• You’ll collaborate and partner with executives, stakeholders, and decision-makers to prioritize, design, and fulfill their data analytics needs for both technical and non-technical audiences. • You’ll transform concepts and shape data into a compelling story mapped to business goals and outcomes. • You'll work closely with our Data Science and Data Engineering teams to collaborate on the requirements for our Data Platform that enables analytics throughout Fastly. • You’ll promote and drive a self-service data culture by building dbt models, tools for managing data and self-service dashboards that will enable stakeholders to understand and delve into data for trends and actionable insights. • You’ll manage the lifecycle of your data projects, from planning through execution and delivery, communicating progress and risks along the way.

Analista de Segurança da Informação – SOC Você é apaixonado(a) por tecnologia, inovação e quer fazer parte de um ambiente inclusivo, colaborativo e em constante evolução? Então essa oportunidade é para você! Na Capgemini, valorizamos o equilíbrio entre vida pessoal e profissional. Por isso, oferecemos modelos de trabalho flexíveis. Nosso objetivo é proporcionar a melhor experiência para você, respeitando seu estilo de vida e promovendo bem-estar. Requisitos técnicos - Conhecimento sólido em Segurança da Informação (SOC, SIEM, incidentes, riscos e compliance). - Experiência com Inteligência Artificial, Machine Learning e/ou IA Generativa. - Conhecimentos em NLP aplicados à análise de logs, alertas e relatórios. - Programação, preferencialmente em Python. - Experiência com integrações via APIs e automação de processos. - Capacidade de documentar arquiteturas e soluções técnicas. Perfil esperado - Visão sistêmica e analítica de Segurança da Informação. - Capacidade de transformar necessidades de negócio em soluções técnicas. - Mentalidade de automação e melhoria contínua. Make it real Na Capgemini, liberamos a energia humana por meio da tecnologia para construir um futuro mais inclusivo, sustentável e inovador. Se você compartilha desses valores, venha transformar o mundo com a gente!

• Own the end-to-end lifecycle of GTM dashboards from development to iteration, adoption, and ongoing support • Build and maintain dashboards that help Sales reps identify where and how to generate pipeline within their accounts • Revamp product and account-level dashboards to surface high-signal insights (e.g., expansion opportunities, product adoption gaps, self-service to sales-led conversion signals) • Translate product usage and account data into clear, actionable insights that reps can use for prospecting and account planning • Write complex SQL across Salesforce, Snowflake, and other GTM data sources, combining and transforming data into clean, reliable datasets that power dashboards and drive Sales decisions • Act as the primary point of contact for Sales analytics, answering questions, troubleshooting issues, and refining dashboards based on real user feedback • Partner directly with Sales reps and leaders to understand workflows and ensure dashboards align with how the field operates • Continuously improve dashboards to make them more intuitive, actionable, and embedded into the Sales process • Ensure consistency and accuracy of key metrics in partnership with RevOps and Finance

• Lead data mining and collection procedures; maintain governance with data architecture and business intelligence teams • Ensure data quality and integrity • Interpret and analyze data problems; translate into meaningful information and visualizations to executive leadership, market leaders and other department heads • Conceive of, develop, plan and prioritize data projects in partnership with CX leadership • Build analytic systems and predictive models to support ongoing and future data needs • Test and evaluate performance of recommended solutions, quantify outcomes and manage tuning cycle for ongoing improvement to systems and models • Experiment with new models and techniques to ensure our solutions grow with us • Align all data projects with organization goals • Build relationships with managers and leaders to size analytical opportunities and create delivery plans to ensure we are positioned to support quality business cases and deliver ROI • Facilitate analytical conversations with the business around “the art of the possible using data science”, explore data from a modelling perspective, and perform initial exploratory data analysis to assess business value • Ensure model implementations conform to regulatory requirements and produce clear documentation to support • Manage analytical projects and coordinate activities with other shared service partners by prioritizing relevant activities and providing subject matter expertise • Undertake personal development to ensure up to date skills and knowledge