Pay
$94.7K–$144K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,811 postings in the last year. Stated ranges, not salaries paid.
Data Solutions Analyst
New York, New York, United States
Actively hiring, first seen by us 8 days ago- Pay
- Pay not listedSimilar roles state $95K–$144K
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingApply commercial real estate knowledge to train, launch and maintain VTS's AI tooling
Support QA and migration of client dashboards to a new data warehouse
Build, maintain and troubleshoot Looker dashboards for clients
Work with product, engineering and client teams to resolve data quality issues
From the employer’s posting
Apply commercial real estate knowledge to assist in training, launching, and maintaining VTS's AI tooling.
Support the QA and migration of client-facing BI dashboards to a new data warehouse.
Build, maintain, and troubleshoot dashboards in Looker to help deliver insights to clients.
Partner with product, engineering and client-facing teams to resolve data quality issues.
What you’ll bring
All qualificationsCore experience
- 3–4 years of experience in commercial real estate, including analyzing CRE data
- Experience with a BI/visualization tool such as Looker
- Track record of meticulous, structured QA or data-quality work
- Strong communication across technical and client-facing audiences
Qualification wording
3–4 years of experience in commercial real estate, including analyzing CRE data.
Experience with a BI/visualization tool such as Looker.
A track record of meticulous, structured QA or data-quality work.
Strong communication skills across technical and client-facing audiences.
About VTS
VTS is the only AI-driven technology platform enabling intelligent real estate by unifying industry professionals, investors, and their customers at scale.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 28, 20268 days ago
- Recorded sightings
- 8
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 8
Similar jobs usually come down between day 5 and day 41.
From 10,933 similar postings that came down. Coming down is not always a hire.
VTS is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- dbt
- Looker
Where the posting names them
- Comfortable working in technical tooling and picking up new domains quickly. - Nice to have: LookML, dbt, or data warehouse experience; prior AI/LLM QA exposure; familiarity with lease or CRE contract structures. What VTS Values & How We Show It
- Support the QA and migration of client-facing BI dashboards to a new data warehouse. - Build, maintain, and troubleshoot dashboards in Looker to help deliver insights to clients. - Partner with product, engineering and client-facing teams to resolve data quality issues.
- 3–4 years of experience in commercial real estate, including analyzing CRE data. - Experience with a BI/visualization tool such as Looker. - A track record of meticulous, structured QA or data-quality work.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
About VTS
- People
- About 37 in 2025, up 12% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as VTS.
Demand for Analyst roles
New Analyst postings at the employers we follow are up 19% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Job description
In this role, the Analyst will join the Data Solutions team, serving as a domain-expert QA layer between VTS's AI engineering initiatives and its client-facing analytics. The Analyst will apply commercial real estate knowledge to help ensure the data our AI systems learn from, and the dashboards our clients rely on, are accurate and trustworthy.
** 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:
- Apply commercial real estate knowledge to assist in training, launching, and maintaining VTS's AI tooling.
- Support the QA and migration of client-facing BI dashboards to a new data warehouse.
- Build, maintain, and troubleshoot dashboards in Looker to help deliver insights to clients.
- Partner with product, engineering and client-facing teams to resolve data quality issues.
- Develop deep domain expertise across VTS's AI tooling, data, and client dashboards.
What makes this job awesome:
- Working at the intersection of AI, data, and commercial real estate.
- Direct exposure to VTS's most strategic AI initiatives and client-facing dashboards.
- Real ownership over the accuracy of what ships to clients and how our models perform.
- Room to grow as VTS's AI and analytics footprint scales.
What makes you a great fit?
- 3–4 years of experience in commercial real estate, including analyzing CRE data.
- Experience with a BI/visualization tool such as Looker.
- A track record of meticulous, structured QA or data-quality work.
- Strong communication skills across technical and client-facing audiences.
- Comfortable working in technical tooling and picking up new domains quickly.
- Nice to have: LookML, dbt, or data warehouse experience; prior AI/LLM QA exposure; familiarity with lease or CRE contract structures.
What VTS Values & How We Show It
- Strive for Excellence - We know your potential is unlimited. Take advantage of our executive coaches and our training and career development programs available to all employees!
- Be Customer Obsessed - We’re employee obsessed too! VTS offers competitive compensation, comprehensive health benefits (including dental and vision), pre-tax commuter benefits, and a 401(k) plan. Not to mention the fun stuff - quarterly happy hours, wellness events, clubs, and team lunches!
- Be Curious - Benefit from a culture that promotes new learning. VTS offers an education stipend to all employees!
- Move as One - We work in an open floor plan to promote cross-functional collaboration.
- Take Ownership - Be an owner of the company you’re building with our equity packages.
- Appreciate the Difference - VTS embraces and celebrates diversity. We understand the importance of a strong work-life balance. We offer a flexible PTO policy, generous family leave program, and more!
ABOUT VTS
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.com
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- Pay
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- Location & working pattern
New York, New York, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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