Staff, Data Analytics Analyst

Southern Company•Atlanta, GA

About The Position

The Data Analytics Analyst transforms customer, operational, program, and market data into actionable insights that support decisions 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 findings clearly 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 develops and maintains dashboards, scorecards, recurring reports, segmentation, and ad-hoc analyses; supports measurement of business initiatives; and contributes to analytics modernization using approved AI-enabled capabilities, self-service tools, reusable data products, and common analytical standards. The analyst builds stakeholder relationships, communicates project status and recommendations, and ensures work follows applicable data governance, privacy, security, and compliance requirements.

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 explain complex technical information concisely and practically to non-technical audiences and leaders.
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 a listed or related field.
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 across the process from business-question definition and data preparation through 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 capabilities within enterprise analytics platforms to improve analytics efficiency, insight generation, data storytelling, and solution delivery while maintaining 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 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 productive relationships with business partners and cross-functional teams to clarify objectives, align priorities, and address business needs.
Communicate project status, analytical 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.
Manage assigned work accurately and responsively; identify risks, dependencies, and opportunities to improve client and customer value.