8ba551e0-be3 Data Analyst - Physical Infrastructure 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 analyse power and cooling performance data, develop forecasts for utility consumption and costs, build and maintain business analytics dashboards, and deliver data-driven insights to optimise our rapidly expanding physical infrastructure for AI supercomputing.

Responsibilities: Collect, clean, integrate, and analyse high-volume power, cooling, and energy usage data from datacentre 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 optimisation 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 modelling, 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

XML job scraping automation by YubHub

]]> full-time mid onsite Competitive salary and benefits package SQL, Python, Tableau, Power BI, Looker, Statistics, Time-series analysis, Forecasting techniques, Energy, Utilities, Datacentres, Critical infrastructure, Industrial facilities, SCADA systems, Building management systems, IoT sensor data, Cloud data platforms, Power systems, HVAC/cooling efficiency metrics, Energy modelling Engineering Technology xAI https://logos.yubhub.co/xai.com.png xAI creates AI systems to understand the universe and aid humanity in its pursuit of knowledge. The organisation operates with a flat structure and expects employees to be hands-on. https://www.xai.com/ https://job-boards.greenhouse.io/xai/jobs/5112514007 Memphis, TN 2026-04-24 5973e28c-ce1 Data Analyst - Physical Infrastructure 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 focus on analysing power and cooling performance data, developing forecasts for utility consumption and costs, and delivering data-driven insights to optimise our rapidly expanding physical infrastructure for AI supercomputing.

Responsibilities:

  • Collect, clean, integrate, and analyse 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 optimisation 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 modelling, 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 modelling
  • Hands-on experience building dashboards and visualisations 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 modelling
  • Advanced degree in Data Science, Statistics, Engineering, Operations Research, or related quantitative field

XML job scraping automation by YubHub

]]> full-time mid onsite SQL, Python, Tableau, Power BI, Looker, Statistics, Time-series analysis, Forecasting, Data analysis, Business intelligence, Analytics engineering, Energy, Utilities, Datacenters, Critical infrastructure, Industrial facilities, SCADA systems, Building management systems, IoT sensor data, Cloud data platforms, Power systems, HVAC/cooling efficiency metrics, Energy modelling Engineering Technology xAI https://logos.yubhub.co/xai.com.png xAI creates AI systems to understand the universe and aid humanity in its pursuit of knowledge. The organisation operates with a flat structure and has a small, highly motivated team. https://www.xai.com/ https://job-boards.greenhouse.io/xai/jobs/5112514007 Memphis, TN 2026-04-24