Top Hybrid 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 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 Revenue Analytics Lead will optimize analytics for sales growth, manage forecasts, and drive insights for enhancing sales productivity and customer experience.

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.

As a Senior Financial Analyst at MongoDB, you'll handle financial planning and analysis, support decision-making, and improve operational effectiveness by building financial models and conducting detailed analyses.

The Analytics Engineer will build and maintain data pipelines, develop data models, and ensure data accuracy for analytics and reporting.

The Director leads a team in translating data into actionable insights for clients, managing high-performing teams, and applying business acumen in complex deal scenarios.

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.

Lead data mapping efforts for migrating data from legacy systems to Snowflake, authoring technical blueprints and ensuring feasibility between business and engineering teams.