Data Insights Analyst - ML Forecasting

Atmos Energy Corporation; Dallas (TX); On-site; USD 85,000 - 120,000; Full time

Benefits offered by this job

Holidays and Paid Time Off

Parental Leave

Retirement Savings Plan (Matching and

Annual Bonus Opportunity

Health Savings Account (HSA) Company

Wellness Programs

Linked-In Learning

Medical Insurance and Prescription

Job summary

Atmos Energy Corporation in Dallas, TX seeks a data analytics professional to translate complex data into actionable insights. You will execute machine learning models, monitor forecasting accuracy, and collaborate with stakeholders to improve processes beyond report generation.

Responsibilities include refining data pipelines, validating new data sources, and presenting findings with clear visualizations. A strong quantitative background and ability to explain technical concepts to

Qualifications

• Bachelor's degree in MIS/Data Analytics or related field with strong math background.
• Ability to perform statistical analyses and regression; data visualization skills.

Responsibilities

• Executes ML models in daily operations, forecasting and planning; analyzes discrepancies for continuous improvement.
• Modifies plans and communicates adjustments; identifies new data to enhance model accuracy.
• Assesses new data sources; uses statistical methods to identify trends and provide insights.
• Supports data integrity; uses databases to collect data and perform root-cause analyses.
• Develops and presents reports using data visualization tools.
• Stays current with emerging data tools and technologies.

Skills

Analytical thinking

SQL

Excel

Communication

Education

Bachelor's degree in MIS / Data Analytics, mathematics, engineering, statistics, or related field

Tools

Power BI

Job description

Atmos Energy Corporation in Dallas, TX seeks a data analytics professional to translate complex data into actionable insights. You will execute machine learning models, monitor forecasting accuracy, and collaborate with stakeholders to improve processes beyond report generation.

Responsibilities include refining data pipelines, validating new data sources, and presenting findings with clear visualizations. A strong quantitative background and ability to explain technical concepts to