xAI

xAI

Posted via Greenhouse

Data Analyst - Physical Infrastructure

Posted Aug 5, 2026

Role at a glance

Salary
Not Disclosed
Location
Memphis, Tennessee, United States
Work arrangement
On-site
Employment
Full-time
Experience
4+ years of professional experience in data analysis, business intelligence, or analytics engineering
Education
Advanced degree in Data Science, Statistics, Engineering, Operations Research, or related quantitative field

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Role Summary

AI-generated

The Data Analyst will join SpaceXAI’s Infrastructure team, which builds and operates datacenters and power generation facilities. The role focuses on analyzing power and cooling performance, forecasting utility consumption and costs, and delivering insights to optimize physical infrastructure for AI supercomputing.

What You'll Do

  • 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
  • Design, develop, and maintain interactive business intelligence dashboards and reports
  • Identify trends, anomalies, inefficiencies, and optimization opportunities in power distribution and cooling systems
  • 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

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Requires 4+ years of experience in data analysis, business intelligence, or analytics engineering; strong SQL and proficiency in Python or R; dashboard and visualization experience; knowledge of statistics, time-series analysis, forecasting, large datasets, and scalable reporting solutions; and excellent written and verbal communication skills.

Required

  • 4+ years of professional experience in data analysis, business intelligence, or analytics engineering
  • Strong SQL skills
  • 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

  • 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

Original job description

Content provided by the employer
View on company site

SpaceXAI’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 SpaceXAI'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

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

xAI

About the company

xAI

Large Enterprise

xAI is a cutting-edge technology company focused on developing advanced artificial intelligence solutions to enhance human capabilities and optimize decision-making processes. Founded by a team of leading experts in AI and machine learning, xAI aims to address complex challenges across various industries, including healthcare, finance, and transportation. By prioritizing ethical AI development, the company is committed to creating innovative tools that empower organizations to harness the full potential of artificial intelligence while ensuring transparency and accountability.

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