Top Senior Data & Analytics Jobs in Atlanta, GA

Lead a test team for data integration projects using Ab Initio, ensuring governance and quality for third-party testing while managing both functional and non-functional testing efforts.

Design, build, and maintain enterprise data engineering solutions and ETL/ELT pipelines using ADF, SSIS, and SAP Data Services. Develop and optimize database schemas and complex SQL in Oracle and SQL Server, implement data warehouse/data lake architectures (star/snowflake), ensure data quality and governance, create Power BI reports, automate workflows with Python and Shell, troubleshoot pipeline failures, support SDLC, and mentor junior engineers.

Design, build, and optimize cloud data platforms using Azure, Databricks, and Fabric. Lead discovery, architecture, and data ingestion (batch/streaming), implement medallion/lakehouse designs, engineering transformations, and recommend governance, DevOps, and security best practices while working directly with clients.

The MDM Operations Lead executes the MDM program, coordinates with stakeholders, leads change management, and oversees governance processes.

Build, operate, and monitor ETL/ELT pipelines between marketing, sales, and operational systems into Databricks. Implement dimensional models, identity resolution, data quality checks, API integrations, and scheduled/event-driven syncs to support segmentation, attribution, and campaign activation. Maintain documentation, alerting, and runbooks.

The Visual Analytics Architect will design and develop reports and dashboards using Qlikview, Tableau, Spotfire, and D3, while supporting the team and analyzing application requirements.

The Visual Analytics Architect will develop and design dashboards using Qlikview, Tableau, Spotfire, and D3, while mentoring team members and analyzing application requirements.

The Senior Data Scientist will design and implement AI solutions for supply chain problems, develop features, and collaborate with engineers and product owners.

Design, build, and maintain data warehousing, ETL pipelines, and BI reporting solutions. Create reports and dashboards (Power BI, SSRS, etc.), ensure data accuracy, collaborate with finance and IT stakeholders, support cloud data warehouse migrations (Azure), and deliver end-to-end BI solutions and analytics for business decision-making.

Lead analytics and operational insights for Customer Operations: define core metrics, build dashboards and forecasts, model churn/renewal risk, enable self-serve reporting, implement AI-enabled automation, and partner cross-functionally to drive retention, expansion, and support efficiency.