Data Analytics Analyst

JOB SUMMARY:   

The Data Analytics Analyst is responsible for transforming customer, operational, program, and market data into clear, actionable insights that support decisions and actions across the Georgia Power Customer Experience organization. The role partners with business leaders, data scientists, and cross-functional teams to develop analytics solutions, measure business performance, enable responsible self-service analytics, and communicate complex findings in practical terms for technical and non-technical audiences.

JOB REQUIREMENTS: (Education, Experience, Knowledge, Skills) 

 Education

• Bachelor’s Degree in Engineering, Analytics, Data Science, Statistics, Computer Science, Mathematics, Econometrics, Economics, Business Administration or related fields required.

• Master’s Degree or above in any of the above fields is preferred.

Knowledge/Experience/Skills  

• 4+ years of experience in business intelligence, data analytics, data management, or a related field, including the development and delivery of analytics solutions in a business environment. 

• Hands-on proficiency with relevant analytics tools and languages such as SQL, Power BI, Python, R, or SAS; experience with data modeling and dashboard development required.  

• Hands-on experience working with cloud data and analytics platforms such as Databricks, Azure, or GCP preferred.  

• Working knowledge of statistical methods, performance measurement, forecasting, segmentation, predictive analytics, or other quantitative techniques. 

• Familiarity with generative AI, conversational analytics, natural-language querying, and responsible use of AI-enabled analytics capabilities highly preferred. 
• Strong business acumen and demonstrated ability to connect data and research findings to customer, operational, and strategic objectives. 
• Strong project delivery and organizational skills, with the ability to manage multiple priorities, meet deadlines, and collaborate with internal and external stakeholders. 
• Excellent verbal, written, and data-storytelling skills, including the ability to translate complex technical information into concise, practical insights for non-technical audiences and leaders at various levels. 
• Demonstrated ability to work effectively in cross-functional teams, build constructive partnerships, and engage business partners to understand needs and define analytical solutions. 

• Prior experience in the utility industry or in Customer Service, Sales, Marketing, Customer Experience, or related functional areas preferred.

• Working knowledge of Oracle customer information systems or similar enterprise customer platforms preferred.

Behavioral Traits:

• Demonstrates Safety First, Intentional Inclusion, Superior Performance, and Acting with Integrity. 
• Customer- and client-centric, results- and detail-oriented, collaborative, curious, and committed to continuous learning. 
• Innovative mindset with sound judgment, a willingness to challenge existing approaches, and the ability to connect problems with practical solutions. 

MAJOR JOB RESPONSIBILITIES:    

This role delivers customer intelligence, operational analytics, and business performance insights supporting strategic objectives and day-to-day decisions across the Customer Experience organization. Major responsibilities include: 

Analytics Delivery and Business Performance Measurement (50%)

• Translate the customer intelligence, operational performance, and data-driven decision-support needs of the Customer Experience organization into clear analytical approaches and deliverables. 
• Analyze customer, operational, voice-of-customer, program enrollment, demographic, and market data to identify trends, drivers, opportunities, and risks that support improved customer and business outcomes. 
• Develop and maintain dashboards, scorecards, recurring reporting, segmentation, and ad-hoc analyses that provide timely and actionable insights. 
• Support measurement of business initiatives, including development of metrics, baselines, performance indicators, and cost-benefit or ROI analyses where appropriate. 
• Collaborate with Customer Experience data scientists and other analytics partners to provide end-to-end support, from business-question definition and data preparation through analysis, visualization, recommendation, and implementation support. 
• Validate data, analytic logic, and outputs; document methods and assumptions; and follow applicable data governance, privacy, security, and compliance requirements. 

Modernization of Analytics Solution Delivery (25%) 

• Use approved AI-enabled capabilities within enterprise analytics platforms to improve analytics efficiency, insight generation, data storytelling, and solution delivery while maintaining appropriate human review and governance. 
• Develop and support intuitive self-service analytics, including dashboards, conversational analytics, and natural-language querying experiences that help business partners independently access and interpret trusted information. 
• Research analytics, AI, visualization, and data-management trends; assess practical applications and recommend improvements to tools, methods, workflows, and customer-facing insights. 
• Contribute to reusable data products, common metrics, analytical standards, documentation, and quality controls that improve consistency and scalability across the team. 

Stakeholder Engagement and Communication (25%) 

• Build productive relationships with business partners and cross-functional teams to clarify objectives, align on priorities, and ensure analytics solutions address the underlying business need. 
• Communicate project status, analytical findings, limitations, recommendations, and business value to client groups, peers, and leadership through concise presentations, dashboards, written summaries, and discussions. 
• Translate complex data and technical concepts into practical terms for non-technical audiences and tailor the level of detail to the audience and decision context. 

• Participate in cross-functional and enterprise analytics initiatives, collaborating with Technology, Southern Company Services, Customer Experience, Marketing, Power Delivery Analytics, AFT Analytics, Gas, vendors, and other partners as appropriate.

• Manage assigned work with accuracy, responsiveness, and sound judgment; proactively identify risks, dependencies, and opportunities to improve client and customer value.