Data Analyst

Atmos Energy•Dallas, TX

About The Position

The Data Analyst executes existing machine learning models to support daily operations, long-term planning, and forecasting. The role reconciles actual and anticipated outcomes, investigates discrepancies by component, and supports continuous improvement. It modifies plans and forecasts when needed, communicates adjustments to appropriate personnel, and identifies additional data that could improve model quality and predictive accuracy. The position evaluates new data sources and collection techniques, applies statistical and analytical methods to identify trends and dependencies, and develops operational insights that may lead to recommendations. It supports data integrity and normalization initiatives, uses database platforms to collect data and conduct ad hoc and root-cause analysis of complex issues, and participates in report development. The analyst presents information clearly using data visualization tools and techniques and keeps current with emerging data tools and technology. The role requires a bachelor's degree in MIS/Data Analytics, mathematics, engineering, statistics, or a related field, along with one year of relevant experience and a strong mathematical background, including statistical and regression analysis. The work is performed indoors and may occasionally involve bending, stooping, grasping, reaching, twisting, turning, or lifting.

Requirements

Bachelor's degree in MIS/Data Analytics, mathematics, engineering, statistics, or a related field.
One year of relevant experience.
Strong mathematical background, including the ability to perform analyses using statistical methods and regression analysis.
Ability to communicate technical concepts and provide or obtain explanations and information for people with limited technical experience or knowledge.
Ability to perform analyses involving ratios, percentages, and simple statistical methods.
Working knowledge of software applications used to create and maintain documents, reports, spreadsheets, and/or graphics.

Nice To Haves

Knowledge of a statistical computer language.
Knowledge of data visualization tools.
Knowledge of business intelligence tools.

Responsibilities

Execute existing machine learning models in support of daily operations, long-term planning, and forecasting.
Reconcile actual and anticipated outcomes, analyze discrepancies by component, and help isolate issues for continuous improvement.
Modify plans and forecasts as necessary and communicate adjustments to appropriate personnel.
Identify new data that could improve model quality and prediction accuracy.
Assess the effectiveness and accuracy of new data sources and data-gathering techniques.
Apply statistical and analytical methods to identify trends and dependencies, generate operational insights, and potentially recommend responses to opportunities.
Support data integrity and normalization initiatives.
Use database platforms to collect data and perform ad hoc and root-cause analysis of complex issues.
Participate in report development and present information clearly using data visualization tools and techniques.
Stay abreast of emerging and evolving data tools and technology.