Analyst, Data Analytics (All Levels)

Southern Company•Atlanta, GA

9h•Onsite

About The Position

The position is responsible for quantitative analysis on structured pricing products and developing tools and models for forecast and valuation. This role maintains the existing quantitative models and provides detailed report on model results timely and accurately. The position is accountable for continuously improving models, analysis and database across different markets. The candidate must be able to develop and implement advanced modeling methodologies to foster company-wide business decision making. This position also requires establishing close working relationship with other teams across the enterprise. This position may be filled as Data Analytics Analyst (Grade 4), Senior Data Analytics Analyst (Grade 5), or Staff Data Analytics Analyst (Grade 6). Individuals who demonstrate advanced skills in terms of work experience, education, and certifications may be eligible for the more advanced position.

Requirements

Bachelor’s degree in mathematics, economics, engineering, or similar discipline.
Advanced proficiency in MS Office Suite such as Excel
Knowledge of data base management systems such as SQL Server or MySQL
Proven record of experience working with large databases and use of statistical models for valuation and prediction.
Ability to manage multiple projects at once with several departments and stakeholders in a timely fashion with measurable results.

Nice To Haves

Graduate degree in quantitative discipline
Utility, natural gas or other energy industry experience
Hands on experience with Machine Learning, Artificial Intelligence, and/or Big Data
Experience with data visualization in Power BI or other comparable tools
Demonstrate quantitative skills and ability to apply complex financial and statistical principles
Hands on programming skills using Python
Technical leadership experience and programming skills using Python

Responsibilities

Analyze and organize key customer data for use in pricing and planning.
Manage, improve, and validate existing predicative models, including the running of monthly reports that summarize key forecasting results to be used throughout the organization.
Develop new statistical models to support special project analysis as requested.
Leveraging innovative technologies such as machine learning and AI techniques to foster data analytical capability and support company growth strategy
Exhibit high level of personal responsibility to data analysis.
Support internal and external auditing on models and analytics tools
Collaborate with other teams to develop modeling tools and analysis reports and communicate projects results/status to appropriate audience
Partner with management in decision making processes and influence the actions of others to ensure the achievement of business goals
Collect, organize, and process complex data and information from multiple sources, verify its accuracy, and effectively build analytical models based on the data to enhance business profitability
Drive efficiencies through continuous process improvement without implementing undue complexity
May direct the work of other lower-level professionals