xAI· Data Center· Memphis, TN
Data Analyst - Physical Infrastructure
Classified Tasks (23)
Automate 4%Augment 78%Human-Only 17%
Automate (1)
Fully handled by AI agents
Identify anomalies in power distribution and cooling systems
analytical
Augment (18)
AI assists, human decides
Collect high-volume power, cooling, and energy usage data from datacenter facilities and power plants
technical
Clean high-volume power, cooling, and energy usage data from datacenter facilities and power plants
technical
Integrate high-volume power, cooling, and energy usage data from datacenter facilities and power plants
technical
Analyze high-volume power, cooling, and energy usage data from datacenter facilities and power plants
analytical
Build forecasting models for electricity, water, and other utility consumption
analytical
Refine forecasting models for electricity, water, and other utility consumption
analytical
Develop forecasts for utility consumption and costs to support budgeting, planning, and procurement
analytical
Design interactive business intelligence dashboards and reports
creative
Develop interactive business intelligence dashboards and reports
technical
Maintain interactive business intelligence dashboards and reports
operational
Identify trends in power distribution and cooling systems
analytical
Identify inefficiencies in power distribution and cooling systems
analytical
Identify optimization opportunities in power distribution and cooling systems
analytical
Support infrastructure expansion planning through scenario analysis
analytical
Perform capacity modeling to inform infrastructure expansion planning
analytical
Produce cost projections to inform infrastructure expansion planning
analytical
Automate data collection pipelines to enable real-time visibility and decision making
technical
Automate reporting processes to enable real-time visibility and decision making
technical
Human-Only (4)
Requires human judgment
Partner with mechanical, electrical, and facilities engineering teams to translate analytical findings into engineering improvements
leadership
Partner with mechanical, electrical, and facilities engineering teams to translate analytical findings into operational improvements
leadership
Present clear, actionable insights and recommendations to cross-functional teams and leadership
communication
Deliver data-driven insights to optimize physical infrastructure for AI supercomputing
analytical
Job description
ABOUT xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: We are seeking a Data Analyst to join xAI’s Infrastructure team responsible for building and operating world-class datacenters and power generation facilities. In this role, you will analyze power and cooling performance data, develop forecasts for utility consumption and costs, build and maintain business analytics dashboards, and deliver data-driven insights to optimize our rapidly expanding physical infrastructure for AI supercomputing. RESPONSIBILITIES: Collect, clean, integrate, and analyze high-volume power, cooling, and energy usage data from datacenter facilities and power plants Build and refine forecasting models for electricity, water, and other utility consumption to support budgeting, planning, and procurement Design, develop, and maintain interactive business intelligence dashboards and reports (using tools such as Seeq, Tableau, Power BI, Looker, or similar) Identify trends, anomalies, inefficiencies, and optimization opportunities in power distribution and cooling systems Partner with mechanical, electrical, and facilities engineering teams to translate analytical findings into engineering and operational improvements Support infrastructure expansion planning through scenario analysis, capacity modeling, and cost projections Automate data collection pipelines and reporting processes to enable real-time visibility and decision making Present clear, actionable insights and recommendations to cross-functional teams and leadership BASIC QUALIFICATIONS: 4+ years of professional experience in data analysis, business intelligence, or analytics engineering Strong SQL skills and proficiency in Python (pandas, scikit-learn, or similar) or R for data analysis and modeling Hands-on experience building dashboards and visualizations with Tableau, Power BI, Looker, or equivalent Solid foundation in statistics, time-series analysis, and forecasting techniques Experience working with large datasets and building scalable reporting solutions Excellent written and verbal communication skills PREFERRED SKILLS AND EXPERIENCE: Background in energy, utilities, datacenters, critical infrastructure, or industrial facilities Familiarity with SCADA systems, building management systems (BMS), or IoT sensor data Experience with cloud data platforms (Snowflake, BigQuery, AWS/GCP/Azure data services) Knowledge of power systems, HVAC/cooling efficiency metrics (PUE, WUE, etc.), or energy modeling Advanced degree in Data Science, Statistics, Engineering, Operations Research, or related quantitative field