Top Data & Analytics Jobs in Atlanta, GA

This role involves optimizing game operations by analyzing member behavior, identifying vulnerabilities in games, and collaborating on trading methods.

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.

Enter, update, verify, and organize customer or product data in systems; correct errors and collaborate with teams to ensure consistent, accurate records.

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.

Design, build, and maintain Power BI reports, dashboards, and data models. Collect and transform data from multiple sources, create DAX/M calculations, ensure data integrity, collaborate with stakeholders, provide end-user training, and support data governance and BI best practices.

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 Product Analyst will analyze customer behavior, lead experimentation efforts, and collaborate with teams to drive product initiatives and optimize performance through data-driven insights.

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.

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.