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Data Center Domain Analyst
Innodata Inc.
Delhi, India₹30,000–₹90,000/mo≈ AED 1.3K-4.0K/moToday
IndiaForecastingSQLdata ModelingBI Toolspower Cooling Systemsserver Fleet Lifecycle Managementcapacity Modelinginfrastructure Demand PlanningFull Time
Skills Required
SqlExcelErp
Job Description
Job Description As a Data Center Domain Analyst, your role involves having an in-depth knowledge of hyperscale or enterprise data center environments. You will be responsible for bridging data center operations, fleet optimization, private cloud capacity planning, infrastructure scaling, and analytics-driven decision intelligence.
Key Responsibilities:
- Enable data-backed optimization of infrastructure assets across regions to ensure scalability efficiency resiliency and sustainability of data center operations.
To excel in this role, you should have a deep understanding of power cooling systems, server fleet lifecycle management, capacity modeling, forecasting, and infrastructure demand planning. You should possess strong analytical capabilities including SQL data modeling and BI tools. Additionally, the ideal candidate will have experience working cross-functionally with engineering and operations teams. As a Data Center Domain Analyst, your role involves having an in-depth knowledge of hyperscale or enterprise data center environments. You will be responsible for bridging data center operations, fleet optimization, private cloud capacity planning, infrastructure scaling, and analytics-driven decision intelligence.
Key Responsibilities:
- Enable data-backed optimization of infrastructure assets across regions to ensure scalability efficiency resiliency and sustainability of data center operations.
To excel in this role, you should have a deep understanding of power cooling systems, server fleet lifecycle management, capacity modeling, forecasting, and infrastructure demand planning. You should possess strong analytical capabilities including SQL data modeling and BI tools. Additionally, the ideal candidate will have experience working cross-functionally with engineering and operations teams.