Top Data & Analytics Jobs in Atlanta, GA

As a Senior Data Scientist, you will analyze product usage, develop frameworks for user behavior, build statistical models, and collaborate with cross-functional teams to derive actionable insights and influence decision-making.

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

Lead the development and deployment of data solutions with Palantir Foundry, driving projects, mentoring teams, and engaging with clients to solve complex problems.

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

The Senior Business Intelligence Analyst will enhance reporting capabilities, analyze data, and provide insights to internal and external clients, driving strategic decision-making and client success.

The Data Analytics Engineer will develop data models, perform data wrangling, and create dashboards to drive insights for business decisions at Bose Corporation.

The Revenue Operations Analyst will analyze revenue and consumer retention data, develop reporting systems, and provide insights to improve business strategy. They will collaborate with cross-functional teams and communicate findings to stakeholders.

Lead analysis of marketing performance and campaign ROI, build and maintain dashboards, deliver actionable insights, and collaborate with cross-functional teams to inform targeting, segmentation, and predictive modeling efforts.

The Data Engineer designs, builds, and maintains data systems, develops data products, and ensures efficient data processing for decision making.

The role involves coordinating client reporting, managing data submissions, supporting investor relations, enhancing operational efficiency through technology, and maintaining communication with team members and clients.

Support client engagements applying optimization, operations research, and AI-enabled analytics to logistics, transportation, warehousing, and distribution. Build models (LP/IP, network flow, heuristics, simulation), analyze messy data, design AI-enabled decision systems, produce client-ready deliverables, and collaborate with stakeholders to implement recommendations.

Support TRS division forecasting, produce data-driven insights, partner cross-functionally on bids and demand planning, lead special projects, build reports and scalable analytics, and drive process improvements.