• Create and maintain JavaScript code • Manipulate data using SQL • Build dashboards using Looker Studio or Power BI • Prepare work reports and presentations • Participate in or lead team, company, or client meetings • Website tagging and validation of Performance Media tags • Collect and visualize KPIs • Extract and manipulate data in BigQuery • Create and maintain dashboards in Looker Studio or other data visualization platforms • Support tag management and documentation • Support administration and maintenance of Google Analytics 4 and Google Tag Manager • Perform various data analyses to uncover business-relevant insights • Present results to clients

• Desenvolver e implementar soluções de Business Intelligence (BI) utilizando Power BI, com ênfase em DAX e boas práticas em modelo schema. • Realizar consultas avançadas e otimizações em bancos de dados utilizando SQL. • Contribuir com a integração de dados e análises em ambientes de Databricks. • Colaborar com equipes ágeis, utilizando Jira para o gerenciamento de tarefas. • Traduzir requisitos de negócio em soluções técnicas claras. • Organizar documentações e processos para promover transparência e eficiência nas operações de BI. • Criar protótipos e designs de dashboards e relatórios efetivos utilizando Figma.

• Architect and maintain high-fidelity, scalable data models that serve as the foundational truth for both enterprise business intelligence and GenAI applications. • Partner with data engineering, product and business partner teams to define, design, analyze, and report on key drivers that impact performance across the organization. • Identify and communicate the business relevance of data from across the organization, leveraging analytical rigor to establish reliable sources of truth and ensure that business context is accurately captured across all data products. • Partner with the larger Data organization to design easy-to-use, end-to-end enterprise data systems that keep Mission Lane at the forefront of data -based decision-making. • Own the development of self-serve analytics and strategic data products that look beyond the immediate stakeholder requests to proactively reduce manual effort, mitigate technical debt, and accelerate speed to insight. • Define and champion technical standards for analytics engineering to elevate the quality, reliability, and impact of work produced by the broader analytics team.

• Primary author and owner of DTAs — drafting, negotiating, and maintaining data-sharing agreements with clients and partners. • Lead systematic gap analysis between multiple systems to drive data quality and integration decisions. • Serve as a direct client-facing data resource — translating business needs into data solutions and communicating findings clearly to non-technical stakeholders. • Produce clear, accurate written deliverables (reports, documentation, DTA summaries) and lead stakeholder presentations and data reviews. • Own complex SQL queries, data modeling, and analytical reporting across Snowflake and connected data warehouse environments. • Conduct structured gap analyses between source and target data environments, translating complex data findings into actionable insights for both technical and executive audiences.