Top Data & Analytics Jobs in Atlanta, GA

Designs, builds, tests, deploys, and supports scalable data pipelines, integrations, data models, APIs, and reusable platform components. Owns solutions through monitoring and production support, optimizes performance and cost, implements testing, observability, security, governance, and CI/CD practices, and troubleshoots incidents. Partners with analytics, data science, architecture, product, and business teams while mentoring junior engineers and improving automation and data quality.

Organizes and analyzes construction and distribution data, improves data quality and workflows, supports standardized data structures and reporting, and identifies opportunities to automate manual processes. The role collaborates with cross-functional teams to implement practical digital solutions, develop dashboards, improve data accessibility, and support operational decision-making.

Leads commercial real estate research, analytics, forecasting, risk analysis, and market intelligence using diverse economic, financial, lending, and real estate data. Oversees research tools, models, databases, and quality processes; communicates findings through reports, presentations, webinars, podcasts, and client materials. Mentors team members, partners with Client Services, and standardizes analytical and reporting practices across the Research Group.

Leads JLL’s Atlanta and Southeast real estate research program, including market analysis, economic trend tracking, thought leadership, client presentations, media engagement, and research content development. Manages and develops a research team, partners with marketing and business leaders, supports sales and business development, and delivers market insights for clients. Requires deep commercial real estate knowledge, strong analytical and presentation skills, stakeholder management experience, and strategic leadership.

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.

Designs supply chain data governance frameworks, monitors data quality metrics, investigates discrepancies, and supports data cleansing across SAP ERP and WMS platforms. The role validates data integrity during migrations and integrations, develops SQL queries and Python automation, builds Power BI or Tableau dashboards, and partners with logistics, procurement, IT, and Enterprise Data teams to improve data pipelines and operational processes.

Develop and maintain Power BI dashboards and recurring reports; validate and reconcile data across systems; analyze patient, referral, authorization, dispensing, and operational workflows; monitor KPIs and service levels; investigate discrepancies; and translate findings into actionable recommendations for internal teams, clients, manufacturers, and leadership. The role also supports requirements gathering, user acceptance testing, reporting enhancements, QBR presentations, documentation, and process improvement.

Analyzes digital product performance across web properties using Adobe Analytics, Google Analytics, tagging systems, statistical modeling, and data visualization. Develops measurement requirements, tracking specifications, dashboards, and actionable insights for product and marketing teams. Troubleshoots tags and data collection, supports experimentation and quality assurance, establishes analytics standards, and mentors analysts while communicating findings to stakeholders.

Maintains and analyzes customer, item, and coding data using Oracle systems. Organizes, validates, and prepares electronic data updates; investigates data issues, develops corrective solutions, assesses business impacts, and processes reports. Collaborates cross-functionally to support customer master and national coding initiatives, project planning, and execution while ensuring data integrity and customer-focused outcomes.

Analyzes and maintains customer, item, and configuration master data using Oracle and Microsoft tools. Organizes and validates files for electronic updates, investigates data and process issues, evaluates business impacts, prepares reports, and supports cross-functional projects. Collaborates with business teams to ensure data integrity, accurate national coding, efficient processes, and customer-focused solutions.