• Define and execute the BI strategy • Partner with senior stakeholders across various departments • Define and operationalize enterprise KPIs and executive-level dashboards • Oversee the evolution of our modern cloud data stack • Unify enterprise data models across the organization • Maintain ownership of data cataloging, quality, and governance standards • Establish rigorous data quality, observability, and reliability standards • Own vendor relationships and the BI budget • Oversee and ensure timely delivery of month-end data • Champion the use of AI and advanced analytics • Lead the transition to modern BI tools • Lead organizational change management and data literacy initiatives • Lead and mentor a global team of engineer and analyst professionals

• Work in partnership with the Director of Customer Success/Analytics to build, maintain, and improve reporting, dashboards, and data tools supporting client merchandising programs • Manage and maintain core data assets, including active field rep rosters, store master lists, and program location data, ensuring accuracy, completeness, and consistent structure across systems • Build and refresh field coverage and proximity analyses that inform staffing plans, travel classifications, and client program feasibility • Support capacity planning and labor estimating, including rep-hours modeling for new and existing retail programs • Manage recurring data refreshes and reporting cadences for active client programs, including execution, audit, and compliance reporting • Develop and maintain Airtable bases, interfaces, and automations that support field operations and program management workflows • Extract, clean, and transform data from Salesforce and other source systems to support analysis and reporting • Collaborate cross-functionally with program managers, account teams, Information Services (IS), and field leadership to identify data needs and resolve data quality issues • Establish and track KPIs that benchmark program performance and measure the impact of operational decisions • Structure large data sets, create clear visualizations, and translate findings into actionable recommendations for internal stakeholders and clients • Document data processes, definitions, and methodologies to build repeatable, scalable reporting practices

• Teach core data analysis and statistical analysis techniques • Build skills in data visualization and business intelligence • Help clients apply data-driven decision making to real business problems • Guide clients through market research and competitive analysis • Offer resume review, LinkedIn review, and cover letter guidance • Provide interview prep and networking strategy tailored to analytics and BI roles • Support those pursuing freelancing opportunities in the space

• Build dashboards, reports, and analyses according to business needs, applying solid Data Storytelling principles and data visualization best practices; • Collaborate with internal teams to implement Business Intelligence solutions that support data-driven decision making; • Ensure peak performance by optimizing complex SQL queries that support reports, using AI in the validation process; • Lead the migration and decommissioning of legacy dataviz tools, centralizing and migrating visualizations to our official platform (Databricks); • Develop, implement, and disseminate standards, governance processes, audit and certification procedures for the company's official reports, ensuring a monitored and reliable environment; • Work directly with the embedded reporting ecosystem, ensuring that data views integrated into the company portal perform excellently for our clients; • Perform cross-data analyses to generate insights and recommendations for continuous improvement using analytical and automation tools; • Collaborate with Data teams (Engineering and Architecture) to continuously improve the architecture, modeling, and governance of the data that feed the BI; • Conduct discovery sessions with business areas to map needs, translate requirements, and rigorously document business rules; • Maintain ongoing relationships with teams across Caju to keep all stakeholders informed, acting with strong technical leadership and self-management.