Top Senior Analysis Reporting Jobs in Atlanta, GA

Build and maintain scalable batch, streaming, and real-time data pipelines, platforms, data lakes, warehouses, and lakehouses. Implement data quality, governance, security, observability, automation, and cloud modernization. Partner with product, engineering, analytics, data science, and business teams to deliver analytics, AI/ML, reporting, and customer insight solutions. Troubleshoot production issues, guide architecture, mentor engineers, and provide technical leadership across marketing data initiatives.

Lead complex data analytics projects for private equity and corporate clients across the deal lifecycle. Translate data into actionable insights using visualization and modeling tools, improve data quality, build predictive models, collaborate with cross-functional teams, coach staff, interact with clients strategically, and validate outcomes to drive deal decisions and performance improvement.

Designs and maintains enterprise data architecture, pipelines, ETL/ELT workflows, and financial data integrations using Snowflake, AWS, dbt, Informatica, and relational databases. Ensures data quality, develops reporting and dashboards, supports financial planning and analysis, and delivers technology projects end to end. Partners with Finance, Accounting, FP&A, and technology teams, contributes to Agile planning, mentors junior staff, applies AI-assisted tools, and improves data processes and analytical capabilities.

Designs and implements scalable enterprise data platforms across cloud, on-premises, and hybrid environments. Builds ETL/ELT pipelines, optimizes SQL and Spark workloads, develops feature-engineered datasets and machine learning workflows, and applies data governance, quality, monitoring, and CI/CD practices. Provides production support, technical documentation, architecture guidance, code reviews, and mentorship to data engineering teams.

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.

Designs, builds, and maintains scalable data infrastructure, streaming and batch pipelines, and data products. Works with stakeholders to model, transform, and deploy data solutions using cloud, streaming, and ETL frameworks while ensuring governance, observability, and automated CI/CD deployments.

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.

Uses advanced healthcare analytics to identify member and client needs, evaluate programs, develop predictive models and segmentation criteria, measure clinical, utilization, and financial outcomes, and guide product innovation and business strategy. Partners with clinical and business leaders, conducts applied research, develops analytical methodologies, addresses data limitations, and communicates findings through reports, white papers, conferences, and publications.

Develops credit card analytics strategies to grow partner relationships and customer engagement. Integrates and analyzes large data sets, applies statistical techniques and predictive modeling, builds secure data environments, evaluates measurement tools, and delivers actionable insights. Leads dashboard and performance metric development while collaborating with marketing, product, analytics, vendors, and other cross-functional teams.