanup activities following established business rules and project guidelines. • Research, validate, organize, and maintain employee data. • Prepare clean, accurate datasets for migration into a new HRIS platform. • Create and maintain Excel files used for data transformation, validation, and import activities. • Support data validation and quality assurance throughout the HRIS implementation. • Document completed work and escalate discrepancies or data quality issues as needed. • Collaborate with project team members while consistently delivering accurate, high-quality work. • Assist with data validation, testing, and post-go-live support as project needs evolve.

• Developing and maintaining Power BI dashboards • Enabling standardized financial reporting • Translating complex financial and operational data into clear, decision-ready insights • Supporting ongoing reporting needs • Contributing to the design and implementation of scalable data models • Prioritizing enhancements within an Agile framework to ensure delivery of high-impact analytics solutions

• Análisis de datos y identificación de tendencias: Recopilar y analizar datos de clientes para identificar tendencias de actividad, desarrollar análisis de causa raíz para anomalías de datos y documentar los límites de actividad recomendados. • Diseño de soluciones y desarrollo de programas: Proporcionar apoyo como experto en el diseño de soluciones y el desarrollo de programas, trabajando en estrecha colaboración con el equipo de ventas y los equipos de implementación para apoyar la implementación de nuevos contratos. • Supervisión financiera y de facturación: Revisar facturas por precisión, coordinar la facturación de excesos del programa y gestionar de cerca la integridad financiera de cada acuerdo. • Informes y gestión de oportunidades: Crear y mantener informes de panel mensual para las cuentas del Programa de Servicios Gestionados y gestionar los informes de oportunidades en Salesforce. • Mejora de procesos: Identificar lagunas en el programa e impulsar mejoras de procesos continuas en todo el ecosistema del servicio gestionado.