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

Key role in quantifying and communicating the value of Included Health to clients, translating data into actionable insights, collaborating with teams, and developing data models and analyses.

The Database Engineer at sFOX will design, build, and maintain high-volume RDBMS systems for real-time trading applications. The role involves collaborating with software engineers, resolving complex database issues, and enhancing data management standards. Strong knowledge of MySQL and experience in transaction-heavy systems are crucial.

Looking for a Senior Oracle Database Administrator with Oracle Goldengate 21c Microservices experience to deploy and maintain database clusters, automate tasks, optimize code, and participate in on-call rotation. Must have experience in Oracle 12c/19c, Data Guard, performance tuning, and PL/SQL programming.

The Staff Data Engineer will lead the development of scalable data architectures and pipelines, mentor junior engineers, build ETL/ELT processes, manage data warehouses, and implement cloud-native solutions while ensuring robust data governance and performance optimization.

As a Staff Data Analyst at Vercel, you will transform data into actionable insights, establish key business metrics, automate reporting, collaborate with stakeholders, and develop analytics models to drive company growth and operational efficiency.

The Senior Analyst will provide insights into the data center industry through market trend analyses, competitive intelligence, and data analysis. Responsibilities include monitoring competitors, analyzing industry reports, and collaborating with various departments to support strategic decision-making and growth initiatives.

The Senior Data Scientist will develop and deploy lead scoring and recommendations models to increase sales call conversion rates, work with business stakeholders to prioritize data modeling projects, establish best practices for model performance evaluation, mentor team members on ML projects, and guide data modeling needs for machine learning systems.