Senior/Staff Analytics Engineer - Monetization
NextdoorUS Remote$167k – $249kPosted 7 April 2026
Job Description
#Team Nextdoor
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 340,000 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 offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible 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 available 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.
You should be excited to bring your experience and expertise every day in order to:
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, marketing, sales, product, and engineering on analytics engineering strategy to enable data-driven decision making across the company
Set expectations and SLAs on data availability, and own communications around SLA performance to the business
Drive self-service and data literacy for business users on our data platform by creating and documenting data structures and sets, SQL and data tools training, and dashboard development
Care deeply about data quality and empowering employees to leverage data to help them succeed in their careers, and help Nextdoor grow and succeed
Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team-building exercises
Build in-person relationships with team members and contribute to Nextdoor’s company culture
What You’ll Bring To The Team
6+ years working in data engineering or analytics
Advanced knowledge of SQL, including writing and optimizing queries in multiple dialects
Experience working in the ads or monetization space
Experience with Looker (preferred) or another BI/visualization tool
Experience working with ETL/ELT pipelines
Strong communication skills, both written and verbal
Ability to understand, tackle, and solve problems from both technical and business perspectives
Experience in effectively presenting insights and summarizing complex data to diverse audiences through v ... (truncated, view full listing at source)
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