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indeed

Pricing Data Analyst

Southern Company
Atlanta, USA
Full-time
Onsite
Discovered 2 weeks ago
Pricing analysisSQLSASPythonRData visualization

Full Job Posting

In-office expectation

  • The role requires being in the office four days per week at 241 Ralph McGill Blvd, Atlanta, Georgia.

Role overview

Support development, evaluation, and optimization of pricing products and rate strategies.

Use data-driven analysis of existing rates, customer behavior, and emerging pricing opportunities to support regulatory initiatives and strategic decisions.

Collaborate across teams to analyze large datasets, develop reporting and visualizations, and identify actionable insights.

Contribute to pricing strategies, new product development, and analytical capabilities using modern tools, programming, and statistical techniques.

Job requirements

  • A four-year degree in a technical, analytical, business, engineering, economics, statistics, computer science, information systems, or related field is required; the description also marks it preferred.
  • Experience with traditional databases and/or data lakes and proficiency in one or more of SQL, SAS, Python, or R.
  • Experience with large datasets, data visualization tools, and analytical reporting.
  • Utility, regulated-industry, or energy-market experience is preferred but not required.
  • Strong attention to detail, organizational, analytical, and critical-thinking skills.
  • Ability to analyze customer behavior, usage patterns, and pricing impacts to identify insights, risks, and opportunities.
  • Ability to communicate findings to technical and non-technical audiences; understanding of data analysis, statistical concepts, and trend analysis.
  • Ability to manage multiple assignments and collaborate with teams and stakeholders.
  • Advanced degrees and/or certifications are a plus; exposure to cloud-based analytics tools, databases, or modern data platforms is also a plus.
  • Demonstrate behaviors consistent with the company's stated values.

Job responsibilities

  • Support execution of pricing- and rates-focused data analysis and visualization.
  • Assist with design and execution of experimental, where feasible, and quasi-experimental research into pricing and customer behavior.
  • Support provision of data to external requestors, including the PSC, third-party consultants, and customers.
  • Interface with internal customer data and analytics teams, advance pricing design principles, and represent pricing and rates interests.
  • Use new data and tools to automate processes, improve efficiency, and deliver customer value.

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