Top Senior Data & Analytics Jobs in Atlanta, GA

The Manager of Media Analytics & Optimization will lead media performance measurement, drive insights for decision-making, and foster collaboration with senior stakeholders, while utilizing skills in analytics and AI.

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

The Senior Data Engineer designs and maintains data systems, develops data pipelines for ingestion and analysis, and optimizes data architecture to support business needs.

As a Senior Data Engineer, you will design and develop data pipelines, ensure data quality, and collaborate on advanced analytics projects within the Applied Research team at Cox Automotive.

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.

The role involves embedding with teams to drive data product onboarding, developing solutions, and enabling clients to self-serve data products with a focus on AI-assisted development and platform evolution.

Responsible for leading data engineering efforts, optimizing ETL processes, and ensuring data quality while collaborating with cross-functional teams to support business intelligence and analytics.

The Lead Data Engineer will oversee scalable data engineering projects, drive data quality, and support analytics across teams, ensuring actionable insights for business growth.

Lead data management for complex global clinical trials, ensuring quality and compliance while mentoring staff and driving process improvements.

Design and implement cloud-native Azure data architectures, data models, ELT processes, governance, and security. Collaborate with engineering, BI, and data science teams to optimize pipelines, ensure data quality, document designs, and support system stabilization for analytics and operational use cases.

The Director leads actuarial loss data analytics, manages product backlogs, ensures compliance, and fosters collaboration between reserving actuaries and data engineering teams in an Agile environment.