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Senior Analytics Engineer

#TeamNextdoor

Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on.

Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 325,000 neighborhoods across 11 countries.

Meet Your Future Neighbors

In the Analytics Engineering team at Nextdoor, we believe in the transformative power of information, bringing together data from a wide variety of sources and making it digestible and attainable by everyone in the company. We are a lean but powerful team with diverse backgrounds and perspectives, because that’s what we seek out and respect in others. We collaborate cross-functionally to make the numbers available and clear, playing a key role in the company’s overall effort to foster stronger and healthier communities.

At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible experience for our valued employees.  

The Impact You’ll Make

As an Analytics Engineer at Nextdoor, you’ll work to democratize data and reporting to drive strategy and measure performance against KPIs across the business. In this role, you will work with various Ads/Revenue stakeholders building data pipelines, owning and defining metrics in collaboration with the data scientists, and be a trusted resource for all the data needs. You'll be responsible for understanding where our data comes from, transforming it, and making it available to stakeholders across the company via queries, tools, and dashboards. The ideal candidate is a tech-savvy strong communicator who understands how to make data understandable by everyone.

You should be excited to bring your experience and expertise every day in order to:

  • Own reporting tools, pipelines, and dashboards to ensure consistent availability and accuracy of mission-critical data
  • Partner with key stakeholders on KPI development and tracking across the revenue organization
  • Build datasets and reports that represent the source of truth for our key metrics
  • Keep data sources fresh even while requirements and definitions change. Address data quality issues and build in alerting
  • Partner with data science, finance & strategy, marketing, sales, product, and engineering on analytics engineering strategy to enable data-driven decision making across the company
  • Set expectations and SLAs on data availability, and own communications around SLA performance to the business
  • Drive self-service and data literacy for business users on our data platform by creating and documenting data structures and sets, SQL and data tools training, and dashboard development
  • Care deeply about data quality and empowering employees to leverage data to help them succeed in their careers and help Nextdoor grow and succeed

What You’ll Bring To The Team

  • 6+ years working in data engineering or analytics
  • Advanced knowledge of SQL, including writing and optimizing queries in multiple dialects
  • Experience with Looker (preferred) or another BI/visualization tool
  • Experience working with ETL/ELT pipelines
  • Strong communication skills both written and verbal
  • Ability to understand, tackle, and solve problems from both technical and business perspectives
  • Experience effectively presenting insights and summarizing complex data to diverse audiences through visualizations and other means
  • Demonstrated experience working with and delivering to cross-functional stakeholders from multiple parts of the company (Finance, Engineering, etc.)
  • Demonstrated experience driving projects end-to-end and can speak to outcome and impact

Rewards

Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package.

The starting salary for this role is expected to range from $160,000 - $175,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography.

We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date.

Overall, total compensation will vary depending on your relevant skills, experience, and qualifications.

We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and 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 seek to serve. We encourage everyone interested in our purpose 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.

#LI-Hybrid

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What You Should Know About Senior Analytics Engineer, Nextdoor

At Nextdoor, we're on a mission to cultivate a kinder world by connecting neighbors across 325,000 neighborhoods in 11 countries. As a Senior Analytics Engineer based in San Francisco, you'll join our Analytics Engineering team, a diverse group that believes in the transformative power of information. Here, you won't just be crunching numbers; you'll be making data digestible and actionable for everyone within the organization. Your core responsibility will be to democratize data, ensuring that stakeholders across various teams can access and understand critical performance metrics. You’ll collaborate with Ads/Revenue teams to build robust data pipelines, define and own metrics alongside data scientists, and support our overall strategy to foster stronger communities. Imagine playing a key role in the decision-making processes that drive our mission! You’ll have the chance to establish reporting tools, manage dashboards, and keep data sources fresh while addressing quality issues. Your communication skills will shine as you empower users to navigate our data platform efficiently. With a hybrid work culture that values your contributions, Nextdoor is the perfect place for someone eager to make an impact. If you have over six years in data engineering or analytics, advanced SQL skills, and experience with BI tools like Looker, we want you to join our team and help us drive data literacy throughout the organization!

Frequently Asked Questions (FAQs) for Senior Analytics Engineer Role at Nextdoor
What are the responsibilities of a Senior Analytics Engineer at Nextdoor?

As a Senior Analytics Engineer at Nextdoor, you will own and manage reporting tools, data pipelines, and dashboards, collaborating with Ads and Revenue stakeholders to develop and track key performance indicators (KPIs). Your role also involves transforming data for accessibility by various teams and ensuring the reliability and accuracy of mission-critical data.

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What qualifications are needed to become a Senior Analytics Engineer at Nextdoor?

To qualify for the Senior Analytics Engineer position at Nextdoor, you'll need at least six years of experience in data engineering or analytics, advanced SQL knowledge, and experience with BI tools such as Looker. Strong communication skills and the ability to present complex insights to diverse audiences are essential. Cross-functional collaboration is key in this role.

