Top Data & Analytics Jobs in Atlanta, GA

The Workers Compensation Pricing Analyst evaluates business submissions, analyzes risks for pricing, and collaborates with colleagues to ensure profitable business decisions.

Serve as the analytics bridge between product, engineering, data science, and UX to ensure data quality, define measurement plans, conduct behavioral analyses, and support A/B experimentation for mobile and web products. Improve analytics instrumentation, maintain event taxonomy and documentation, enable self-service analytics, and surface insights to drive product decisions.

As a Lead Data Engineer, you'll design scalable data frameworks, develop data pipelines, implement data quality checks, and collaborate with stakeholders to enhance data solutions.

The Business Analyst will analyze manufacturing operations and financial reporting, manage multiple plants, document processes, and recommend software solutions.

Lead design and implementation of Databricks lakehouse architectures and best practices. Build and optimize Spark/Delta ETL/ELT pipelines, implement Unity Catalog governance, integrate cloud storage and services, establish CI/CD, monitor platform health, troubleshoot production issues, and provide technical leadership and architecture guidance across data engineering, analytics, ML, and security teams.

The Statistician designs experiments for project evaluation, analyzes results, collaborates with teams, and documents findings in reports.

The Director of Data Science will lead credit risk modeling, oversee predictive modeling strategies, mentor data scientists, and ensure compliance with fair lending guidelines.

Deliver predictive analytics solutions; manage customer projects; collaborate across teams; promote analytics use in various industries; lead teams and provide analysis.

Lead end-to-end implementation of BI projects using Ab Initio, focusing on data warehousing and ETL solutions, involving design, architecture, and team collaboration within a banking context.

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.