Top Senior Data & Analytics Jobs in Atlanta, GA

Lead and develop a team delivering data conversion for customer implementations. Drive adoption of AI and automation, manage complex/at-risk migrations, track KPIs, and improve processes through experimentation and transformation.

Lead the design and implementation of enterprise-scale Knowledge Graphs and Semantic AI solutions, integrating graph intelligence and Generative AI. Manage cross-functional teams in data architecture and governance.

Own operational and performance reporting, data governance, and automation enablement for the Employee Service Center. Build and maintain payroll and ESC dashboards, ensure data accuracy, identify AI/automation opportunities, support audits and ad hoc requests, and partner cross-functionally to modernize reporting into automated workflows.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

Design and build data validation, integration, and transformation solutions to support ERP implementations and risk/regulatory clients. Develop data pipelines and infrastructure, manage data validation processes, ensure data lineage and quality, manipulate large datasets using Excel, Alteryx, SQL, Python, Databricks, or Snowflake, and collaborate with clients to deliver scalable, governed data solutions.

The VP of Alternative Data Strategy drives sourcing, prioritisation, and implementation of alternative datasets, aligning data opportunities with investment strategies and governing data usage across teams.

Lead a team of data analysts to design and implement analytical models, dashboards, and self-service analytics. Identify business opportunities through deep data exploration, translate findings for stakeholders, collaborate cross-functionally to ensure data integrity, mentor junior analysts, and contribute to data governance and continuous improvement of analytics capabilities.

Designs, builds, and maintains scalable data infrastructure, streaming and batch pipelines, and data products. Works with stakeholders to model, transform, and deploy data solutions using cloud, streaming, and ETL frameworks while ensuring governance, observability, and automated CI/CD deployments.

Provide advanced analytics, reporting, and predictive modeling to identify, monitor, and mitigate risks across portfolios. Build, validate, and present analysis and models, troubleshoot data issues, collaborate with IT and business lines, and deliver actionable insights to management.

Design and govern enterprise semantic models in Microsoft Fabric and Power BI, author complex DAX and queries, enable NLQ/Copilot and AI integrations, coach report developers, lead stakeholder requirements, and implement governance, performance optimization, security, and AI-readiness across reporting domains.