Top Analysis Reporting Jobs in Atlanta, GA

Leads development of Navanta’s secure data backbone, including lakehouse architecture, bank-system ingestion, CDC pipelines, semantic modeling, data quality, reconciliation, observability, governance, and lineage. Partners with AI/ML, security, and platform teams to deliver reliable, queryable data products for financial institutions. Owns data contracts, access controls, regulatory data handling, pipeline SLAs, bank onboarding, and on-call reliability operations.

Leads enterprise customer experience analytics, reporting, forecasting, automation, AI-assisted operations, and digital self-service initiatives. Builds dashboards, workforce models, retention insights, and containment strategies while partnering with CX, IT, Product, Claims, and AI teams. Drives contact center efficiency, customer retention, and service improvements, and helps establish a scalable Innovation & Analytics function.

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.

Design and maintain scalable cloud data pipelines, ELT/ETL workflows, ingestion frameworks, and data models supporting cloud cost visibility and optimization. Use Python, SQL, dbt, Airflow, AWS services, and Snowflake to deliver reliable, auditable, cost-efficient data systems. Partner with Engineering and Finance stakeholders, optimize performance, ensure data quality, and support usage-based decision-making.

Leads Cisco’s Americas Business Intelligence and Analytics organization supporting Sales Strategy, Planning, and Operations. Sets vision and roadmaps, manages analysts, AI engineers, and data scientists, modernizes analytics, drives automation, develops enterprise dashboards and data models, and advises executive leadership. Partners cross-functionally to translate business needs into actionable insights while leveraging AI, visualization, and sales systems to improve field performance.

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.

Analyze and validate purchasing-process data, translate findings into recommendations, build dashboards and reports, and responsibly use AI tools. Collaborate with stakeholders, manage multiple tasks, complete a capstone project, and present insights to a large audience.

Analyzes and corrects claims data errors, investigates root causes, evaluates business impact, and recommends long-term data quality improvements. The role manages claims corrections using business rules, resolves exceptions across systems, collaborates with claims administrators, programmers, vendors, and business teams, and produces ad hoc reports. Strong SQL skills and insurance claims knowledge are required; Snowflake experience is preferred.

Build and maintain BI reports, dashboards, visualizations, audience segments, and analytics solutions for convenience retail, petroleum, and mobile payment customers. Translate customer needs into requirements, prepare and validate data using SQL, support CRM campaigns, analyze program performance, troubleshoot data issues, and optimize BI solutions on Azure. Collaborate with marketing, CRM, technical teams, project managers, and customers while documenting and testing delivered solutions.