Market Data & Research Analyst

Build Technologies•London, New York
•$90,000 - $140,000

About The Position

Build is hiring a Market Data & Research Analyst to own the company’s market intelligence across data center, power, industrial, and institutional real estate markets in the US and Europe. The role tracks capacity, energisation dates, land and asset pricing, development activity, and transactions, producing research used by clients, domain experts, and AI workflows. The analyst will create market reports, site and submarket briefs, and client-ready analysis supporting live deals. They will discover and evaluate public, proprietary, and alternative data sources, collaborating with the geospatial and data engineering team to integrate data into Build’s platform and ensure market information is accurate, current, and defensible. The role also turns recurring research questions into workflows and checks that Build’s AI can run at scale.

Requirements

  • Strong spreadsheet and data-tool skills.
  • Passion for the built world and the people who shape it.
  • Ability to work with intensity, move quickly, and maintain high standards.
  • Ability to take ownership of outcomes and work collaboratively with integrity and trust.

Nice To Haves

  • SQL or Python skills.
  • Experience 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 as a strategy or due diligence analyst screening markets and sites across multiple geographies.

Responsibilities

  • Track supply, demand, pipeline, pricing, and transactions in data center, power, industrial, and institutional real estate markets across 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.
  • Work with the geospatial and data engineering team to bring data sources into Build’s platform.
  • Check that data behind site and market views is accurate, current, and defensible.
  • Turn recurring research questions into workflows and checks that AI can run at scale.

Benefits

  • Meaningful, generous equity.
  • Radical autonomy and end-to-end ownership with minimal bureaucracy.
  • An accelerated opportunity to learn company building, product judgment, execution, and accountability.
  • Work with elite teammates on consequential projects shaping the built world.
  • Team experiences and a culture that includes shared food and distinctive workspaces.
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