• Responsable del análisis de datos de la compañía con fines estratégicos. • Elaboración de tableros de control y reportes interactivos en herramientas de visualización. • Mantener la curiosidad por el análisis de datos y profundizar en el descubrimiento, análisis y procesamiento de la información. • Realizar entregables limpios, garantizando atención al detalle. • Comprender modelos de datos y representarlos en la capa de visualización. • Demostrar competencias en visualización de datos, utilizando los gráficos adecuados según el contexto. • Realizar análisis exhaustivos sobre el negocio o los objetivos estratégicos de la organización. • Proporcionar resúmenes con conclusiones accionables, comprensibles para personas no técnicas. • Asumir todas las demás funciones que te asigne tu líder inmediato.

• Partner with Digital Customer Success, Strategy, Marketing, Product, and other Go-To-Market teammates to translate questions about customer health, satisfaction, and engagement into clear analytical requirements. • Design and build dashboards and reports that provide a single source of truth for case management, digital engagement, adoption, retention, conversion, and customer satisfaction metrics. • Explore and analyze data from sources such as customer success platforms, GitLab University, Salesforce, marketing automation tools, and web and product analytics to uncover trends, risks, and opportunities to improve customer outcomes. • Craft well-structured, maintainable visualizations in business intelligence tools that follow internal standards and make it easy for customer-facing teams to monitor performance and take action. • Partner with operational and data teams to define requirements for customer success and engagement data models, shaping how data is collected, structured, and made available for analysis. • Analyze one-to-many engagements and digital touchpoints, including webinars, workshops, emails, and in-app messaging, to understand effectiveness and recommend data-driven optimizations. • Use segmentation, cohort analysis, and experimentation techniques, such as A/B testing, to inform scaled engagement strategies and forecast the impact of digital programs. • Serve as a subject matter expert in customer success analytics by sharing best practices, documenting logic and methodologies, and providing guidance to help partners and other analysts use data to make better decisions.

• Lead customer analytics projects end to end, from scoping to delivery. • Join and drive client meetings, translating needs into clear solutions. • Manage internal projects and coordinate cross‑functional teams. • Support presales: proposals, SOWs, and POCs. • Oversee and develop the Brazil-based team. • Ensure projects are on time, on budget, and high impact. • Bring a strategic, innovation-focused view to data initiatives.

• Analyze partner traffic, user behavior, payments, and promo campaign performance; • Build and automate reporting in Tableau, SQL, and Google Sheets — from daily dashboards to monthly summaries; • Work with data from multiple sources, validate and clean it, and prepare it for analysis; • Help affiliate and brand teams find answers: which sources perform best, what needs fixing, which creatives convert; • Monitor data quality, identify anomalies and inconsistencies, and ensure metric accuracy across reports; • Participate in hypothesis testing and suggest improvements across traffic, bonuses, and partner engagement; • Translate complex data into clear visuals and actionable recommendations for different stakeholders.