Technical Business Analyst; Real Estate & Asset Management
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-06-18
Listing for:
Veriipro
Full Time
position Listed on 2026-06-18
Job specializations:
-
IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Engineering, Data Science Manager
Job Description & How to Apply Below
Location: New York
Core Responsibilities
- Support IT projects for real estate and global asset management teams.
- Gather and document business requirements from asset managers and analysts for data integrations and dashboard development.
- Coordinate Quick Base-based integrations, workflows, and data pipelines.
- Support dashboarding, reporting, and analytics development.
- Participate in data analysis, reporting enhancements, and automation initiatives (RFE-related work).
- Validate data relationships, mappings, and integrity across systems.
- Collaborate with developers to support data modeling and integration efforts.
- Ensure accurate translation of business needs into functional and technical specifications.
- 5–10 years of experience as a Business Analyst or Technical BA (mid-level preferred).
- Strong experience in Commercial Real Estate and/or Asset Management domain.
- Solid understanding of real estate KPIs, investment data structures, and asset management terminology.
- Experience working with data integrations and reporting solutions.
- Familiarity with Quick Base or similar low-code/no-code platforms (training available if needed).
- Experience with Microsoft stack tools, including:
- Power BI
- Power Apps
- Power Automate
- Excel and other Microsoft Office tools
- Strong ability to gather requirements, analyze data, and support dashboard/reporting solutions.
- Experience validating data for analytics, integrations, and reporting accuracy.
- Strong communication and stakeholder management skills.
- Experience working in global or multi-region teams.
- Exposure to data automation and workflow optimization initiatives.
- Familiarity with API-based integrations and data modeling concepts.
- Experience supporting reporting modernization or analytics transformation projects.
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