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Data Analyst

🇺🇸 United States - Remote
📊 Data🔵 Mid-level

Job Description

At Neighbor, our vision is to bring communities together by solving our neighbors’ biggest challenges.We’re building the largest hyperlocal marketplace the world has seen. We’ve raised over $75 million from top-tier investors such as Andreessen Horowitz and the creators of DoorDash, Airbnb, and Uber. Our marketplace is already flourishing in all 50 states and we’re just getting started!

As a Data Analyst, you will be a key supporter of the Data & Analytics team, assisting with projects to solve business problems. You will develop your skills in data analysis by supporting the execution of the team’s data strategy. You will work closely with other data analysts and data engineers to clean, structure, and organize data, assisting in the development and maintenance of data models and pipelines to support the company’s data-driven decision-making.

Primary Responsibilities

  • Help build a world-class Data & Analytics team focused on data integrity, business intelligence, data-driven decisions, testing, accountability and research
  • Lead the design and implementation of our data modeling layers (Data Lakes/Warehouses), ensuring a “single source of truth” for a complex, two-sided marketplace
  • Beyond SQL, you will build and maintain robust ETL/ELT pipelines and deploy predictive models to forecast and automate insights
  • Move beyond “what happened” to “what will happen” and develop statistical frameworks to test hypotheses and measure the impact of new product features
  • Act as the primary data partner for Product, Marketing, Sales, Engineering, Finance, and Customer Success leadership
  • Become an expert on all aspects of Neighbor’s product, user, marketing and other data

Qualifications

  • 3+ years of prior experience as a Data Analyst
  • Bachelor’s degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics, Computer Science, Engineering, etc.) OR 5 years working experience in data analytics in lieu of a technical Bachelors degree
  • Experience with ETL such as data manipulation, organization and cleaning
  • Experience modeling data lakes or data warehouses
  • Experience with predictive modeling
  • Advanced proficiency in reporting and visualization software
  • Experience using mathematical, scientific and statistical techniques to analyze data
  • Proven track record of using quantitative analysis to solve problems, and drive key business decisions
  • Exceptional communication skills for effective cross-functional collaboration, with both technical and non-technical stakeholders

Benefits

  • Generous Stock options
  • Medical, dental, and vision insurance
  • Generous PTO
  • 11 paid company holidays
  • Hybrid work model - WFH every Monday
  • 401(k) plan
  • Infant care leave
  • On-site gym/showers open 247

About Neighbor:

Neighbor is the largest and most comprehensive marketplace for self storage and parking, with listings in almost every U.S. city. From storage facilities to neighborhood garages, driveways, and RV spots, Neighbor brings every option together in one simple search. Come help us disrupt the $500 billion storage and parking industry! This is a unique opportunity to join a fast-growing, VC-backed tech startup. You will be part of a an extremely talented, hardworking and passionate team committed to changing the world one neighbor at a time.

Neighbor is an equal opportunity employer and is committed to providing a positive interview experience for every candidate. If accommodations due to a disability or medical condition are needed, connect with us via email at [email protected]. Check out our careers page to get to know us better as you think about your next step at Neighbor!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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