Top Analysis Reporting Jobs in Atlanta, GA

Perform data extraction, cleaning, transformation, and statistical analysis to build models and identify trends. Develop and maintain interactive dashboards and reports (Tableau/Power BI/Looker). Collaborate with cross-functional teams, support ad-hoc analyses, document data processes, and contribute to data modeling and governance.

Design and build data infrastructure, pipelines, and integration solutions using cloud and big-data tools. Develop data lakes/warehouses, ensure data quality and security, apply data modeling and DAGs, use Databricks, Airflow, and Hadoop, and collaborate with clients to deliver actionable insights.

The Principal, Data Engineering leads the design and development of data systems, improving data pipelines, infrastructure, and modeling for analysis and decision-making.

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.

This role focuses on post-sale technical execution, ensuring customer onboarding and deployment, driving customer consumption of products, writing production code, diagnosing issues, and expanding adoption across teams.

The Business Intelligence Sr Analyst executes data-driven analysis and builds AI-powered workflows to provide insights to Cox Automotive's leadership and clients, leveraging advanced data analytics and statistical methods.

Partner with stakeholders to define measurable project objectives, analyze current state and design future state, simplify complex topics, recommend workflow and technology optimizations, collaborate with SMEs and engineers to prioritize execution, maintain cross-firm relationships, manage stakeholder communications, and monitor global finance and technology trends affecting BlackRock.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

Support the Discovery research pillar by installing and configuring research applications and datasets, maintaining server environments and IAM permissions, troubleshooting SaaS analytics platforms, operating and optimizing data pipelines and large data models, ensuring data quality and disaster recovery, documenting systems, and collaborating with IT and business stakeholders to enable analytics and reporting.

Lead design and governance of enterprise ontologies and knowledge graphs, architect an AI-ready semantic layer integrated with Snowflake, define standards and processes, collaborate with data governance and analytics teams, document semantic models and metrics, and monitor semantic system performance for AI and BI use cases.