Top Analysis Reporting Jobs in Atlanta, GA

Designs, builds, and supports enterprise data platforms, pipelines, semantic models, reporting datasets, dashboards, and analytical applications. The role establishes data quality, testing, automation, observability, CI/CD, governance, and release practices; contributes to scalable architecture; supports production analytics; and partners with technical and business stakeholders to deliver trusted insights. The position also involves mentoring, defining KPIs and semantic models, modernizing reporting platforms, and ensuring privacy, security, and compliance.

Develops, optimizes, and maintains conceptual and logical data models and database solutions. Responsibilities include database security, backups, migrations, system installation and configuration, performance testing, troubleshooting, data flow design, and requirements analysis. Provides internal training and client support while ensuring database procedures meet organizational standards. The role also requires strong communication, problem-solving, client service, and collaboration skills.

Designs and optimizes scalable data pipelines, architectures, models, and schemas for consulting clients. Leads data engineering initiatives, translates business requirements into technical solutions, improves data reliability and automation, mentors engineering teams, and communicates with technical and business stakeholders. Supports project planning, proposals, estimates, and solution delivery across life sciences, consumer products, and retail engagements.

Designs and delivers scalable, full-stack data solutions across collection, ingestion, processing, storage, access, and delivery. Builds ETL/ELT pipelines, data models, reporting and analytics systems, and secure data architectures. Supports AI and machine-learning systems, optimizes performance, resolves production issues, establishes data standards, and integrates enterprise and graph technologies. Requires extensive data engineering, architecture, analysis, clearance, and specialized platform experience.

Lead the architecture and development of UKG’s Unified FinOps Data Platform. Build scalable cloud-native data products and pipelines for cloud billing, usage, cost allocation, forecasting, optimization, reporting, and unit economics across AWS and GCP. Establish governance, data quality, lineage, observability, CI/CD, and infrastructure-as-code standards. Support AI-enabled forecasting and optimization, collaborate with Finance and Engineering stakeholders, mentor engineers, and drive adoption of self-service reporting.

Leads research, data management, GIS and spatial analysis, market intelligence, impact measurement, and data visualization for Downtown Atlanta. Translates economic, demographic, real estate, geographic, and development data into actionable recommendations supporting planning, economic development, investment, placemaking, transportation, and organizational strategy. Manages data providers, develops dashboards and maps, supports strategic projects, engages stakeholders, and communicates findings through presentations, reports, and data-driven narratives.

Own the architecture and operation of distributed data systems for real estate analytics. Responsibilities include database and schema design, query optimization, high-throughput ETL/ELT pipelines, data integrity, observability, profiling, system performance, and technical leadership. The role involves building scalable systems with Python, Kafka, Kubernetes, PostgreSQL, and ClickHouse while mentoring engineers and documenting architectural decisions.

Leads supply chain business intelligence, operational reporting, and advanced analytics for distribution operations. Develops SQL analyses, Power BI dashboards, data strategies, KPI governance, and decision-support tools to improve cost, service, quality, safety, labor productivity, and network performance. Partners with executives and cross-functional teams, oversees analytics projects, and coaches analysts while translating operational challenges into actionable insights.

Summer 2027 HFA intern supporting investor relations and capital-raising analytics. Responsibilities include modeling investor engagement, analyzing capital flows, forecasting new capital, building AUM and engagement dashboards, identifying communication preferences, preparing leadership reporting, and reconciling CRM data with investment schedules. The role uses SQL, Python, Excel, Hex, CRM tools, and AI assistants while partnering with Finance, Operations, Engineering, and HFA leadership.

Serves as a hands-on technical lead for enterprise data engineering across multiple value streams. Designs and implements data pipelines, ETL/ELT processes, warehouses, marts, models, and integrations across cloud and on-premises systems. Makes technical design decisions, conducts code reviews, solves complex engineering challenges, establishes best practices, mentors engineers, and partners with architects, product owners, analysts, and stakeholders to deliver scalable, secure, reliable data solutions.