Top Remote Analysis Reporting Jobs in Atlanta, GA

Design, build, and maintain scalable data pipelines and tenant-aware APIs to ingest and transform data from varied sources. Work with event-driven and batch architectures, implement authentication and integration patterns, ensure observability/monitoring, optimize data flows for cost and performance, and collaborate with product, infrastructure, and engineering teams to onboard and maintain data sources at scale.

The Data Analyst will support data manipulation, ingest large volumes of data, create visualizations, and conduct analyses for U.S. Customs and Border Protection.

Transform operational and financial data into actionable insights to support vaccine purchasing programs. Build dashboards and reports, monitor manufacturer contract compliance, analyze purchasing and enrollment trends, support revenue optimization and rebate/commission reporting, maintain Salesforce data integrity, and drive process improvement and automation across cross-functional teams.

Lead design and implementation of the commercial data and systems foundation for launch and growth. Own Salesforce-led commercial systems, integrations, data warehouse, MDM, analytics enablement, governance, and scalable delivery to support commercial operations, reporting, and compliance.

The Analytics Engineer will design and implement analytics solutions, maintain reporting dashboards, partner with Product on KPIs, and support marketing with analytics.

As a Client Insights Lead, you will develop analytics strategies, connect cross-channel data, deliver actionable insights, and enhance client marketing decisions.

Design, develop, and maintain Microsoft Power Platform applications and dashboards (Power Apps, Power Automate, SharePoint, Dataverse, Power BI). Translate stakeholder requirements into technical solutions, create data visualizations and recurring reports, perform trend analysis, troubleshoot integrated solutions, and support system design, configuration, and continuous improvement to improve operational performance and remediation tracking.

Lead enterprise data architecture, migrations, and data services; define standards and roadmaps; oversee complex ETL and third-party integrations; deliver analytics, BI dashboards, and commercialization of AI analytics offerings; build the Data Strategy & Services organization and ensure continuity for legacy clients while partnering across Product, Engineering, Sales, and Customer Success.

Lead market and client-level fundraising data analysis and publish original research and benchmarks. Partner with Sales, Customer Success, and Marketing to produce ROI cases, client insights, and thought leadership. Present findings publicly at conferences, build repeatable insight frameworks and tools, and translate data into persuasive narratives for advancement leaders.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.