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 under the following Grade Levels: Data Analytics Analyst (GL - 04), Senior Data Analytics Analyst (GL - 05), or Staff Data Analytics Analyst (GL - 06). Individuals who demonstrate advanced skills in terms of work experience, education, and certifications may be eligible for the more advanced position.
Functional Expertise:
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
Business Acumen:
Understand the importance of Data Analytics to the profitability of the company
Constantly look for ways to improve the current models in multiple markets to mitigate potential model risks and enhance profitability
Thorough knowledge of quantitative methods, statistical models, and optimization concepts and the ability to apply them to business situations
Understand how data can be used and how data quality can be improved to discover and mitigate risks inherent in our business
Engagement:
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
Driving Results:
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
Education, Certifications/Licenses:
Required:
Preferred:
DATA ANALYTICS ANALYST (GL - 04)
Related Work Experience:
Required:
Preferred:
Specific Skills & Knowledge:
Required:
Advanced proficiency in MS Office Suite such as Excel and Access
Knowledge of data base management systems such as Oracle, 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
SENIOR DATA ANALYTICS ANALYST (GL - 05)
Related Work Experience:
Required:
5-9 years' experience in data gathering, analytics and reporting*
Proven track record of model creation and management in a business environment
Extensive experience in manipulating large databases using SQL, Hadoop, Spark, Azure or AWS
Preferred:
Specific Skills & Knowledge:
Required:
Advanced proficiency in MS Office Suite such as Excel and Access
Knowledge of data base management systems such as Oracle, 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
Experience with data visualization in Power BI, SSRS, or other comparable tools
Demonstrate quantitative skills and ability to apply complex financial and statistical principles
Hands on programming skills using SPSS, SAS, Python or R
STAFF DATA ANALYTICS ANALYST (GL - 06)
Related Work Experience:
Required:
9+ years' experience in data gathering, analytics and reporting*
Proven track record of model creation and management in a business environment
Extensive experience in manipulating large databases using SQL, Hadoop, Spark, Azure or AWS
Hands on experience on Machine Learning, Artificial Intelligence, and/or Big Data
Preferred:
Specific Skills & Knowledge:
Required:
Advanced proficiency in MS Office Suite such as Excel and Access
Knowledge of data base management systems such as Oracle, 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
Experience with data visualization in Power BI, SSRS, or other comparable tools
Demonstrate quantitative skills and ability to apply complex financial and statistical principles
Technical leadership experience and programming skills using SPSS, SAS, Python or R
Working Conditions/Physical Requirement:
The incumbent works in an office environment with a hybrid work schedule.
Disclaimer:
This information describes the general nature and level of work performed by employees in this job. The description is not designed to be a comprehensive inventory of duties, responsibilities and qualifications required in the job. Reasonable accommodations may be made to qualified disabled individuals for performance of essential duties and responsibilities.
About Southern Company Gas
Southern Company Gas is a wholly owned subsidiary of Atlanta-based Southern Company (NYSE:SO), America's premier energy company. Southern Company Gas serves approximately 4.2 million natural gas utility customers through its regulated distribution companies in four states and approximately 600,000 retail customers through its companies that market natural gas. Other nonutility businesses include investments in interstate pipelines and ownership and operation of natural gas storage facilities. For more information, visit southerncompanygas.com .
Southern Company (NYSE: SO) is a leading energy provider serving 9 million residential and commercial customers across the Southeast and beyond through its family of companies. Providing clean, safe, reliable and affordable energy with excellent service is our mission. The company has electric operating companies in three states, natural gas distribution companies in four states, a competitive generation company, a leading distributed energy infrastructure company with national capabilities, a fiber optics network, and telecommunications services. Through an industry-leading commitment to innovation, resilience, and sustainability, we are taking action to meet our customers' and communities' needs while advancing our commitment to net zero emissions by 2050. Our uncompromising values ensure we put the needs of those we serve at the center of everything we do and are the key to our sustained success. We are transforming energy into economic, environmental and social progress for tomorrow. Our corporate culture and hiring practices have earned the company national awards and recognition from numerous organizations, including Forbes, Military Times, DiversityInc, Black Enterprise, J.D. Power, Fortune, Human Rights Campaign and more. To learn more, visit www.southerncompany.com.
Southern Company is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law.
Job Identification: 6678
Job Category: Data Analytics
Job Schedule: Full time
Company: Southstar Energy Services
