Role Description The Senior Data Analyst will have a critical role in empowering customers and internal stakeholders to make data-driven decisions by generating data solutions (dashboards, reports, etc.) that lead to actionable insights. The role involves working collaboratively across many teams, including customer success, product, and engineering. This position would be an excellent fit for someone passionate about using data to empower decision-making. We are looking for someone comfortable telling stories with data, has strong technical skills, a high degree of attention to detail, and a willingness to roll up their sleeves to get things done to support stakeholders and customers. Responsibilities: - Partner with internal and external stakeholders to identify business challenges and develop analytical solutions to drive decision making - Lead and interpret data and communicate findings through effective storytelling - Contribute to the development of reusable data assets - Define, document and maintain key business metrics and reporting standards - Troubleshoot issues with existing and new data products and integrations - Mentor peers on both technical and non-technical aspects of analytical work - Create and maintain documentation for dashboards, data models, reporting assets and analytical processes - Communicate complex analytical findings into clear recommendations for technical and non-technical audiences - Support continuous improvement initiatives across the organization - Other duties as assigned Qualifications - Bachelor’s degree in a quantitative field (statistics, computer science, etc.) - 4+ years of experience in data analytics, business intelligence or related field - 2+ years experience presenting findings and analytical recommendations to stakeholders - Fluent in SQL and strong working knowledge of relational databases - Experience with at least one data visualization tool (Sigma, Tableau, Looker, etc.) - Strong working knowledge of at least one programming language (Python, R, etc.) - Comfortable presenting analyses to both internal and external stakeholders - Able to understand, communicate, and work effectively and respectfully across demographic, socioeconomic, language, and all other cultural identifiers of communities - Experience in healthcare, population health, social services, or community-based care environments preferred. Requirements - Experience with DBT and other data-related technologies (Airflow, Airbyte, etc.) - Interest in developing, evaluating, and deploying predictive models - Experience working with healthcare, population health, social determinants of health (SDOH), care management, claims or clinical datasets. Diversity & Inclusion At Activate Care, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, military, and veteran status, and any other characteristic protected by applicable law. Activate Care believes that diversity and inclusion among our teammates is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. The organization is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process. If you require an accommodation to participate in the interview process, please let our team know at the time of scheduling. The Company will not sponsor applicants for work visas at this time.

• Extraer, transformar, limpiar y validar datos provenientes de múltiples fuentes internas y externas. • Detectar patrones, tendencias y oportunidades de mejora que apoyen a la estrategia del negocio. • Comunicar hallazgos de manera efectiva a las áreas de negocio, permitiendo que los datos se traduzcan en decisiones informadas. • Asegurar la calidad, consistencia y confiabilidad de los datos, garantizando que los resultados analíticos sean precisos. • Documentación de procesos. • Consultas de datos. • Trabajar en conjunto con los equipos de Datos, IT, BI para generar la coherencia en el uso de la información. • Colaborar con áreas de analítica avanzada e inteligencia de negocio para garantizar input de calidad de los datos.

• Build, monitor and enhance strategic KPIs and data products for B2B Commercial Planning, automating reports via GCP, Looker Studio and Slack to support executive decision-making • Extract, clean and analyze large volumes of data (using SQL on GCP), structure diagnostics and develop self-service solutions (BI and generative AI), and act as the focal point for validations with the tech team • Lead complex studies to validate hypotheses, measure pilot initiatives and identify business opportunities with deep analytical rigor • Create predictive and trend analyses, and design and implement short- and medium-term action plans to drive results and ensure operational excellence • Translate complex data insights into concise presentations for different audiences, leading forums with the Commercial team.

• Work closely with Owlchemy Leadership to understand available data, suggest improvements and develop approaches for collecting, analyzing and automating data to inform decision making across technical and business needs • Develop and own data pipelines, models, tools, and processes to ensure accurate data collection and analysis • Develop and own product dashboards that serve as the central point of truth for Leadership, Product Development, and Marketing • Collaborate with stakeholders to provide recommendations for utilizing quantitative and qualitative metrics and key performance indicators to drive technical and business outcomes across business, marketing, financial and development needs • Drive discovery of trends in play patterns that help inspire the development of new or improved features and content for our games • Partner with marketing and sales to drive ongoing performance analyses of our projects in development, at launch, and beyond • Support our “Project-Role Framework” methodology with well-designed and comprehensive analyses at all stages of the product lifecycle • Use industry best practices to document analysis through different formats including basic data visualization such as graphs, tables, and PowerPoint slides to help communicate the findings • Be involved in building automated dashboards and reports to facilitate understanding of business KPIs and player experience • Stay current with Unity and VR industry trends, development practices, and help ensure distribution of that knowledge throughout the team • Stay current with global data compliance regulations ensuring data integrity