JobsData AnalystDallasData Analyst
Atmos Energy
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Data Analyst
Atmos Energy · Dallas, Texas, United States
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In short
The Data Analyst will execute machine learning models to support forecasting and operational planning while identifying trends through statistical analysis. They are also responsible for maintaining data integrity, developing reports, and presenting insights using data visualization tools.
What they're looking for
MUST-HAVE SKILLS
ALSO MENTIONED
Candidates must hold a bachelor's degree in a quantitative field such as MIS, mathematics, or statistics, along with at least one year of relevant experience. Strong mathematical skills, including proficiency in regression analysis and statistical methods, are required.
About the employer
Atmos Energy
Your natural gas company.
Atmos Energy Corporation, a natural gas-only distributor, is an S&P 500 company headquartered in Dallas. We safely deliver reliable, affordable, efficient and abundant natural gas to more than 3 million distribution customers in over 1,400 communities across eight states located primarily in the South. As part of our vision to be the safest provider of natural gas services, we are modernizing our business and infrastructure while continuing to invest in safety, innovation, environmental sustainability and our communities. Atmos Energy manages proprietary pipeline and storage assets, including one of the largest intrastate natural gas pipeline systems in Texas. Find us online at http://www.atmosenergy.com, Facebook, Twitter, Instagram and YouTube.
- INDUSTRY
- Utilities
- COMPANY
- Public Company
- FOUNDED
- 1906
- HEADQUARTERS
- Dallas, Texas
- SIZE
- 1,001-5,000
- OFFICES
- 1 on LinkedIn
KNOWN FOR
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Questions about this role
- Is this Atmos Energy role remote?
- Tagged on site.
- Does it sponsor visas?
- Listed as no visa sponsorship.
- What experience does it ask for?
- Listed as 0-2 years.
The posting, in full
THIS JOB DESCRIPTION DOES NOT ATTEMPT TO LIST ALL OF THE DUTIES THAT ARE OR MAY BE PERFORMED IN THIS POSITION Primary Duties Executes existing machine learning models in support of daily operations, long-term planning, and forecasting efforts. Reconciles actual and anticipated outcomes to identify discrepancies. Analyzes discrepancies by each component to isolate issues and enable continuous improvement.
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THIS JOB DESCRIPTION DOES NOT ATTEMPT TO LIST ALL OF THE DUTIES THAT ARE OR MAY BE PERFORMED IN THIS POSITION
Primary Duties
- Executes existing machine learning models in support of daily operations, long-term planning, and forecasting efforts. Reconciles actual and anticipated outcomes to identify discrepancies. Analyzes discrepancies by each component to isolate issues and enable continuous improvement.
- Modifies existing plans and forecasts as necessary. Communicates adjustments to appropriate personnel. Identifies new data that could enhance the quality and accuracy of models to improve predictions.
- Assesses the effectiveness and accuracy of new data sources and data gathering techniques. Applies statistical and analytical methods to identify trends and dependencies. Generates operational insights and may make recommendations for addressing areas of opportunity.
- Supports initiatives for data integrity and normalization. Utilizes various database platforms to collect data and complete the ad-hoc/root cause analysis of complex issues.
- Participates in the development of reports. Presents information in a clear, consumable manner using data visualization tools and techniques.
- Stays abreast of emerging and evolving data tools and technology.
MINIMUM REQUIREMENTS
Educational/Experience Level
Bachelor's degree in MIS / Data Analytics, mathematics, engineering, statistics, or a related field and 1 year of relevant experience. Strong mathematical background with the ability to perform analysis involving statistical methods and regression analysis.
Preferred Skills
Knowledge of statistical computer language, data visualization and business intelligence tools.
Communication Skills
Requires the ability to communicate with internal and/or external customers in order to obtain and/or provide explanations and/or information on technical concepts to individuals with limited experience in or knowledge of the technical area.
Numeric Skills
Requires the ability to perform analyses involving ratios, percentages and simple statistical methods.
Computer Skills
Requires working knowledge of various software applications to create and maintain documents, reports, spreadsheets, and/or graphics.
WORK CONDITIONS:
Works in an indoor environment. Requires occasionally performing activities including, but not limited to, bending, stooping, grasping, reaching, twisting, turning and/or lifting.
Atmos Energy Corporation is an Equal Opportunity Employer. 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.
At Atmos Energy, we enjoy an employee-focused culture with rewarding work, competitive pay, work-life balance, inclusion and diversity, and excellent benefits.
Atmos Energy offers benefit eligibility on the first day of employment and they include:
Company-Provided Benefits
- 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
- Employee Assistance Program
- Wellness Programs
- LifeLock Identity Theft Protection
- Paid Training
- Linked-In Learning
Voluntary Benefits
- Retirement Savings Plan
- 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
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)
Job Family
Data Analytics
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