Decision Support Analyst - Analytics & ML Forecasting

Atmos Energy Corporation; Dallas (TX); On-site; USD 65,000 - 90,000; Full time

Benefits offered by this job

Health benefits

Paid time off

Retirement plan

Annual bonus opportunity

Job summary

Atmos Energy Corporation in Dallas is seeking a Data Analytics professional to execute machine learning models for daily operations, long-range planning, and forecasting. The role emphasizes analyzing discrepancies and using data to drive continuous improvement.

You will work with SQL and Excel, communicate complex technical concepts to non-technical stakeholders, and contribute to data integrity, visualization, and reporting. The position focuses on practical impact and process optimization.

Qualifications

• Bachelor's degree in MIS/Data Analytics/related field required.
• Strong mathematical background with statistical methods experience.
• Ability to explain technical concepts to non-technical audiences.

Responsibilities

• Executes existing machine learning models to support daily ops, forecasting and planning.
• Reconciles actual vs. forecasted outcomes and identifies discrepancies.
• Modifies plans and communicates adjustments; identifies new data to improve predictions.
• Assesses data sources, applies statistics to identify trends and dependencies.
• Supports data integrity and uses databases for ad-hoc/root-cause analysis.
• Participates in report development and presents insights with visuals.

Skills

Analytical thinking

Non-technical communication

Process improvement

Data-driven mindset

Education

Bachelor's degree in MIS/Data Analytics/related field

Tools

SQL

Excel

Job description

Atmos Energy Corporation in Dallas is seeking a Data Analytics professional to execute machine learning models for daily operations, long-range planning, and forecasting. The role emphasizes analyzing discrepancies and using data to drive continuous improvement.

You will work with SQL and Excel, communicate complex technical concepts to non-technical stakeholders, and contribute to data integrity, visualization, and reporting. The position focuses on practical impact and process optimization.