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How does Nextdoor support data-driven decision-making for the analytics team?

At Nextdoor, the analytics team plays a crucial role in data-driven decision-making by establishing a centralized source of truth for key metrics and performance indicators. By partnering with various departments like Finance, Engineering, and Marketing, the Senior Analytics Engineer ensures that data is accessible and actionable, empowering teams to make informed decisions that align with Nextdoor's mission.

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What tools and technologies will a Senior Analytics Engineer use at Nextdoor?

In the Senior Analytics Engineer role at Nextdoor, you will primarily use SQL for data management, along with BI visualization tools like Looker. You’ll also work with ETL/ELT pipelines to ensure data freshness. Developing dashboards and providing training on data tools will be part of your day-to-day activities.

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What is the work culture like for a Senior Analytics Engineer at Nextdoor?

Nextdoor fosters a warm, inclusive work environment that embraces hybrid employment, giving you flexibility in your work routine. The company values diverse perspectives and encourages collaboration within teams to create a culture where every employee can thrive and contribute to community growth.

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Common Interview Questions for Senior Analytics Engineer
How do you approach building data pipelines in your analytics work?

When building data pipelines, I start by understanding the data sources and defining the transformation requirements. I leverage ETL/ELT processes to streamline the pipeline creation, ensuring data quality. Communication with stakeholders is essential to align on KPIs and reporting needs, which I integrate into the pipeline design for robust and accurate outputs.

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Can you explain a complex analytical project you’ve managed?

I once managed a project where we integrated multiple data sources to create a comprehensive dashboard for revenue tracking. I coordinated with stakeholders from Finance and Marketing, defined metrics, and established reporting protocols. By presenting insights through visualizations, we identified key factors impacting revenue growth, ultimately leading to strategic adjustments.

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How do you ensure data quality in your projects?

To ensure data quality, I implement validation checks throughout the data pipeline and regularly audit the datasets. I encourage routine feedback from cross-functional teams to identify discrepancies. Additionally, I handle incoming change requests efficiently to maintain the accuracy and relevance of data in our analytics processes.

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Describe your experience with SQL and its usage in analytics.

I have extensive experience with SQL, writing complex queries to extract, transform, and analyze data. I focus on query optimization to enhance performance, and I am familiar with multiple SQL dialects. I use these skills to support stakeholders in querying data effectively, ensuring that the information is accessible and actionable.

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How would you approach training stakeholders on data tools?

When training stakeholders on data tools, I first assess their current skill levels to tailor my approach. I create easy-to-follow documentation, conduct hands-on workshops, and provide personalized support as needed. My goal is to empower users to independently explore the data platform, enhancing their confidence and data literacy.

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How do you stay updated on industry trends in analytics?

I stay updated by attending webinars, participating in industry conferences, and subscribing to relevant publications and blogs. Networking with peers in the analytics community also keeps me informed about emerging tools and techniques in data analysis, allowing me to apply innovative solutions in my projects.

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What strategies do you employ for effective data visualization?

For effective data visualization, I focus on clarity and relevance. I use visuals that directly convey the insights intended for the audience. Understanding the target audience’s needs allows me to adapt the presentation style, ensuring that complex data is accessible and encourages informed decision-making.

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Can you give an example of how you’ve collaborated with cross-functional teams?

I worked closely with both Finance and Engineering teams to develop a revenue forecasting model. By engaging with team leads from the start, we aligned on assumptions and data needs. This collaboration allowed us to create a model that reflected the requirements and realities of both departments, enhancing overall decision-making.

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What challenges have you faced in analytics projects and how did you overcome them?

One major challenge I faced was data integration from disparate systems, which often resulted in quality issues. To overcome this, I implemented stricter ETL processes and established better communication channels with data owners to ensure clarity on data definitions. This proactive approach improved data consistency and trust among stakeholders.

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How do you prioritize tasks in a fast-paced analytics environment?

In a fast-paced environment, I prioritize tasks by assessing their impact on business objectives and deadlines. I regularly communicate with stakeholders to understand their urgent needs. I also utilize project management tools to track progress, ensuring timely delivery without compromising on quality.

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Nextdoor is an American company based in San Francisco, California that offers a hyperlocal social networking service for neighborhoods. Today, neighbors rely on Nextdoor in more than 315,000 neighborhoods across 11 countries worldwide.

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CULTURE VALUES
Inclusive & Diverse
Rise from Within
Mission Driven
Diversity of Opinions
Work/Life Harmony
Social Impact Driven
Passion for Exploration
Reward & Recognition
BENEFITS & PERKS
Maternity Leave
Paternity Leave
401K Matching
Paid Holidays
Paid Sick Days
Paid Time-Off
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Resources
Life insurance
Disability Insurance
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Full-time, hybrid
DATE POSTED
January 13, 2025

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