N
Nextdoor
Senior Analytics Engineering Manager
Skills
SQL QueriesLookerData EngineeringPythonData ScienceGitData AnalysisAIGitHubKanbanPerformance Management
2 months ago
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Important information
Contract type:
Permanent
Salary:
$181,000 – $277,000 / year
Location:
United States
Work mode:
Onsite
Published on:
22 August 2026
What they need
- The Analytics Engineering team at Nextdoor transforms diverse data sources into solutions for business challenges
- As a lean yet impactful team, we cover the entirety of the Nextdoor business and excel in cross-functional collaboration to empower company-wide data-driven decision-making
- By amplifying the voices of our platform’s users, we play a pivotal role in building stronger, healthier communities
- We’re at an exciting transition, evolving from a traditional Business Intelligence focus to a broader mandate that includes strengthening data foundations and developing data products, such as analytics self-serve, for all Nextdoor data consumers
- 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
- Cultivate a proactive data product builder culture within the team, shifting from a service-oriented approach to identifying needs, recognizing patterns, and implementing solutions in phases
- 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
Benefits
- Monthly wellness stipend
- 12 weeks of parental, family or medical leave
- Global end of year shutdown
- Learning and development stipend
- Work from home opportunities
- Health insurance- 10+ years in analytics engineering, data engineering, or analytics, with strong hands‑on SQL, Python, and data modeling expertise
- Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done
- Track record of driving projects end‑to‑end and demonstrating clear outcomes and impact
- Experience building and operating ETL/ELT pipelines with robust validation and monitoring; high bar for data quality
- It’s ok if you don’t have all of these requirements; if you think you’d be a good fit for the role, please apply
- Proven ability to define semantic layers and build scalable dashboards; experience with Looker (preferred) or other BI/visualization tools, including in tool selection, setup and governance
- 3+ years of people leadership experience, including hiring, coaching, and performance management in analytics/data teams
- Appetite for applying AI and emerging tools to increase productivity and reimagine how AE teams deliver impact (without sacrificing rigor and decision quality)
- Excellent communication; proven success partnering with cross‑functional stakeholders (Finance, Product, Engineering, etc.) to define KPIs and deliver measurable outcomes
- Proficiency with version‑controlled code (e.g., GitHub) and scripting in Python
- Experience with consumer products, user-generated content, and ad-supported business models
- Experience with agile or kanban workflows
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