The Role
As a Senior Data Analyst, you will leverage advanced data analytics to bridge executive vision with technical implementation, mentor team members, and develop data models to inform business decisions.
Summary Generated by Built In
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 Senior Data Analyst, you are an independent driver and architect, entrusted with solving Neighbor’s most ambitious, complex, and ambiguous problems. You will leverage advanced data analytics to not only execute the data strategy, but also anticipate the challenges that lie ahead. You will bridge the gap between executive vision and technical implementation, pioneering robust data models and pipelines while steering executive-level data strategy and fundamentally shaping the company's data-driven business decisions with your insights.
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
- Mentor junior team members and empower non-technical stakeholders to make autonomous, data-informed decisions through world-class BI tooling
- Move beyond "what happened" to "what will happen." 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
- Bachelor's degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics, Computer Science, Engineering, etc.) OR 7 years working experience in data analytics
- 5+ years of prior experience as a Data Analyst
- 3+ years of experience solving complex, ambiguous problems independently and presenting results to stakeholders
- 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
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!
Top Skills
Data Lakes
Data Warehouses
Elt
ETL
Predictive Modeling
Reporting Software
SQL
Visualization Software
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The Company
What We Do
Neighbor is a peer-to-peer storage company that connects people with unused space to people in need of storage.
Through Neighbor, homeowners turn their garages, basements, RV pads, etc. into extra monthly income and renters are given a flexible and affordable storage alternative. Demand for self storage has never been higher in the USA and supply is limited, which means high prices and inflexible contract agreements.
