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.

Leads a data engineering team responsible for designing, developing, and maintaining scalable data systems, pipelines, infrastructure, models, and automated reporting. Oversees cloud and big data solutions, data integration, architecture standards, and data readiness for analytics and AI. Partners with stakeholders to translate operational needs into technical solutions while managing team performance, coaching employees, and supporting organizational technology transformation.

Analyze complex datasets, develop data models, dashboards, and visualizations, and conduct predictive and statistical analysis for client decision-making. Collaborate with clients to deliver tailored analytics solutions, maintain data integrity, communicate insights through reports and presentations, and support data-driven operational strategies using SAS, Power BI, Tableau, and SQL tools.

Lead strategic deposit pricing analytics focused on CDs, elasticity testing, deposit trends, yield-seeking behavior, and macroeconomic impacts. Serve as the subject-matter expert on CD data, translate findings into executive presentations, build automated self-service dashboards, and partner with finance, pricing, marketing, risk, product, and branch teams. Monitor competitor pricing and economic trends to inform retail banking product decisions.

Designs and supports large-scale cloud-native data platforms on AWS and Databricks. Builds batch, streaming, and real-time pipelines; engineers distributed processing with Spark; develops Lakehouse architectures using Delta Lake and Iceberg; modernizes Hadoop workloads; and implements automation, governance, security, observability, performance optimization, and cost management. Partners with architects, product managers, data scientists, and engineers to enable analytics, machine learning, and AI at petabyte scale.

Leads enterprise data governance strategy, data quality standards, stewardship models, policies, metadata, lineage, classification, access controls, and lifecycle management. Partners with business and technical teams to resolve data quality issues, implement governance platforms, monitor KPIs, communicate risks, and maintain compliance with regulations such as HIPAA and GDPR.

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.

Design, build, and maintain Databricks-based data platform and ETL/ELT pipelines. Collaborate with stakeholders, implement data quality checks and testing, monitor pipeline performance, document architecture, and coordinate cross-functional teams.

Administer and monitor AWS PostgreSQL databases, optimize complex queries, review schemas and indexes, guide data architecture, support releases and infrastructure growth, and maintain RDS systems. The role also automates manual workflows using AI tools, collaborates cross-functionally, and mentors junior and mid-level engineers while establishing database best practices.

Own the Industrial platform’s data infrastructure, datasets, dashboards, models, and AI-enabled analytical workflows. Deliver investor and occupier business-development insights, supply-chain mapping, surveys, executive reporting, presentations, and pursuit support. Partner with Research, Sales Enablement, technology, operations, brokers, and leadership to improve data integrity, self-service reporting, platform capabilities, and automation. Coordinate cross-functional initiatives and translate quantitative analysis into actionable narratives for senior leaders and clients.