Data Analyst - Physical Infrastructure

xAI|20 Apr 2026

fulltimeonsite

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

xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.