# Senior Manager - Analytics Engineering at Nextdoor

- Company: Nextdoor
- What the company does: Nextdoor is the neighborhood hub for trusted connections and the exchange of helpful information, goods, and services. Backed by Greylock, Insight and Kleiner Perkins.
- Company website: https://nextdoor.com/
- Type: Startups
- Level: Senior
- Location: US Remote
- Work setup: Remote
- Pay: $204K to $301K base salary per year (USD)
- Posted: 2026-04-17
- Apply by: 2026-10-12
- Apply: https://about.nextdoor.com/careers-list/?gh_jid=7572109
- Page: https://www.1752.vc/careers/jobs/nextdoor-senior-manager-analytics-engineering/

## About the role

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 .

## What they're looking for

- Develop and own the vision for Analytics Engineering, delivering curated datasets, dashboards, and internal data products. Define outcomes and communicate prioritization, progress, and impact to leadership
- Establish and enforce standards for metrics, data governance, documentation, and SLAs, overseeing data quality with proactive issue resolution through alerting and root-cause analysis
- Build, coach, and elevate a high-performing analytics engineering team, setting clear goals and fostering a culture of inclusion, learning, and operational excellence
- Collaborate closely with data science, finance, marketing, sales, product, and engineering to prioritize the analytics engineering roadmap and drive data-driven decision-making
- Scale data self-service and literacy by expanding documentation, training, and enablement in key tools and dashboards, empowering stakeholders to explore data independently
- Guide architectural and operational excellence across ETL/ELT pipelines, championing best practices in code review and version control for enhanced reliability

Tags: Data Science