Top Analysis Reporting Jobs in Atlanta, GA

Analyze complex datasets and translate client objectives into BI strategies. Build and automate dashboards and reports, optimize KPIs, maintain data governance, support integrations, provide prompt engineering and AI-driven insights, and train stakeholders to drive data-driven decisions.

Support cross-functional teams by driving data-driven decisions for growth initiatives. Design, run, and analyze A/B experiments, extract insights from advanced ML models, and identify automation opportunities to scale acquisition and partnerships.

Serve as a client-facing analytics consultant supporting, sustaining, and evolving data platforms. Deliver ad-hoc analyses, build automated analytical flows and visualizations, lead trainings and coaching, create knowledge-base content, and manage stakeholder requests using tools like Alteryx, Sigma, Power Platform, Python, and SQL.

Support revenue cycle operations by managing, normalizing, and analyzing financial and operational data. Produce forecasts, invoices, dashboards, and client reports; automate reporting; perform billing/reimbursement research; collaborate with RCM, finance, and client teams to improve AR recovery and revenue performance.

The Data Architect will design and implement an enterprise data cloud, develop data models, and lead data strategy initiatives for clients. Responsibilities include requirements gathering, database design, and creating data integration solutions, ensuring effective client collaboration and project success.

Develop and maintain KPI reporting and dashboards, generate insights for business partners, support ML initiatives and model deployment, perform ad hoc analyses, and contribute to corporate reporting and forecasting.

The Lead Enterprise Risk Analyst identifies, evaluates, and mitigates risks affecting the organization, using quantitative and qualitative methods to ensure compliance with regulations and improve risk management frameworks.

Design and advise on scalable cloud data platforms (AWS/Azure/Google Cloud) to support enterprise reporting, analytics, data governance, and integration. Lead data modeling, data lake and warehouse architecture, governance, data quality remediation, and vendor/tool evaluations. Prepare client proposals, cost analyses, and long-term architectural plans while guiding stakeholders and data stewardship efforts to deliver sustainable, high-performing data solutions.

Operate and support critical data pipelines and infrastructure, troubleshoot production data issues, perform root cause analysis, implement automation and monitoring, own incident management and on-call rotation, and create support documentation to ensure reliable, timely, and consumable data for stakeholders.

The Lead Analyst for AI Ops is responsible for ensuring application performance, troubleshooting errors, managing incidents, and improving system stability through analysis and collaboration with stakeholders.