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Build is an AI company creating an agentic AI stack for institutional real estate, automating complex development and acquisitions workflows. The company partners with major alternative asset investors, developers, and governments to accelerate built-world projects across digital infrastructure, energy, and industrial sectors.
As Market Data & Research Analyst, you will own Build's market intelligence function, serving as the primary source of market knowledge for clients, domain experts, and AI workflows. Your responsibilities include:
**Core Responsibilities:**
- Market coverage across data center, power, industrial, and institutional real estate markets in the US and Europe, tracking supply, demand, pipeline, pricing, and transactions
- Creating market reports, site and submarket briefs, and client-ready analysis supporting live deals
- Source discovery: identifying and evaluating new public, proprietary, and alternative data sources, then collaborating with the engineering team to integrate them into Build's platform
- Data quality assurance: validating accuracy, currency, and defensibility of all numbers behind site and market views
- Translating recurring research questions into scalable AI workflows and automated checks
**What Success Looks Like:**
You'll work closely with geospatial and data engineering teams to determine what data is needed, locate it, and ensure its integrity. Your insights will directly influence product development and enable Build's AI to operate at scale.
**Requirements:**
Ideal candidates include: analysts or researchers from data center, energy, or capital markets research teams at brokerages, investors, or advisory firms; professionals from real estate or infrastructure data companies with knowledge of data sources and their limitations; strategy or due diligence analysts with experience screening markets and sites across multiple geographies. Strong spreadsheet and data tool skills required; SQL or Python experience is a strong plus.
