Top Analysis Reporting Jobs in Atlanta, GA

Leads advanced analytics for Sales Compensation, including quota processes, predictive modeling, reporting, data integration, ETL, and business intelligence. Analyzes data across applications, resolves discrepancies, defines data mappings, develops scalable automation and reporting solutions, collaborates with business stakeholders and DBAs, and delivers recommendations affecting multiple business organizations.

Leads the architecture, development, and operation of scalable enterprise data platforms, pipelines, ETL/ELT workflows, and transactional lakehouses. Uses AWS Glue, Apache Spark, Apache Hudi, and Amazon Athena to deliver production-grade data solutions. Provides data architecture leadership, code reviews, technical standards, query optimization, CI/CD integration, troubleshooting, and mentoring while collaborating with clients, product managers, and cross-functional teams.

Support digital tools, technology initiatives, project workflows, data management, visualization, and technology-enabled solutions. Collaborate with technical professionals to improve engineering and design team workflows, apply classroom knowledge to real-world challenges, and participate in professional development and networking activities.

Analyze customer feedback, operational and transaction data to identify experience issues, root causes, and improvement opportunities. Develop KPIs, dashboards, analytical frameworks, and reusable reporting assets. Use SQL, visualization platforms, and AI-enabled workflows to synthesize structured and unstructured feedback, improve analytical efficiency, and produce actionable recommendations. Partner with cross-functional stakeholders to connect insights to measurable outcomes while documenting assumptions, data limitations, metric definitions, and quality checks.

Design, build, and operate Azure-based data pipelines and integrations. Consolidate data from multiple sources into centralized SQL systems, perform transformations and field mapping, and maintain data warehouse capabilities. Troubleshoot quality, integrity, latency, security, and reliability issues while applying governance, monitoring, and SLA practices. Collaborate with engineers, analysts, and stakeholders in Agile pods to deliver reusable, analytics-ready data assets.

Leads the organization’s data strategy, analytics, and measurement capabilities. Advises enterprise clients on attribution, incrementality, marketing mix modeling, customer acquisition, and lifetime value. Oversees analytical workstreams, data products, dashboards, measurement tools, and the analytics roadmap while partnering with strategy, sales, client services, and AI teams. Builds data literacy through training and thought leadership, mentors talent, supports commercial growth, and represents the company at industry events.

Leads the Claims insights and analytics function, partnering with senior Claims, Reserving, Actuarial, Finance, and Underwriting stakeholders. Translates business priorities into reporting, dashboards, data products, predictive analytics, AI, and automation initiatives. Oversees delivery, measurable business value, governance, stakeholder adoption, and team development while improving claims outcomes, operational efficiency, leakage management, reserving effectiveness, and decision-making.

Supports business teams by developing reports, dashboards, data models, and analytical tools. Performs financial, statistical, and trend analysis; gathers reporting requirements; curates data from multiple sources; builds Power BI calculations and visualizations; conducts data and dashboard UAT; troubleshoots reporting issues with IT; documents solutions; and communicates findings to stakeholders. The role supports fuel pricing, wholesale analysis, fuel accounting, sales, retail, and energy operations.

Conduct pricing and business data analysis, build statistical and machine learning models, run analytical experiments, and identify trends in complex datasets. Partner with IT, management, data scientists, and third-party pricing software firms to implement solutions. Clean and interpret data, create reports and visualizations, present insights, support pricing decisions, and train others on analytical techniques.

Leads the Underwriting Data Engineering team and oversees the design, development, and productionization of scalable data and machine learning pipelines. Responsibilities include feature engineering, data preparation, model deployment, data validation, governance, monitoring, API integration, analytic data products, roadmap development, stakeholder collaboration, and team coaching.