• Translate full-funnel data into actionable insights and compelling narratives that guide marketing strategy and identify optimization opportunities • Build and manage dashboards to monitor marketing campaign and channel performance across the full funnel, from awareness through conversion • Design and execute incrementality tests to evaluate the effectiveness of campaigns, channels, and messaging • Partner closely with marketing teams to set campaign objectives, define KPIs, and report on performance • Architect end-to-end measurement solutions that ensure accurate tracking of audience segmentation, campaign effectiveness, and overall marketing ROI

• Analyze IVR and caller behavior data to identify trends, patterns, and improvement opportunities • Develop and maintain reports and dashboards that track IVR performance and customer experience metrics • Use SQL and Excel to extract, clean, and analyze data from IVR and call center systems • Design and build custom Tableau reports for business and technical stakeholders • Collaborate with Product Owners, Engineers, and business teams to define analytics requirements • Provide data-driven insights to support IVR design, optimization, and operational decisions • Support ongoing measurement of IVR effectiveness and customer journey outcomes • Present findings clearly to both technical and non-technical audiences

• 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.