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Senior Analytics Engineering Manager

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Onsite

Senior Analytics Engineering Manager

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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