Senior Analytics Engineering Manager

United States Digital Space LLC; San Francisco (CA); On-site; USD 150,000 - 180,000; Full time

Job summary

Deepstreamtech is seeking an experienced leader for the Analytics Engineering team. You will transform diverse data sources into actionable solutions, driving data-driven decision-making across the company.

Your role will involve building and coaching a high-performing team while developing data products and establishing metrics standards. The position offers the opportunity to make a significant impact and foster a collaborative company culture in San Francisco, California.

Qualifications

• 10+ years in analytics engineering, data engineering, or analytics.
• 3+ years of people leadership experience.
• Proven ability to define semantic layers and build scalable dashboards.
• Experience with ETL/ELT pipelines and strong data quality assurance.

Responsibilities

• Transform diverse data sources into solutions for business challenges.
• Develop and own the vision for Analytics Engineering and internal data products.
• Establish and enforce standards for metrics and data governance.
• Build and coach a high-performing analytics engineering team.

Skills

Hands-on SQL

Python

Data modeling expertise

People leadership

Building scalable dashboards

ETL/ELT pipelines

Communication with stakeholders

AI application

Tools

Looker

GitHub

Job description

Requirements

• 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)
• Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done
• 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
• (Desirable) Experience with consumer products, user-generated content, and ad-supported business models
• (Desirable) Proficiency with version‑controlled code (e.g., GitHub) and scripting in Python
• (Desirable) Experience with agile or kanban workflows

What the job involves

• 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