• Partner closely with two core product squads and their product managers to understand goals, define success metrics, and translate product ideas into concrete analytical plans. • Design and execute experiments on new and existing features, including scoping test populations, determining rollout strategies, and monitoring “do no harm” tests where sample sizes are smaller. • Write high-quality, efficient SQL (primarily in Snowflake via Hex) to investigate product questions, build custom analyses, and create clear, reusable queries that power reporting and decision-making. • Define tracking requirements for new features and collaborate with engineers and designers to ensure the right data is captured from day one, enabling robust analysis over the lifecycle of a feature. • Analyze experiment and feature performance data, synthesize findings into clear narratives, and make concrete, data-backed recommendations to product managers and business stakeholders (including when to roll back changes). • Collaborate closely with the analytics team (including your manager and peer analysts) for code reviews, feedback, and shared best practices, while independently driving your own roadmap and owning outcomes in your domain.

• Structure, analyze, and interpret large volumes of data, turning them into business insights. • Build and maintain interactive dashboards using tools such as Power BI, Amazon QuickSight, Google Data Studio/Analytics, and Kibana. • Support business teams in defining metrics, performance indicators (KPIs), and ad hoc analyses. • Automate reports and analysis processes using Python or R. • Identify opportunities to improve processes, pricing models, and logistics performance. • Collaborate with multidisciplinary teams (Engineering, Product, Logistics, and Commercial) to guide data-driven decisions.

• Estruturar, analisar e interpretar grandes volumes de dados, transformando-os em insights de negócio. • Construir e manter dashboards interativos em ferramentas como Power BI, Amazon QuickSight, Google Data Studio/Analytics e Kibana. • Apoiar as áreas de negócio na definição de métricas, indicadores de performance (KPIs) e análises ad hoc. • Automatizar relatórios e processos de análise utilizando Python ou R. Identificar oportunidades de melhoria em processos, modelos de pricing e performance logística. • Colaborar com equipes multidisciplinares (Engenharia, Produto, Logística e Comercial) para orientar decisões baseadas em dados.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Geospatial Analyst Intern, you will leverage cutting-edge GIS tools to acquire, manage, and analyze spatial data that drives informed decision-making across the organization. - Create high-quality cartographic maps - Develop interactive dashboards - Deliver compelling data visualizations for strategic projects - Collaborate with cross-functional teams - Apply geospatial intelligence to solve operational challenges - Contribute to innovative solutions that enhance efficiency and sustainability Qualifications - Currently enrolled in a program related to Geospatial/GIS, Computer Science, or Geography - Familiarity with spatial data formats and geospatial analysis techniques - Coursework or projects demonstrating GIS proficiency Requirements - Hands-on experience with Esri tools (ArcGIS Pro, ArcGIS Online) - Strong analytical and problem-solving skills with attention to detail - Excellent communication skills for presenting technical concepts clearly - Ability to manage multiple projects and meet deadlines Benefits - Impactful Work: Contribute to projects that matter - Mentorship: Regular check-ins and guidance from experienced leaders - Professional Development: Bi-weekly lunch & learn and networking opportunities - Career Growth: Build a foundation for future opportunities at Asplundh