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Data Solutions Analyst

Join VTS as a Data Solutions Analyst to ensure the accuracy of AI-driven analytics in commercial real estate.

Location
New York, New York, United States
Compensation
$110k–$125k/yr
Level
mid
Type
full time · On-site

Posted by employer 5 days ago

First seen on Joblaze 4 days ago

Last verified on the company career page 3 hours ago

Apply at VTS → Save job Scanned from vts.com

Skills & Technologies

Looker Flexible on stack

What you'll build

  • Support the QA and migration of client-facing BI dashboards
  • Build, maintain, and troubleshoot dashboards in Looker
  • 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

Must have

  • 3–4 years of experience in commercial real estate
  • 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

Nice to have

  • LookML experience
  • dbt experience
  • data warehouse experience
  • prior AI/LLM QA exposure
  • familiarity with lease or CRE contract structures

Practical constraints

  • Requires this hire to work from our office 4 days a week

AI in the day-to-day

The Analyst will assist in training, launching, and maintaining VTS's AI tooling.

Requirements

Experience
3–4 years

Not disclosed in this posting: visa sponsorship.

Benefits

401k Match Education Budget Flexible PTO Equity/Stock Options Health Insurance Parental Leave

Joblaze summary

The Data Solutions Analyst at VTS plays a crucial role in ensuring the accuracy and reliability of data used in AI initiatives and client-facing analytics. This position requires expertise in commercial real estate and proficiency with BI tools like Looker, along with a strong focus on quality assurance and data integrity. Ideal candidates will have several years of experience in the commercial real estate sector and the ability to communicate effectively with both technical and client-facing teams. VTS's collaborative environment offers opportunities for growth as the company expands its AI and analytics capabilities.

Joblaze insights

  • Listed 4 days ago — first seen on Joblaze October 29, 2026. Last confirmed on VTS's careers page November 2, 2026.
  • Salary band is below the typical range for Data Science roles (median ~$179,000).
  • Starts above 10% of 30 comparable mid data science roles in United States we track (median $140,000 across 20 companies).
  • Looker appears in 17.7% of 62 comparable mid data science roles in United States.

Quick facts

Is the Data Solutions Analyst role remote?
No — this is an on-site role in New York, New York, United States.
What's the salary range?
VTS lists $110,000–$125,000 for this role.
How much experience is required?
3–4 years of relevant experience for this Data Solutions Analyst role.
Where is the role based?
VTS is hiring for this position in New York, New York, United States.
What's the tech stack?
Joblaze extracted these technologies from the posting: Looker.
What seniority level is this role?
VTS targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Data Solutions Analyst role at VTS.

From the original posting

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.
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.


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

Standard company text repeated across VTS's postings is omitted here.

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