Senior/Staff Analytics Engineer - Monetization

#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors In the Analytics Engineering team at Nextdoor, we believe in the transformative power of information, bringing together data from a wide variety of sources and making it digestible and attainable by everyone in the company. We are a lean but powerful team with diverse backgrounds and perspectives, because that’s what we seek out and respect in others. We collaborate cross-functionally to make the numbers available and clear, playing a key role in the company’s overall effort to foster stronger and healthier communities. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make As an Analytics Engineer on the Monetization team here at Nextdoor, you’ll work to democratize data and reporting to drive strategy and measure performance against KPIs across the business. In this role, you will work with various Ads product stakeholders, build data pipelines, own and define metrics in collaboration with data scientists, and serve as a trusted resource for all data needs. You'll be responsible for understanding where our data comes from, transforming it, and making it ava ilable to stakeholders across the company via queries, tools, and dashboards. The ideal candidate is a tech-savvy, strong communicator who understands how to make data understandable by everyone.