Top Senior Level Analytics Jobs in Atlanta, GA

The SAS Analyst/Developer will develop and maintain SAS programs, leverage Python for data workflows, and collaborate with teams to translate business requirements into analytical solutions. Responsibilities include data validation, cleansing, optimizing processes, and documenting methodologies.

As a Senior Data Engineer (AI), you will design and maintain data pipelines, manage infrastructure, and integrate AI/ML applications. This role involves collaboration across teams to enhance data-driven decision-making and cybersecurity solutions.

The Senior Manager of Data and Analytics leads a team to deliver actionable insights and comprehensive reporting. Key responsibilities include overseeing data integrity, developing reporting frameworks, and managing data architecture. This role fosters data-driven decision-making across the organization and collaborates with various departments to ensure data needs are met efficiently.

The Data Conversion and Migration Lead will oversee data migration activities, including developing data cleansing strategies, managing data migration security, and coordinating data validation efforts. This role involves supporting the transition to a new financial system, ensuring accurate data flow, testing migration plans, and documenting all activities.

The Senior Analyst for Sales Incentive Compensation will manage the full cycle of sales incentive plans, ensuring accurate calculations and reporting. Responsibilities include reconciling commissions, handling inquiries from the sales team, and supporting compliance projects while identifying process improvements.

The role involves analyzing a variety of structures including metallic and reinforced concrete structures for small modular reactors. Responsibilities include executing and documenting static and dynamic analyses, reviewing designs, preparing deliverables, and supporting licensing documentation. The role requires familiarity with various software and codes relevant to structural analysis.

The Practice Manager for Data Science, AI, and ML will lead a team of experts to deliver professional services, ensuring successful customer engagements. Responsibilities include acting as a technical liaison, guiding teams through projects, educating clients on data science solutions, and supporting cloud migrations. The role requires building strong customer relationships and delivering training to ensure client and team knowledge.