Senior/Staff Analytics Engineer - Monetization

Nextdoor is the essential neighborhood network that connects neighbors, public agencies, and businesses around local information. The Analytics Engineer on the Monetization team will work to democratize data and reporting, driving strategy and measuring performance against KPIs across the business by building data pipelines and collaborating with various stakeholders.

Responsibilities:

• 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

Requirements:

• 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 visualizations and other means
• Demonstrated experience working with and delivering to cross-functional stakeholders from multiple parts of the company (Sales, Engineering, Data Science, etc.)
• Demonstrated experience driving projects end-to-end and can speak to outcome and impact
• Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done