The Research & Data Analyst will serve as a supporting member of the Location Strategy team, contributing to the data collection, organization, and analysis activities that underpin data center site identification and development. This is a junior-to-mid level role well suited for an early-career professional with 2–3 years of relevant experience who is eager to grow within a fast-moving infrastructure and real estate environment. The successful candidate will bring foundational analytical skills, a detail-oriented work ethic, and a genuine interest in location-based research and data-driven decision-making.
Key Responsibilities
Spatial & Location Data Processing The analyst will support the processing and maintenance of geographic and spatial datasets used to evaluate potential data center sites. Responsibilities include organizing data layers, performing basic spatial queries, and ensuring data accuracy and completeness across location-related inputs. Familiarity with GIS tools is a plus and will be developed on the job; prior GIS experience is not required.
Data Management & Quality Control The analyst will assist in maintaining structured databases and data repositories that support the team's ongoing research activities. Day-to-day tasks include data entry, data validation, and basic version control of datasets in accordance with the team's established standards. A foundational understanding of how data is organized and stored — whether through coursework, internship experience, or personal projects — is valued in this role.
Location Analysis & Site Evaluation Support Working under the direction of senior team members, the analyst will help compile and organize location metrics relevant to data center development. These metrics may include power and grid infrastructure availability, fiber connectivity, land use and zoning classifications, environmental constraints, and proximity to transportation corridors. The analyst will support the preparation of site summaries and comparative evaluations, contributing to the team's broader site scoring process.
Documentation & Metric Reporting The analyst will assist in maintaining standardized documentation for location metrics, research findings, and analytical outputs. This includes drafting written summaries, updating tracking logs, and producing clear, organized reports for internal review. The ability to communicate information in a structured, readable format is an important part of this role.
Project & Task Coordination The analyst will support day-to-day task management within the Location Strategy team, including maintaining project trackers, coordinating data requests, and flagging data gaps or dependencies that may affect project timelines. Strong organizational habits and a proactive communication style are key to success in this function.
Ad Hoc Research & Analysis The analyst will respond to ad hoc research requests from team members, which may include sourcing market data, summarizing industry trends, or compiling background information on specific geographies or infrastructure considerations. A curious, self-directed approach to research is highly valued.
Qualifications
Required
Qualification
Detail
Education
Bachelor's degree in Geography, Urban Planning, Data Science, Information Systems, Business, or a related field
Experience
2–3 years of professional experience in a data, research, or analytical role (internship experience considered)
Analytical Skills
Demonstrated ability to collect, organize, and interpret quantitative and qualitative data
Data Management
Comfort working with large datasets, structured datasets and spreadsheets in a professional or academic context
Communication
Clear written and verbal communication skills, with the ability to summarize findings for a general audience
Organization
Ability to manage multiple tasks and maintain accuracy under deadline pressure
Preferred
Qualification
Detail
GIS Familiarity
Exposure to GIS platforms such as Esri ArcGIS or QGIS, even at a basic or coursework level
Database Knowledge
Foundational understanding of relational databases, SQL, or data organization principles
Data Theory
Awareness of data governance, data normalization, or data lifecycle concepts
Industry Exposure
Any background in real estate, infrastructure, energy, or a related sector is a plus
Visualization Tools
Basic experience with tools such as Tableau, Power BI, or Excel-based dashboards
AI Fluency
Experience using modern AI tools/assistants to speed up research and analysis—drafting summaries, generating/iterating SQL/Python, and improving data QA—while verifying outputs, citing sources, and handling data responsibly.
Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.
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