San Francisco, CA Remote (Country) Full-time $175,000 - $180,000/year

Nextdoor is hiring an Analytics Engineer 4

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 350,000 neighborhoods across 11 countries. Meet your Future Neighbors As an Analytics Engineer 4 with Nextdoor, Inc. (San Francisco, CA) (May telecommute from any U.S. location) you’ll: Apply mathematical or statistical theory and methods to design, create, and select the appropriate samples of data that will allow the data science team to conduct probabilistic experiments and statistical analyses Design software systems and processes to gather data in the most efficient way and determine key data points needed in order to interpret experiment results and ensure results are properly tracked Interpret data and report conclusions drawn from their analyses Work with cross-functional teams, including product, design, engineering, marketing, operations, and sales, to determine which data analyses will lead to the most actionable insights Build data pipelines to create and transform data for analysis of different product features Clean and summarize data to make it accessible for reporting and for data science Combine data from multiple sources to make and distribute client reports in order to see how particular ad products are performing Analyze expected vs actual delivery of ad products in order to find and improve gaps in our delivery pipeline What You’ll Bring to The House Master’s degree or foreign equivalent in Mathematics, Statistics, Business Analytics, or closely related quantitative field. Three (3) years of years of experience in the role or in a related position. Full term of experience must include the following: Utilizing Data Analysis tools, such as Databricks or Snowflake, to support and improve business; Utilizing Python and Structured Query Language (SQL) programming languages to conduct large scale data analyses; Utilizing data processing languages, including, Airflow or Alteryx, to build big data pipelines to extract and transform data; Utilizing Tableau or Looker to generate reports and build dashboards and analyze data and create data insights; Utilizing advanced MS Excel Functions, including VBA coding, Pivot Tables, and Power Point, to present project reports and recommendations to leadership teams; and Utilizing data analysis skills to collect large data sets to uncover and visualize hidden insights in core data.
Job Details
Location San Francisco, CA
Work mode Remote (Country)
Employment Full-time
Salary $175,000 - $180,000/year
Posted 2 hours ago
About company
Nextdoor

Nextdoor is the essential neighborhood network for 110 million verified neighbors across 350,000 neighborhoods, offering trusted local news, real-time safety alerts, neighbor recommendations, for sale and free listings, and local events. Nextdoor connects neighbors to the people, places, and information that matter most in their local communities. In addition, local businesses, news publishers, and public agencies use Nextdoor to share important information and engage with neighbors at scale.

Our mission is to activate the power of local. Our purpose is to make every neighborhood feel like home. We do this by connecting neighbors to the local gems around them – people, places, and information. These local connections improve our lives by fostering a sense of community and belonging no matter where we live.

Nextdoor is the place for what’s happening in your neighborhood. Trusted, timely, useful information that helps you stay in the know and share what you know about your neighborhood. From local news and safety alerts to recommendations and community events, Nextdoor brings neighbors together around shared interests and real-life moments.

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