Top Analysis Reporting Jobs in Atlanta, GA

Leads U.S. execution of the enterprise data governance model, including ownership, stewardship, classification, data quality, governance forums, and standards adoption. Facilitates cross-functional domain working groups, drives training and communications, manages exceptions and risks, strengthens data governance networks, and supports data governance for acquisitions. Requires extensive data governance experience, stakeholder communication, and the ability to influence without direct authority.

Leads U.S. securities data operations and supports the global operating model. Partners with trading, operations, compliance, risk, data owners, vendors, and offshore teams to ensure accurate, timely securities data. Oversees vendors, operational metrics, service levels, process improvements, transformation initiatives, and data governance. Performs hands-on data work when needed and applies expertise across equities, fixed income, and derivatives within front-to-back investment processes.

Maintains donor and patient data by resolving discrepancies, duplicate records, and deferrals. Contacts donors and third parties, modifies records, coordinates daily workflow, processes information requests, and supports compliance and quality standards. The role is onsite in Douglasville, Georgia, Tuesday through Saturday, with on-call home Wi-Fi requirements.

Lead analytics and data science initiatives to drive measurable business outcomes across various functions, including Underwriting and Claims. Oversee the full analytics lifecycle, foster stakeholder engagement, and mentor junior team members.

Coordinates AI and data governance across Innovation, IT, Security, Privacy, Legal, and business teams. Leads information governance assessments, evidence collection, remediation tracking, policy updates, data lifecycle standards, stewardship, privacy, retention, access, and DLP requirements. Maintains AI inventory and governance records, translates requirements into platform workflows, reports risks and progress, manages staff, and supports responsible AI adoption and compliance reviews.

Designs, implements, and maintains secure, scalable ETL pipelines, data warehouses, and Azure data environments. Responsibilities include developing SSIS and Azure Data Factory solutions, creating Azure DevOps CI/CD pipelines, testing and debugging code, documenting procedures, improving data infrastructure, managing projects, and supporting SharePoint sites. The role requires collaboration with stakeholders, strong SQL and database design skills, and independent problem-solving.

Design, implement, and optimize scalable graph database solutions. Create graph data models, optimize queries and indexing for large datasets, integrate graph DBs with enterprise systems and ETL pipelines, recommend technologies, ensure security and availability, and collaborate with engineering and business teams on graph use cases.

Leads cross-channel measurement strategy and analysis of digital media, web, and business performance. Builds Tableau dashboards and data pipelines, evaluates KPIs, ROI, customer acquisition costs, and lifetime value, and translates findings into actionable insights. Presents analyses through dashboards, deep dives, and infographics while collaborating with agency teams and clients.

Owns web and conversion analytics across the eCommerce journey. Analyzes customer behavior, funnels, campaigns, merchandising, retention, and commercial performance; builds dashboards and measurement plans; supports experimentation; validates tracking and data quality; develops forecasts and business cases; and presents actionable insights to senior leaders. Partners with cross-functional teams and mentors analysts while establishing analytics standards and best practices.

Design and govern the future-state enterprise data platform for the Medical Stop Loss business using Microsoft Fabric and Azure. Responsibilities include data architecture, dimensional and physical modeling, ingestion and integration patterns, data governance, quality, security, lineage, semantic models, and analytics enablement. The role guides data engineering and BI teams, modernizes legacy platforms, supports cloud migrations, and collaborates with business and technology stakeholders across regulated insurance operations.