Note: The job is a remote job and is open to candidates in USA. Nextdoor is a neighborhood network that connects neighbors, public agencies, and businesses through local information and community technology. The Senior Analytics Engineering Manager will lead the analytics engineering function, establish data governance and quality standards, and deliver curated datasets, dashboards, and internal data products. The role also involves managing and developing the team, partnering cross-functionally, and expanding data self-service and data-driven decision-making.
Responsibilities
- 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
Skills
- 10+ years in analytics engineering, data engineering, or analytics, with strong hands‑on SQL, Python, and data modeling expertise
- 3+ years of people leadership experience, including hiring, coaching, and performance management in analytics/data teams
- 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
- Experience building and operating ETL/ELT pipelines with robust validation and monitoring; high bar for data quality
- Excellent communication; proven success partnering with cross‑functional stakeholders (Finance, Product, Engineering, etc.) to define KPIs and deliver measurable outcomes
- Track record of driving projects end‑to‑end and demonstrating clear outcomes and impact
- Appetite for applying AI and emerging tools to increase productivity and reimagine how AE teams deliver impact (without sacrificing rigor and decision 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
- Experience with consumer products, user-generated content, and ad-supported business models
- Proficiency with version‑controlled code (e.g., GitHub) and scripting in Python
- Experience with agile or kanban workflows
Benefits
- Hybrid employment model, blending an in office presence and work from home experience for valued employees.
- A meaningful equity grant for this role, with quarterly vesting; the first vest date will take place within 3 months of the start date.
- A variety of health plans, including a 100% covered employee only plan option.
- OneMedical membership for concierge care.
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