Top Remote Senior Level Data & Analytics Jobs in Atlanta, GA

As Privacy, AI and Data Protection Counsel, you will work closely with the Global Privacy Officer to manage privacy, data protection, and AI compliance programs. Responsibilities include providing compliance guidance, reviewing agreements, advising on privacy-related issues, and staying updated on global regulations.

The Data Engineer will support analytics initiatives by developing and maintaining data pipelines, interacting with engineering teams in China, and ensuring data quality. Responsibilities include building scalable data warehouses, optimizing existing pipelines, and collaborating with leadership and stakeholders on data needs.

The Sr. Credit Risk Analyst will develop and optimize credit strategies using advanced analytics, machine learning, and statistical models to manage and reduce credit risk. Responsibilities include designing A/B tests, conducting loss forecasting, collaborating with various teams, analyzing portfolio performance, and ensuring compliance with regulations.

The Splunk/Cribl Architect will lead the design and implementation of an enterprise data analytics suite for federal customers, focusing on Splunk and Cribl technologies. Responsibilities include architecting hybrid cloud/on-prem solutions, maintaining and administering systems, and collaborating with SOC teams to drive security content requirements.

As a Senior Analytics Engineer, you will build and maintain data models and the analytics stack. Responsibilities include writing SQL for DBT, collaborating on data models, troubleshooting and scaling reports, and applying software engineering practices to enhance data discovery and organization.

As a Data Engineer, you will manage data transfers and ensure the security and health of the infrastructure while utilizing ETL technologies. Responsibilities include automating configuration management, developing solutions for data challenges, and engaging with teams to drive innovation in data architectures.

As a Data Engineer at Strike, you'll build and maintain scalable data pipelines, collaborate with analysts, improve data infrastructure, and educate the business on best data practices while supporting a fast-paced startup environment.