Top Hybrid Data & Analytics Jobs in Atlanta, GA

As a Senior Associate in Data Engineering at PwC, you will design and implement data architecture strategies, analyze complex issues, mentor junior members, and build client relationships while ensuring adherence to project standards.

The Senior Enterprise Applications Engineer designs and maintains data architecture and pipelines, supports financial reporting, manages projects, and mentors junior members while utilizing business intelligence tools and emerging technologies.

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.

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

As a Data Engineer, you will optimize data platforms using Microsoft technologies, support clients in data challenges, and implement data solutions.

The Global Indirect Tax Automation Manager will manage third-party tax systems and custom billing system implementations, focusing on requirements gathering, design, build, and testing.

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 Principal Business Intelligence Analyst drives operational excellence by delivering data insights and supporting global Product Management and Engineering teams using data analytics, reporting, and KPI development.

Operate and support critical data pipelines and infrastructure, troubleshoot production data issues, perform root cause analysis, implement automation and monitoring, own incident management and on-call rotation, and create support documentation to ensure reliable, timely, and consumable data for stakeholders.

The Data Engineer will design scalable data architectures, implement data pipelines, and collaborate with teams to enhance AI/ML solutions for industrial customers, ensuring data quality and efficient workflows.