• Apply quantitative methods and techniques to manage, analyze, and interpret research data. • Construct, clean, and document large datasets for both internal use and project-specific needs. • Create customized, presentation-quality reports based on data analysis results. • Contribute to the design and methodology of research studies. • Manage administrative components of projects to ensure smooth execution. • Assist in the preparation of technical procedures, documentation, and reports. • Write, compile, and edit assigned sections of proposals and project deliverables. • Review work products to ensure accuracy, clarity, and consistency of content.

• Lead the design and implementation of data and information architecture • Sustain & troubleshoot PowerBI dashboards • Collaborate with Customer Solutions teams • Investigate reporting issues • Monitor use of reports and dashboards

• Analyze scientific and operational data to support Data Surveillance process • Review project-specific Quality Tolerance Limits • Assist in developing Data Surveillance Plans (DSPs) • Conduct defined project reviews • Attend internal and external Data Surveillance meetings, presenting relevant findings to the project team • Support the development of a robust Data Surveillance Plan • Configure and maintain Data Surveillance technologies (e.g., CluePoints Central Monitoring Platform) • Review relevant data to support reviews per the project specific Data Surveillance Plan • Document findings from Data Surveillance activities • Provide feedback and collaborate with technology teams • Identify potential data quality trend, outliers and emergent issues • Participate in Investigator and other external/internal meetings and audits & regulatory inspections • Recognize impact of study non-compliance/issues/delays/data quality signals and communicate promptly

• Coletar, organizar e analisar grandes volumes de dados relacionados a marketing e vendas; • Desenvolver relatórios e dashboards que forneçam insights precisos e acionáveis para as equipes de marketing e vendas; • Manipular e interpretar dados para identificar tendências e padrões que possam impactar as estratégias de negócios; • Colaborar com equipes internas para entender suas necessidades de dados e fornecer soluções analíticas; • Fornecer suporte na definição de KPIs e métricas de desempenho relevantes para as áreas de marketing e vendas; • Executar análises estatísticas e criar modelos preditivos para prever comportamentos de clientes e padrões de vendas; • Assegurar a qualidade e a integridade dos dados por meio de validações e revisões regulares; • Comunicar resultados complexos de análises de forma clara e concisa para diferentes públicos dentro da organização.