AI-Powered Operations Analytics for Power Plants

SpaceXAI; Southaven (MS); On-site; USD 90,000 - 130,000; Full time

Job summary

SpaceXAI seeks a data analytics professional to turn plant data into actionable decisions for power generation. You will develop AI tools, dashboards, and metrics to monitor gas vs MW, demand vs generation, and maintenance forecasts, while collaborating across operations, maintenance, and environmental teams.

Reporting to the site director, you’ll drive continuous improvement, optimize processes, and deliver insights that improve reliability and efficiency in a dynamic power plant environment.

Qualifications

• Bachelor's degree in engineering, business, supply chain, MIS, CS, or economics is required.
• 2+ years in operations analytics, planning, or related roles.
• Experience with SQL, Excel, and data visualization tools is preferred.
• Strong communication and ability to work across teams.

Responsibilities

• Create and implement AI tools to support analytics and planning.
• Develop plant-level metrics and dashboards to quantify operational health.
• Analyze data with SQL and other methods to identify trends for decision making.
• Build reports and standardized metrics for operations and maintenance.
• Collaborate with engineering, environmental, and maintenance teams to identify gaps.

Skills

Data analysis

Cross-functional teamwork

Project management

Operations planning

Education

Bachelor's degree in engineering, business, supply chain, MIS, CS, or economics

Tools

Excel

VBA

SQL

Python/R

Power BI

Job description

SpaceXAI seeks a data analytics professional to turn plant data into actionable decisions for power generation. You will develop AI tools, dashboards, and metrics to monitor gas vs MW, demand vs generation, and maintenance forecasts, while collaborating across operations, maintenance, and environmental teams.

Reporting to the site director, you’ll drive continuous improvement, optimize processes, and deliver insights that improve reliability and efficiency in a dynamic power plant environment.