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About the Role
This role focuses on executing and refining machine learning models to support daily operations, long-term planning, and forecasting. It involves analyzing discrepancies, identifying new data sources, and assessing the effectiveness of data gathering techniques to enhance prediction accuracy and generate operational insights.
Responsibilities
- Executes existing machine learning models for daily operations, planning, and forecasting.
- Reconciles actual and anticipated outcomes to identify discrepancies.
- Analyzes discrepancies to isolate issues and enable continuous improvement.
- Modifies existing plans and forecasts as necessary and communicates adjustments.
- Identifies new data to enhance model quality and accuracy for improved predictions.
- Assesses the effectiveness and accuracy of new data sources and gathering techniques.
- Applies statistical and analytical methods to identify trends and dependencies.
- Generates operational insights and recommendations for areas of opportunity.
- Supports initiatives for data integrity and normalization.
- Utilizes database platforms for data collection and complex issue analysis.
- Participates in report development and presents information using data visualization tools.
- Stays abreast of emerging data tools and technology.
Requirements
- Bachelor's degree in MIS / Data Analytics, mathematics, engineering, statistics, or a related field.
- 1 year of relevant experience.
- Strong mathematical background with the ability to perform analysis involving statistical methods and regression analysis.
- Ability to communicate technical concepts to individuals with limited experience.
- Ability to perform analyses involving ratios, percentages, and simple statistical methods.
- Working knowledge of various software applications to create documents, reports, spreadsheets, and graphics.
- Requires occasionally performing activities including, but not limited to, bending, stooping, grasping, reaching, twisting, turning and/or lifting.
Skills
- Statistical computer language
- Data visualization tools
- Business intelligence tools
- Database platforms
- Data visualization tools and techniques
Location
- Indoor environment
Work Type
- Full-time
Experience Level
- 1 year of relevant experience
Education Level
- Bachelor's degree in MIS / Data Analytics, mathematics, engineering, statistics, or a related field
Benefits
- Benefit eligibility on the first day of employment
- Holidays and Paid Time Off
- Parental Leave
- Retirement Savings Plan (Matching and Fixed Annual Company Contribution)
- Annual Bonus Opportunity
- Employee Assistance Program
- Short-Term and Long-Term Disability Plans
- Basic Life Insurance
- Health Savings Account (HSA) Company Contribution with HDHP
- Wellness Programs
- LifeLock Identity Theft Protection
- Paid Training
- Linked-In Learning
- Medical Insurance and Prescription Drug Coverage
- Dental Insurance
- Vision Insurance
- Employee/Dependent Life Insurance
- Employee/Dependent Accidental Death & Dismemberment Insurance
- Healthcare, Dependent Care and Limited Purpose Flexible Spending Accounts
About the Company
- Atmos Energy Corporation is an Equal Opportunity Employer.
- At Atmos Energy, we enjoy an employee-focused culture with rewarding work, competitive pay, work-life balance, inclusion and diversity, and excellent benefits.
- Top Employer Recognitions: America’s Best Employers – Forbes Magazine, The 100 Most Trustworthy Companies in America - Forbes Magazine, Top Places to Work - Dallas Morning News, Best Places to Work - Mississippi Business Journal, Best Place to Learn - Dallas Chapter of the American Society for Training and Development (ASTD).
Equal Opportunity
- All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or veteran status.