Market Data & Research Analyst

Build Technologies•New York City, NY

About The Position

Build is hiring a Market Data & Research Analyst to own market intelligence supporting its institutional real estate platform. The role covers powered land and built-world opportunities, including power capacity, energisation dates, zoning, title, and pricing. The analyst will track market supply, demand, pipelines, pricing, and transactions across data center, power, industrial, and institutional real estate markets in the US and Europe. They will produce market reports, site and submarket briefs, and client-ready analysis for live deals; identify and evaluate public, proprietary, and alternative data sources; and work with geospatial and data engineering teams to integrate sources into Build's platform and maintain reliable data. The role also turns recurring research questions into workflows and checks that AI can run at scale. Build describes its working culture as fast-moving, intense, high-standard, ownership-oriented, and focused on performance and teamwork.

Requirements

  • Strong spreadsheet and data-tool skills.
  • Experience or knowledge relevant to data center, energy, capital markets, real estate, infrastructure data, strategy, or due diligence research is described as a possible candidate background.

Nice To Haves

  • SQL or Python skills are a strong plus.
  • Background as an analyst or researcher on a data center, energy, or capital markets research team at a brokerage, investor, or advisory firm.
  • Experience at a real estate or infrastructure data company, with knowledge of data sources and their limitations.
  • Experience screening markets and sites across multiple geographies as a strategy or due diligence analyst.

Responsibilities

  • Track supply, demand, pipelines, pricing, and transactions across data center, power, industrial, and institutional real estate markets in the US and Europe.
  • Produce market reports, site and submarket briefs, and client-ready analysis that supports live deals.
  • Find and evaluate public, proprietary, and alternative data sources, and work with engineering to bring them into Build's platform.
  • Check that the numbers behind each site and market view are accurate, current, and defensible.
  • Turn recurring research questions into workflows and checks that Build's AI can run at scale.
  • Work closely with the geospatial and data engineering team to identify needed data and ensure its quality.

Benefits

  • Meaningful, generous equity.
  • Radical autonomy and real ownership, with minimal bureaucracy.
  • An accelerated opportunity to learn company building and gain product judgment, execution speed, and accountability.
  • Work with elite teammates and experience extraordinary team culture and activities.
  • Opportunity to contribute to real-world projects and work with large institutions at the frontier of AI.
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