Staff, Data Analytics Analyst

Southern Company • Atlanta, GA

1d

About The Position

The Data Analytics Analyst transforms customer, operational, program, and market data into actionable insights that support decisions across Georgia Power’s 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 findings to technical and non-technical audiences.

The position delivers customer intelligence, operational analytics, and business performance insights for strategic objectives and day-to-day decisions. It analyzes data to identify trends, drivers, opportunities, and risks; develops dashboards, scorecards, recurring reports, segmentation, and ad hoc analyses; and supports measurement of business initiatives. The analyst collaborates across the analytics lifecycle, validates results, documents methods and assumptions, and follows applicable governance, privacy, security, and compliance requirements.

The role also modernizes analytics delivery through approved AI-enabled capabilities, self-service and conversational analytics, natural-language querying, reusable data products, common metrics, and improvements to tools and workflows. It builds productive stakeholder relationships and communicates project status, findings, limitations, recommendations, and business value in ways suited to each audience and decision context.

Requirements

• Bachelor’s degree in Engineering, Analytics, Data Science, Statistics, Computer Science, Mathematics, Econometrics, Economics, Business Administration, or a related field.
• At least 4 years of experience in business intelligence, data analytics, data management, or a related field, including developing and delivering 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.
• Working knowledge of statistical methods, performance measurement, forecasting, segmentation, predictive analytics, or other quantitative techniques.
• Strong business acumen and ability to connect data and research findings to customer, operational, and strategic objectives.
• Strong project delivery and organizational skills, including managing multiple priorities, meeting deadlines, and collaborating 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.
• Ability to work effectively in cross-functional teams, build constructive partnerships, and engage business partners to understand needs and define analytical solutions.
• 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, sound judgment, willingness to challenge existing approaches, and ability to connect problems with practical solutions.

Nice To Haves

• Master’s degree or above in one of the listed or related fields.
• Hands-on experience with cloud data and analytics platforms such as Databricks, Azure, or GCP.
• Familiarity with generative AI, conversational analytics, natural-language querying, and responsible use of AI-enabled analytics capabilities.
• Prior experience in the utility industry or in Customer Service, Sales, Marketing, Customer Experience, or related functional areas.
• Working knowledge of Oracle customer information systems or similar enterprise customer platforms.

Responsibilities

• Translate Customer Experience customer-intelligence, operational-performance, and decision-support needs into analytical approaches and deliverables.
• Analyze customer, operational, voice-of-customer, program enrollment, demographic, and market data to identify trends, drivers, opportunities, and risks.
• Develop and maintain dashboards, scorecards, recurring reporting, segmentation, and ad hoc analyses.
• Support measurement of business initiatives by developing metrics, baselines, performance indicators, and cost-benefit or ROI analyses where appropriate.
• Collaborate with data scientists and analytics partners throughout business-question definition, data preparation, analysis, visualization, recommendations, and implementation support.
• Validate data, analytical logic, and outputs; document methods and assumptions; and follow data governance, privacy, security, and compliance requirements.
• Use approved AI-enabled enterprise analytics capabilities to improve efficiency, insight generation, data storytelling, and solution delivery, with appropriate human review and governance.
• Develop and support self-service analytics, including dashboards, conversational analytics, and natural-language querying experiences.
• 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.
• Build relationships with business partners and cross-functional teams to clarify objectives, align priorities, and ensure solutions address business needs.
• Communicate project status, findings, limitations, recommendations, and business value through presentations, dashboards, written summaries, and discussions.
• Translate complex data and technical concepts into practical terms for non-technical audiences, tailoring detail to the audience and decision context.
• Participate in cross-functional and enterprise analytics initiatives with Technology, Southern Company Services, Customer Experience, Marketing, Power Delivery Analytics, AFT Analytics, Gas, vendors, and other partners as appropriate.
• Manage assigned work accurately and responsively, use sound judgment, and proactively identify risks, dependencies, and opportunities to improve client and customer value.

Benefits

• Competitive base salary.
• Annual incentive awards for eligible employees.
• Health, welfare, and retirement benefits designed to support physical, financial, and emotional/social well-being.
• Possible additional compensation through an incentive program, subject to the applicable plan terms and conditions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level