IT / Hardware Capacity Analyst
Model and reconcile IT/hardware capacity needs across data center sites, building automated views for planning and procurement while chasing discrepancies in orders, inventory, and lead times.
About the job
Responsibilities
- Model IT and hardware capacity across the pipeline: what compute, network, and support gear each site needs and when.
- Reconcile demand against orders, inventory, and lead times, and flag the gap before it hits a schedule.
- Build the capacity views planning and procurement run on, refreshed automatically.
- Chase discrepancies to ground: a miscounted rack now is a missed energization later.
Requirements
- Experience in capacity, demand, or supply planning for hardware-heavy operations.
- Built models in SQL or spreadsheets that survived contact with messy source data.
- Reconcile relentlessly: your numbers tie out or you know exactly why not.
- Translate an analysis into an action: order now, shift that, escalate this.
- Automate refreshes rather than rebuilding by hand.
Nice-to-Haves
- Data center or hardware supply chains.
- ERP data.
- Python.
- Forecasting methods.
Skills
SQL, Spreadsheets, Python, ERP, Forecasting, Capacity Planning, Demand Planning, Supply Planning
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.