Top Senior Data & Analytics Jobs in Atlanta, GA

Lead a team to design, build, and maintain scalable cloud and big-data systems. Oversee streaming and batch pipelines, data architectures, ingestion, transformation (Spark), modeling, deployment pipelines, and stakeholder collaboration to deliver robust data products and analytics-ready platforms.

The role involves leading Quote-to-Revenue processes, mentoring junior team members, and ensuring quality deliverables in finance systems and billing operations.

This role focuses on post-sale technical execution, ensuring customer onboarding and deployment, driving customer consumption of products, writing production code, diagnosing issues, and expanding adoption across teams.

The Business Intelligence Sr Analyst executes data-driven analysis and builds AI-powered workflows to provide insights to Cox Automotive's leadership and clients, leveraging advanced data analytics and statistical methods.

Lead the design and implementation of enterprise-scale Knowledge Graphs and Semantic AI solutions, integrating graph intelligence and Generative AI. Manage cross-functional teams in data architecture and governance.

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.

The VP of Alternative Data Strategy drives sourcing, prioritisation, and implementation of alternative datasets, aligning data opportunities with investment strategies and governing data usage across teams.

The Senior Principal Data Analyst will lead data analysis initiatives, develop Power BI reports, ensure data quality, mentor junior analysts, and collaborate with business leaders to drive insights and decisions.

The Senior Analyst executes customer decisioning strategies, monitors performance reporting, collaborates with strategy owners on KPIs, and conducts data analysis while adhering to governance standards.

Analyze operational and supply chain data to identify productivity, quality, and cost improvement opportunities. Design and support adoption of supply chain systems across distribution centers, build ETL/data pipelines and decision-support tools, perform data modeling and visualization, document requirements, train users, and collaborate with stakeholders and consultants to drive technology-driven process improvement.