# Data Analyst - Physical Infrastructure

**Company**: xAI
**Location**: Memphis, TN
**Work arrangement**: onsite
**Experience**: mid
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q120599684

**Apply**: https://job-boards.greenhouse.io/xai/jobs/5112514007
**Canonical**: https://yubhub.co/jobs/job_5973e28c-ce1

## Description

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

## Skills

### Required
- SQL
- Python
- Tableau
- Power BI
- Looker
- Statistics
- Time-series analysis
- Forecasting
- Data analysis
- Business intelligence
- Analytics engineering

### Nice to have
- 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