Top Senior Data & Analytics Jobs in Atlanta, GA

Performs advanced risk analytics, reporting, data management, visualization, and modeling to identify portfolio trends, risks, control gaps, and business opportunities. Develops SQL-based datasets, dashboards, and executive reporting; investigates data quality and control issues; supports regulatory requirements; and partners with senior stakeholders on strategic initiatives. Uses automation and approved AI tools to improve analytical efficiency, process effectiveness, and risk-management outcomes.

Designs, builds, tests, and supports enterprise data pipelines and Snowflake archival solutions for acquisitions, integrations, reporting, compliance, and analytics. Translates business and technical requirements into mappings, transformations, quality rules, and deployment plans. Collaborates with architecture, security, infrastructure, application, business, and vendor teams. Oversees validation, monitoring, documentation, cutover, go-live readiness, hypercare, and operational handoff while improving reusable, secure, cost-efficient data engineering practices.

Designs and supports claims data pipelines, integrations, ETL/ELT processes, reporting infrastructure, BI architecture, and automation solutions. Develops claims data models and analytics for segmentation, triage, assignment, and workflow optimization. Supports cloud platforms, AI-enabled predictive analytics, governance, validation, system integrations, testing, and deployment. Partners with Claims, IT, Finance, SIU, and Data teams to improve data accessibility, operational visibility, and reporting accuracy.

Conducts qualitative and quantitative evaluations of public health emergency responses and preparedness exercises. Develops evaluation plans, analyzes data, monitors data quality, identifies capability gaps, and produces reports, dashboards, visualizations, briefings, and recommendations. The role coordinates data requests, supports decision-making, communicates findings to varied audiences, maintains analytic documentation, and applies statistical learning and public health analytics in high-tempo emergency environments.

The Senior Data Analyst supports Risk Management and Compliance reporting by collecting, validating, analyzing, and modeling data. The role develops dashboards, reports, visualizations, governance practices, and automation using SQL, Excel, Power BI, SSAS, and VBA. Responsibilities include data quality management, systems testing, requirements documentation, UAT support, executive presentations, risk insights, stakeholder collaboration, process improvement, and mentoring junior analysts.

Supports data governance for acquired-company integration and transformation initiatives. Responsibilities include inventorying structured and unstructured data, documenting ownership, classification, retention, legal holds, privacy, quality, metadata, lineage, and stewardship requirements. The role maintains catalogs and glossaries, supports source-to-target mapping and reconciliation, prepares governance metrics and dashboards, and coordinates with business, technology, legal, privacy, risk, security, and implementation teams to ensure data is trustworthy, compliant, and ready for migration, archival, modernization, and analytics.

Owns business intelligence and data management for investment operations, developing Power BI dashboards, DAX and Power Query models, Snowflake reporting data, and secure data access. Leads strategic business initiatives, workflow improvements, technology enhancements, AI and LLM automation, stakeholder reporting, vendor coordination, requirements gathering, and project execution. Serves as the subject matter expert for data, reporting, client portals, metrics, and internal technology initiatives.

Designs, develops, and supports enterprise business intelligence solutions using Power BI and Qlik. Creates scalable dashboards, reports, and analytics to support business decisions; gathers stakeholder requirements; translates business needs into technical solutions; and maintains BI environments for performance, reliability, and data quality. The role may also apply AI-enabled analytics such as natural-language querying, anomaly detection, and automated reporting.

Leads customer segmentation, personalization, and customer master data strategy. Develops models, personalization roadmaps, data governance practices, and unified customer profiles to support targeted marketing and customer experience initiatives. Partners with CRM, marketing, analytics, technology, and operations teams; monitors KPIs; ensures data quality and privacy compliance; and manages a team of insights analysts and specialists.

Designs and leads cloud-native AWS data architecture for Medicaid and healthcare domains. Responsibilities include developing enterprise and domain data models, canonical models, metadata governance, data mappings, data quality and mastering processes, AWS prototypes, operational data stores, and implementation strategies. The role collaborates with governance committees, business owners, architects, developers, database administrators, and implementation teams while supporting compliance with PHI and PII protection requirements.