# Data Analyst - Physical Infrastructure

**Company:** [xAI](https://hotfix.jobs/companies/xai)
**Location:** Memphis, TN
**Role:** Data Analytics
**Experience:** 4+ years
**Skills:** SQL, Python, pandas, scikit-learn, Tableau, Power BI, Looker, Statistics, Time-Series Analysis, Forecasting, Snowflake, BigQuery, Scada, Bms
**Posted:** 2026-04-20

> Analyzes power, cooling, and energy data for datacenters; builds forecasting models, dashboards, and delivers insights to optimize AI infrastructure. Requires 4+ years experience, strong SQL/Python, and BI tools like Tableau.

## Job Description

## 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

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