Nextdoor Logo

Nextdoor

Senior Analytics Engineering Manager

Reposted 7 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in US
181K-277K Annually
Senior level
Remote
Hiring Remotely in US
181K-277K Annually
Senior level
The Senior Analytics Engineering Manager will oversee analytics engineering vision, manage a team, ensure data quality, and drive data-driven decisions across departments.
The summary above was generated by AI
#TeamNextdoor

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.

Meet Your Future Neighbors

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.

At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs.

We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London.

The Impact You’ll Make

As a Senior Analytics Engineering Manager, you will 

  • 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
What You’ll Bring To The Team
  • 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
Bonus Points
  • 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
Rewards

Compensation, benefits, perks, and recognition programs at Nextdoor come together to create our total rewards package. Compensation will vary depending on your relevant skills, experience, and qualifications.

The starting salary for this role is expected to range from $204,000 to $301,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. The salary range will be determined by the candidate’s geographic location.

We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date.

When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care.

At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.

For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here.

Similar Jobs

6 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
163K-281K Annually
Senior level
163K-281K Annually
Senior level
Fintech • Mobile • Software • Financial Services
Leads and develops a data engineering team supporting People Analytics and AI-assisted workforce analytics. Designs scalable data models, pipelines, semantic layers, testing frameworks, and governance practices. Remains hands-on with production code, reviews, and technical problem-solving while partnering with People Analytics, business, legal, and compliance stakeholders. Establishes engineering standards across Python, SQL, dbt, Airflow, Snowflake, CI/CD, data quality, observability, privacy, and security.
Top Skills: AirflowCi/CdDbtGitlabGoogle Cloud Platform (Gcp)LlmPythonRagRedshiftSnowflakeSnowflake Cortex AiSQLStreamlitWorkday
5 Days Ago
Remote
USA
Senior level
Senior level
Artificial Intelligence • Healthtech • Software • Telehealth
Leads and scales a global data engineering and analytics team while remaining hands-on with architecture, pipelines, data quality, dimensional modeling, dashboards, reporting, and customer-facing deliverables. Owns the analytical data platform supporting clinical, operational, product, financial, and customer data. Partners with cross-functional stakeholders, investigates complex data issues, improves platform reliability and security, and mentors engineers.
Top Skills: Amazon RedshiftAmazon S3Amazon SnsApache AirflowSparkAWSAws GlueAws LambdaDbtDocumentdbDynamoDBLookerMongoDBPysparkPythonSigmaSQLTerraform
12 Days Ago
Remote
United States
170K-220K Annually
Senior level
170K-220K Annually
Senior level
Healthtech
Owns the end-to-end architecture, development, infrastructure, data pipelines, and Power BI reporting platform supporting data governance, informatics, analytics, auditing, and data quality. Leads and mentors a data engineering team, defines schemas and engineering standards, ensures security and HIPAA compliance, oversees testing and Agile delivery, manages stakeholder requirements, and remains hands-on with backend technologies, data models, Power BI, and DAX.
Top Skills: AWSCi/CdDaxETLGitHipaaJavaJIRAPower BIPython

What you need to know about the Charlotte Tech Scene

Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.

Key Facts About Charlotte Tech

  • Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
  • Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
  • Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
  • Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account