Top Data & Analytics Jobs in Atlanta, GA

Own workforce reporting and dashboards (headcount, turnover, hiring); support recurring and ad-hoc HR reports; use Claude and generative AI to automate reports and workflows; validate and improve Workday/HRIS data quality; produce visualizations and external reporting (ESG, surveys); document prompts and processes to improve HR productivity.

Design, build, and maintain enterprise analytics solutions, semantic models, and reporting datasets using Microsoft Fabric, Databricks, SQL, Python, and BI tools. Lead data modeling, data quality, CI/CD, and performance optimization; translate business requirements into scalable analytics; mentor engineers and collaborate with architects and stakeholders to deliver trusted, self-service and executive reporting across the Americas.

Lead data operations reporting and deep-dive analysis to improve data quality, customer experience, and operational health. Aggregate data from multiple sources, present actionable recommendations to leadership, partner with stakeholders on solutions and enterprise initiatives, and mentor junior team members.

Senior research leader for JLL REMS Americas who advises clients, translates market data into actionable insights, supports business development, embeds research into go-to-market strategies, represents regional perspective in global forums, identifies emerging topics, and applies AI-enabled tools to scale research and client engagement.

Lead creation and delivery of global consumption and purchase analytics to inform marketing and category strategies. Build reports, dashboards, and AI-enabled analytics, translate insights into recommendations, collaborate across marketing, insights, and commercial teams, and scale analytics through automation and productization.

Lead market sizing, forecasting, segmentation, and competitive analysis to produce executive-ready reports, dashboards, and strategic recommendations. Conduct primary and secondary research, support product positioning, pricing, and go-to-market planning, and present findings to senior leadership. Manage junior analysts and maintain market models and strategic databases.

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.

Design and implement a managed AWS data reference architecture, define layered (medallion) data models and governance (PII, access, lineage, residency), create reusable engineering patterns for ingestion, storage, transformation and serving, enable loose coupling from operational systems, set governance guardrails, and occasionally build data products hands-on.

Provide financial and situational analysis, build BI reports and dashboards, support ad-hoc and recurring reporting, analyze promotions/pricing/forecasting, and recommend process improvements to inform business decisions across Restaurant, Fuels, and Retail divisions.

Build and run an enterprise data governance program: create policies, standards, and controls; establish data use and de-identification programs (HIPAA-compliant); define ownership and stewardship; measure and remediate data quality; maintain governance artifacts; align cross-functionally; report and drive adoption and training.