Greyspace Capacity Analyst
Model and track greyspace capacity (electrical, mechanical, support space) across data center sites to ensure constraints are identified early. Build source-of-truth views, analyze trade-offs, and support design/delivery/operations teams with data center or industrial planning experience.
About the job
Role Scope
- Model greyspace capacity across sites: the electrical, mechanical, and support space budgets behind every megawatt of whitespace.
- Track allocation against design as builds evolve, catching where greyspace runs out before power does.
- Build the source-of-truth views that design, delivery, and operations use to answer whether it fits.
- Analyze trade-offs when programs compete for the same square footage or capacity headroom.
Requirements
- Experience in capacity or space planning for data centers, industrial plants, or utilities.
- Comfortable working with drawings and single-lines as well as spreadsheets.
- Built capacity models that caught a real constraint early.
- Maintain a source of truth current across many concurrent changes.
- Present constraints with options attached.
Nice-to-Haves
- DCIM tools.
- Electrical and mechanical fundamentals.
- SQL and BI tooling.
- Multi-site portfolios.
Skills
Capacity Planning, Space Planning, Data Center Design, Electrical Fundamentals, Mechanical Fundamentals, Dcim, SQL, BI Tools, Single-Line Diagrams, Spreadsheets
Similar jobs
Data Analytics jobs
Discord
United States
Own fraud detection, payments operations, investigations, and risk strategy while leading cross-functional programs and launch assessments. The role requires 4+ years in payments, fraud, or risk operations, strong SQL and card-network expertise, and the ability to communicate decisions across technical and business teams.
OnePay
United States
Own product and customer analytics across financial product experiences, turning behavioral data and customer feedback into roadmap recommendations and business decisions. The role requires 4–8 years of analytics experience, advanced SQL, strong analytical judgment, and daily fluency with AI-powered tools.
Spade
New York, NY
Analyzes transaction enrichment performance, investigates data-quality anomalies, and builds dashboards and monitoring to improve product accuracy and reliability. Requires 3–5 years of analytical experience, strong SQL and Python, and experience with BI and automated alerting.
Idme
Mountain View, CA
Analyzes and improves enterprise marketing systems, campaign data, automation workflows, and experimentation programs. The role requires 5–10 years of marketing systems experience, hands-on Marketo and Salesforce expertise, strong reporting and stakeholder-consultation skills, and a bachelor's degree or equivalent experience.
Current
New York, NY
Analyzes marketing spend, channel performance, attribution, and customer growth through reporting, experimentation, data modeling, and predictive analytics. Requires 3+ years of data analysis experience, marketing expertise, SQL, BI tools, Python, and a quantitative bachelor’s degree.