• Extract, transform, and integrate financial and operational data from multiple sources • Deliver end-to-end analytics and reporting solutions, including KPI definition, backend data preparation, and visualization dashboards • Design, build, and maintain automated and reusable data pipelines to support analytics and reporting • Write and optimize complex SQL queries to support analytical use cases • Use data preparation and automation tools (e.g., Alteryx) to streamline transformations • Work with enterprise data platforms including Microsoft Fabric, Azure, and Snowflake • Collaborate with business and functional stakeholders to understand reporting needs and translate them into data solutions • Apply financial and business context to ensure analytics outputs are accurate, consistent, and meaningful • Communicate insights, trends, and drivers clearly through dashboards and stakeholder discussions

• Own reporting tools, pipelines, and dashboards to ensure consistent availability and accuracy of mission-critical data • Partner with key stakeholders on KPI development and tracking across the Consumer organization • Build datasets and reports that represent the source of truth for our key metrics • Keep data sources fresh even while requirements and definitions change • Address data quality issues and build in alerting • Partner with data science, finance & strategy, and other departments to enable data-driven decision making across the company • Set expectations and SLAs on data availability • Drive self-service and data literacy for business users on our data platform • Participate in in-person Nextdoor events such as trainings and team building exercises • Build in-person relationships with team members and contribute to Nextdoor’s company culture

• Help shape the future of Technology by joining an innovative team • Configure Einstein Conversation Insights within Salesforce • Integrate ECI with Microsoft Teams • Build dashboards using CRM Analytics • Collaborate in a remote work team environment

• Develop and maintain foundational data models that serve as the single source of truth for analytics across the organization • Empower stakeholders by translating business requirements into scalable data models, dashboards, and tools • Partner with engineering, data science, product, and business teams to ensure alignment on priorities and data solutions • Build frameworks, tools, and workflows that maximize efficiency for data users while maintaining high standards of data quality and performance • Use modern development and analytics tools to deliver value quickly, while ensuring long-term maintainability