Top Senior Data & Analytics Jobs in Atlanta, GA

Design, build, and maintain Workday integrations, data architectures, and reporting to support workforce planning and finance alignment. Deliver analytics, self-service reporting, and AI-enabled insights; partner with HR, Finance, and IT to enable accurate headcount forecasting, labor cost analysis, and automation of people-data processes.

Independently validate and assure enterprise data quality across source systems, ETL/ELT pipelines, data warehouses and reporting. Lead incident investigations, root cause analysis, test strategy, automated validation, regression and non-functional testing, data governance metrics, regulatory validation, and stakeholder collaboration to drive continuous improvement in data quality and controls.

Build, deploy, and operate Azure-based data integration and analytics solutions using Databricks, Delta Lake, ADF, and Synapse. Implement ingestion, transformation, data models, governance, performance optimization, CI/CD, and MLOps patterns while collaborating with architects, offshore teams, and business stakeholders.

Lead global multinational claims analysis and process improvement initiatives. Document system requirements, reconcile claims data, perform root-cause analysis, produce dashboards and reports, support reinsurance system integrations, and mentor operations staff to ensure compliant, efficient multinational claims workflows.

Lead design, development, and modernization of enterprise data platforms and cloud-native analytics solutions. Provide architecture guidance, mentor engineers, build scalable ETL/ELT pipelines, enable data governance, CI/CD/DevSecOps, and optimize performance across data lakes, warehouses, and analytics ecosystems while supporting client-facing technical efforts.

Lead and grow multidisciplinary teams to build scalable clinical data acquisition, engineering, governance, and product capabilities. Own data product strategy, SLAs, pipelines, and modernization using cloud-native tools and AI, while partnering with clinical, legal, and executive stakeholders to ensure compliant, discoverable, and trusted clinical data products.

Design, build, and maintain scalable AWS-based ETL and data pipelines using Python, PySpark, and SQL. Implement Glue, Lambda, Step Functions, and event-driven integrations (SNS/SQS). Optimize data lake/warehouse solutions (S3, Athena, Redshift), implement monitoring, validation, and error handling, support API/JSON integrations, troubleshoot operations, automate deployments, and mentor junior engineers.

The Senior Applications Analyst oversees Business Needs Assessments for Oracle Cloud ERP, optimizing applications and translating business requirements into system designs. Responsibilities include leading documentation, managing the application lifecycle, and collaborating with technical teams to ensure functionality and data integrity.

Design, build, and maintain ETL/ELT pipelines and API integrations to ingest, cleanse, transform, and analyze infrastructure and cloud data. Produce analytics, dashboards, and executive reports; automate workflows and support near-real-time processing. Follow SDLC/DevOps practices (Git, CI/CD), ensure data governance, quality, lineage, and support incident, release, and compliance activities.

Manage and secure the organization's data operations: administer and optimize relational databases, maintain Tableau dashboards, lead offshore DBAs/analysts, ensure HIPAA-compliant backups/recovery, support ETL/data ingestion pipelines, automate routine tasks, and collaborate with developers and data engineers to improve performance and data integrity.