Data Solutions Analyst
Required skills
- AI tooling
- client-facing analytics
- data quality
- BI dashboards
- data warehouse
- Looker
- commercial real estate
Nice to have
- LookML
- dbt
- data warehouse experience
- AI/LLM QA
- lease structures
- CRE contract structures
Role summary
VTS is seeking a Data Solutions Analyst in New York, NY, to join their Data Solutions team. This role serves as a domain-expert QA layer for AI engineering initiatives and client-facing analytics, applying commercial real estate knowledge to ensure data accuracy and trustworthiness. Responsibilities include assisting in training and maintaining AI tooling, supporting BI dashboard migration, building and troubleshooting dashboards in Looker, and partnering with teams to resolve data quality issues. The ideal candidate has 3-4 years of experience in commercial real estate data analysis and experience with BI tools like Looker, with a strong track record in QA or data quality work.
** Please note that this opportunity is located in New York, NY, and requires this hire to work from our office 4 days a week. **
What you can expect as a Data Solutions Analyst:
What makes this job awesome:
What makes you a great fit?
What VTS Values & How We Show It
VTS is the only AI-driven technology platform enabling intelligent real estate by unifying industry professionals, investors, and their customers at scale. In 2013, VTS revolutionized commercial real estate leasing operations with what is now VTS Lease. Today, VTS AI is the largest first-party insights and collaboration engine in the industry, transforming how strategic decisions are made and executed by the real estate industry globally.With the VTS Platform, consisting of VTS Lease, VTS Market, VTS Activate, and VTS Data, every stakeholder in real estate is given real-time market information and workflow tools to do their job with unparalleled speed and intelligence. VTS is the global leader, with more than 60% of Class A office space in the U.S., and 13 billion square feet of office, residential, retail, and industrial space is managed through the platform worldwide. VTS is utilized by over 45,000 professionals and over 1.2 million total users each day, including industry-leading customers such as Blackstone, Brookfield Properties, LaSalle Investment Management, Hines, BXP, Oxford Properties, JLL, and CBRE. VTS maintains offices in New York City, London, Toronto, Chicago.
To learn more about VTS and view our open roles, visit us at vts.com or follow us on Instagram (@WeAreVTS) or LinkedIn.
Pay Transparency
At VTS, we pride ourselves on articulating a clear and transparent philosophy around equitable, impartial compensation that will allow us to recruit and retain an exceptional team. The base salary is market-driven at the time of offer and is based on tier 1 market data. The salary for this role will range between $110,000 and $125,000 and is determined by several factors, including your skills, prior relevant experience, quality of interviews, leveling, and geography.
EEO Guidelines VTS embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be. All your information will be kept confidential according to EEO guidelines. For more information about what we collect and how we use it, please refer to the Candidate Privacy Statement. If you have a disability or special need that requires accommodation at any time during the recruitment process, please let us know at ta@vts.comPrivacy Policy
Similar roles
- Senior Content Marketing ManagerVTS · New York, NY · Onsite
- Product Marketing ManagerVTS · New York, NY · Onsite
- BUSINESS INTELLIGENCE & DATA SOLUTIONS ANALYST - CAPE COD MACape & Coast Bank · Hyannis, MA · Hybrid
Senior Data Solutions Analyst: FinanceLiberty Mutual Insurance · Boston, MA · Hybrid
Operations Continuous Improvement - Data Solutions AnalystGolden 1 Credit Union · Sacramento, CA · Hybrid
Technical Solutions AnalystZayo Group · Remote · Remote
