Top Data & Analytics Jobs in Atlanta, GA

Lead and develop a team delivering data conversion for customer implementations. Drive adoption of AI and automation, manage complex/at-risk migrations, track KPIs, and improve processes through experimentation and transformation.

Leads a data engineering team responsible for designing, developing, and maintaining scalable data systems, pipelines, infrastructure, models, and automated reporting. Oversees cloud and big data solutions, data integration, architecture standards, and data readiness for analytics and AI. Partners with stakeholders to translate operational needs into technical solutions while managing team performance, coaching employees, and supporting organizational technology transformation.

Design, build, test, and maintain scalable, secure data pipelines and architectures. Update data models, advise on/configure tools, validate controls, use SQL/NoSQL, and apply enterprise AI capabilities to accelerate and validate data engineering workflows while ensuring traceability and data sensitivity handling.

Analyze complex datasets, develop data models, dashboards, and visualizations, and conduct predictive and statistical analysis for client decision-making. Collaborate with clients to deliver tailored analytics solutions, maintain data integrity, communicate insights through reports and presentations, and support data-driven operational strategies using SAS, Power BI, Tableau, and SQL tools.

Lead a team of data analysts to design and implement analytical models, dashboards, and self-service analytics. Identify business opportunities through deep data exploration, translate findings for stakeholders, collaborate cross-functionally to ensure data integrity, mentor junior analysts, and contribute to data governance and continuous improvement of analytics capabilities.

Build, test, deploy, and support reliable data pipelines serving client-facing websites and reports. Investigate data discrepancies, optimize data loading, improve data onboarding and integrity, and collaborate with global teams and business stakeholders. Participate in Agile delivery, release management, technical research, and proof-of-concept work. Provide reporting and data insights to senior partners.

Designs and supports large-scale cloud-native data platforms on AWS and Databricks. Builds batch, streaming, and real-time pipelines; engineers distributed processing with Spark; develops Lakehouse architectures using Delta Lake and Iceberg; modernizes Hadoop workloads; and implements automation, governance, security, observability, performance optimization, and cost management. Partners with architects, product managers, data scientists, and engineers to enable analytics, machine learning, and AI at petabyte scale.

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.

Analyze processes and operational data, gather and document business requirements, validate data, monitor KPIs, prepare reports and dashboards, recommend improvements, and support cross-functional implementation and project tracking.

Design, build, and maintain a Microsoft Fabric Lakehouse and Azure Synapse data warehouse. Develop and optimize ETL/ELT pipelines, dimensional/semantic models, and data quality checks. Tune SQL and Spark workloads, implement monitoring/alerting, handle production incidents, and integrate source systems and APIs. Partner with stakeholders, follow Agile practices, document runbooks, and participate in code reviews.