• Actuar como el "Científico de Datos" que audita el comportamiento del Googlebot segundo a segundo. • Transformar los logs del servidor y los datos de indexación en insights accionables.

• Design, develop, and maintain Power BI dashboards and data models supporting business functions • Partner with business stakeholders to gather requirements, define KPIs, and translate them into actionable reporting solutions • Ensure data accuracy and consistency by validating source data, monitoring report outputs, and documenting assumptions and definitions • Collaborate with Data Engineering to define analytical requirements and contribute to the design of optimized data models and transformation logic • Support self-service BI users through communications, collateral, and training materials • Document KPI definitions, data lineage, and reporting assumptions to support consistency and self-service analytics • Identify opportunities to automate manual reporting processes and improve refresh reliability

• Lead high-value analytics initiatives by identifying opportunities to improve business outcomes and aligning cross-functional teams on shared goals • Standardize analytics tools and processes across product lines to improve scalability and consistency • Prioritize and advocate for analytics work that aligns with strategic company objectives • Communicate clearly and regularly with stakeholders to ensure alignment and transparency in analyst-driven work • Cultivate a culture of innovation, curiosity, and initiative within the analytics team • Mentor and support the career growth of your direct reports through regular feedback and coaching • Assess team performance with structured, twice-a-year progress reviews • Identify skills gaps or resourcing needs and escalate proactively • Champion analytics best practices and provide thought leadership across the organization • Establish rigorous testing, validation, and data quality processes • Oversee the development of metrics, dashboards, reports, and visualizations that drive business decisions • Iterate and embrace continuous improvement in analytics methodologies • Define and maintain data governance policies to ensure compliance and data integrity

• Coletar, processar e carregar dados de fontes diversas • Realizar levantamento de requisitos junto aos stakeholders • Desenvolver integrações entre diferentes plataformas • Criar e aprimorar plataformas de Business Intelligence • Assegurar a qualidade das entregas por meio de revisões rigorosas