Role Description As an Information & Organization Analyst within Fanatics Betting & Gaming, you will analyze large and complex datasets, develop statistical and analytical models, and deliver data-driven insights to support pricing strategy, risk analysis, and operational decision-making within a high-volume digital marketplace. You will work across trading, product, and engineering functions to evaluate system performance, develop analytical frameworks, and support scalable, data-driven decision systems. Key Responsibilities - Apply mathematical, statistical, and probabilistic techniques to develop and maintain pricing and decision models across multiple soccer competitions. - Extract, clean, and transform large datasets from internal and third-party sources to support analysis and modeling. - Analyze market, transactional, and behavioral data to identify trends, inefficiencies, and opportunities for optimization. - Perform exploratory data analysis to identify patterns, anomalies, and performance drivers. - Develop and maintain data queries, dashboards, and visualizations to monitor performance and inform decision-making. - Monitor and analyze real-time data flows and system outputs, ensuring accuracy, consistency, and reliability. - Analyze and model risk exposure and system performance using quantitative techniques. - Produce and present analytical reports, dashboards, and insights to stakeholders to support strategic and operational decision-making. - Collaborate with engineering and quantitative teams to design, test, and refine analytical models and data systems. - Evaluate third-party data sources, ensuring data quality, integrity, and reliability. - Identify and implement process improvements to enhance efficiency, scalability, and organizational effectiveness. - Support the development of analytical capability within the team, including mentoring junior staff. - Work cross-functionally to translate analytical findings into practical recommendations that improve systems and user experience. Qualifications - Experience applying statistical or quantitative analysis in a commercial or operational environment. - Strong ability to interpret complex datasets and translate findings into actionable insights. - Experience working with data systems, models, or analytical tools in a fast-paced environment. - Experience with tools such as SQL, Python, R, or data visualization platforms (e.g. Tableau, Power BI). - Understanding of risk analysis, optimization, and performance measurement techniques. - Ability to evaluate data quality, system performance, and external data sources. - Strong communication skills, with the ability to present analytical insights to non-technical stakeholders. - Experience contributing to process improvement or organizational efficiency initiatives. - Ability to work collaboratively across technical and business teams. Company Description Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. - Fanatics has an established database of over 100 million global sports fans. - A global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences, and retail partners. - 2,500 athletes and celebrities, and 200 exclusive athletes. - Over 2,000 retail locations, including its Lids retail stores. - More than 22,000 employees committed to enhancing the fan experience and delighting sports fans globally.

• Perform research and evaluation tasks in a web-based environment, including verifying and comparing data and assessing the relevance and accuracy of information. • Contribute to a project focused on improving the content and quality of digital maps used by millions of people worldwide.

Role Description Projeto de inovação do INSTITUTO ITAÚ DE CIÊNCIA, TECNOLOGIA E INOVAÇÃO em parceria com o Inova Talentos. - Condução do mapeamento da estrutura de dados da Central de Riscos (DOCs 3040, 3044 e 3050), incluindo análise de metadados públicos do Bacen e bases internas (AWS). - Realização de entrevistas com stakeholders de Finanças e áreas de negócio para identificação de dores, riscos, oportunidades e casos de uso prioritários. - Execução de estudos exploratórios utilizando técnicas de análise de dados, IA e Machine Learning para avaliação de novas validações e insights de negócio. - Desenvolvimento de protótipos em ambiente de teste, como dashboards de monitoramento, scripts automatizados de validação e reconciliação (Python/Spark) e modelos de IA/ML. - Estruturação do plano de roll‑out para ambiente produtivo, incluindo cronograma, responsáveis e estratégia de comunicação. Qualifications - Formação: Mestre; - Cursos: Mestrado em áreas de Engenharia, Ciência de Dados, Estatística, Economia, Tecnologia da Informação. Requirements - Manipulação e análise de dados. - Experiência em AWS, ou plataformas equivalentes. - Capacidade de aplicar técnicas de inteligência artificial / machine learning, como detecção de anomalias, modelos preditivos, segmentação/clusterização. Benefits - Disponibilidade: 40h semanais; - Duração: 12 meses; - Bolsa Auxílio: R$ 9.000,00; - Atuação: Home office. Company Description Conheça o INOVA TALENTOS - Vídeo 1 - Vídeo 2

• act as a partner within the Marketing Analytics team delivering knowledge of marketing activity performance • reporting on performance • supporting the creation of actional insights • enabling analytics self-service for the marketing team • develop dynamic reports and dashboards that will serve as the backbone for marketing enabling data-driven decision across the team • supports advanced analytics functions such as developing nuanced forecasts with multiple data inputs