• Optimize sales processes as part of the consulting product team • Responsible for implementing all sales-relevant KPIs for the product team • Create data products such as dashboards and analyses • Prepare complex sales and product insights for executive management • Contribute to core data analytics projects

• Lead sessions with organizations to set shared understanding of goals. • Research and identify relevant data available for investigation and analysis. • Navigate between technical, programmatic, and executive conversations while maintaining a focus on organizational outcomes and user needs. • Recommend key performance indicators for priority goals. • Design dashboards, visualizations, and reports to interpret indicators and generate insight. • Assist with setting technical specifications for data integration and analysis operations. • Ensure privacy and security policies and procedures are rigorously followed.

• Run geospatial workflows and data pipelines to generate certification reports and validate outputs • Process satellite imagery and geospatial datasets to produce required deliverables • Ensure accuracy, consistency, and quality of data outputs supporting certification • Collaborate closely with the Forest Engineer to align outputs with scientific and methodological requirements • Identify opportunities to improve and automate existing geospatial workflows • Contribute to the maintenance and evolution of the data infrastructure • Support the scalability and reliability of data processing pipelines • Document workflows, processes, and technical decisions to enable knowledge sharing

• Own end-to-end data projects in a fast-paced environment — from scoping and modeling to delivery and stakeholder adoption. • Experience working in a product-driven environment, partnering directly with product managers and engineering teams to influence product decisions — strongly preferred. • Develop AI-powered tools and automations that streamline data extraction, transformation, and reporting — reducing manual effort and enabling self-service analytics. • Monitor key metrics for anomalies and data quality issues, investigate root causes, and implement fixes in models or dashboards. • Build and maintain scalable dashboards, reports, and data models that power the FMX product experience and surface KPIs to leadership and stakeholders. • Apply a product-minded lens to analytics: surface trends, deliver data-driven recommendations, and influence product and business decisions. • Partner with product, finance, compliance, and engineering to keep BI tools accurate, relevant, and aligned with evolving needs. • Communicate findings to PMs, developers, and other stakeholders through clear reports and presentations. • Support data governance through metadata management, validation, reconciliation, and clear documentation.