Description

Key Skills: SQL, Quantitative Research, Data modeling, Visualization, Data Visualization

Roles and Responsibilities:

• Perform number crunching and predictive capacity analytics using quantitative analytics.
• Apply expert knowledge of DC critical metrics such as power density, rack utilization, port availability, and idle services.
• Identify zombie servers and under-utilized deployments to eliminate dead costs and reclaim revenue-generating capacity.
• Generate insights by translating what the data says into what the business should do based on deployment gaps and trends.
• Map technical consumption metrics to financial outcomes and bottom-line revenue.
• Create executive-ready visual storytelling that connects technical metrics to business outcomes.
• Design slide-based presentations covering the full infrastructure lifecycle from sales to revenue mapping.

Skills Required:

• Strong experience in SQL, quantitative analysis, and data modeling.
• Good understanding of data center operations and DC metrics.
• Experience with visualization and reporting tools.
• Ability to analyze infrastructure and operational data to generate insights.
• Strong analytical and problem-solving skills.
• Experience in creating executive dashboards and presentation decks.
• Good understanding of capacity planning and resource utilization concepts.
• Ability to communicate technical insights in a business-friendly manner.
• Creative data storytelling and insight extraction skills are an added advantage.

Education: Bachelor's Degree in Computer Science or Bachelor's Degree in Data Science

Key Skills

Education

Any Graduate