Data Analytics & Intelligence Lead

Mississippi Power Co

Atlanta, Northern (GA, KY)

Hybrid

USD 120,000 - 150,000

Full time

14 days+
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Job summary

Georgia Power is seeking a Data Analytics & Intelligence Manager within the Customer Experience organization to lead analytics strategy and enable data-driven decisions. The role manages a team delivering advanced analytics, AI-augmented insights, and customer intelligence to improve satisfaction and business performance.

Candidates should have a strong background in data science, programming (Python/SQL), cloud platforms, and experience in enterprise analytics.

Qualifications

  • Bachelor’s degree in engineering, analytics, data science, statistics, computer science, mathematics, econometrics, economics, business’administration or related field required.
  • Master’s degree or above highly preferred.

Responsibilities

  • Design and implement data analytics team strategies aligned with CX, Georgia Power, and Southern Company goals.
  • Lead direct reports and provide day-to-day strategic guidance.
  • Ensure use of voice-of-customer and demographic data to improve customer satisfaction.
  • Quantify ROI of CX initiatives with data-driven approaches.
  • Collaborate with Data Science to deliver end-to-end analytics support.
  • Stay abreast of AI trends and capabilities to enhance analytics delivery.
  • Remove blockers and manage budgets, timelines, and resources.

Skills

Data analytics
Python
SQL
R
SAS
Power BI
Azure
Databricks
LLMs
AI concepts

Education

Bachelor’s Degree in Engineering / Analytics / Data Science / related field
Master’s Degree preferred

Tools

Databricks
Azure
GCP
Power BI

Job description

Georgia Power is seeking a Data Analytics & Intelligence Manager within the Customer Experience organization to lead analytics strategy and enable data-driven decisions. The role manages a team delivering advanced analytics, AI-augmented insights, and customer intelligence to improve satisfaction and business performance.

Candidates should have a strong background in data science, programming (Python/SQL), cloud platforms, and experience in enterprise analytics.

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