Top Senior Analysis Reporting Jobs in Atlanta, GA

Lead and develop a team delivering data conversion for customer implementations. Drive adoption of AI and automation, manage complex/at-risk migrations, track KPIs, and improve processes through experimentation and transformation.

The Analytics Engineer will enhance data assets, develop data models, optimize BI infrastructure, manage cross-functional partnerships, and ensure data quality through anomaly detection and documentation.

Lead deal-diligence analytics for private equity and corporate clients, translating complex and third-party data into actionable insights across the deal lifecycle. Oversee multiple projects, drive business development, mentor teams, improve post-deal performance, and develop data integration, visualization, and quality solutions using tools like Alteryx, Power BI, and Tableau.

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.

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.

The VP of Alternative Data Strategy drives sourcing, prioritisation, and implementation of alternative datasets, aligning data opportunities with investment strategies and governing data usage across teams.

Lead a team to design, build, and maintain scalable cloud and big-data systems. Oversee streaming and batch pipelines, data architectures, ingestion, transformation (Spark), modeling, deployment pipelines, and stakeholder collaboration to deliver robust data products and analytics-ready platforms.

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.

Hybrid Data Engineer / Business Analyst to design data contracts, map procurement data to OCDS, build Databricks/Spark pipelines, enforce data quality and governance, and translate stakeholder requirements into production-ready data products and validations.

Lead enterprise data strategy, governance, and operating model to make data a strategic asset. Drive data product lifecycle, stewardship, quality, MDM, platform alignment, AI readiness, ROI tracking, and cross-functional change management to improve data quality, compliance, and business value.