Top Data & Analytics Jobs in Atlanta, GA

The Project Manager will define the product roadmap for data connectivity and AI initiatives, translating needs into requirements and collaborating with technical teams to implement data solutions.

Lead the design and migration of a data platform architecture. Manage data pipelines, mentor teams, and ensure platform reliability.

The Data Architect role involves defining data models, ensuring data integration and governance, and collaborating with teams to support analytics capabilities.

Entry-level data role (Analyst, Engineer, or Scientist track) working on supply-chain data to build dashboards, pipelines, and predictive models. Collaborate with product, operations, and engineering to answer business questions, maintain data quality, and translate insights into recommendations that impact operational decisions.

The role involves analyzing and presenting employee lifecycle trends, building dashboards, and providing insights to improve HR processes using data analytics tools.

Collects and normalizes data from multiple sources, analyzes trends and benchmarks, prepares spreadsheets, charts and reports, and provides recommendations. Documents data definitions and limitations, supports interdepartmental projects, and may train junior staff.

Design and govern Axiom's enterprise data model, enforce data governance and quality standards, administer Databricks, mentor/manage the Data Engineer, align data architecture roadmap with enterprise technology and AI strategy, and ensure documented, accessible, and reliable data assets across systems.

Design, build, and maintain supply chain and logistics reports, dashboards, and data models. Write and optimize SQL, validate data accuracy, automate recurring reports, establish KPIs, document reporting logic, and partner with stakeholders to translate business needs into scalable analytics solutions.

Lead operational analytics for Pricing Solutions by defining and owning KPIs, building dashboards, conducting root-cause analysis, and partnering with operations to design and implement data-driven process improvements that improve cost, quality, and throughput.

Support business operations through data analysis, reporting, systems administration, and process improvement. Troubleshoot enterprise applications, maintain data integrity, build SQL reports, assist with IPaaS integrations and Power BI development, document processes, track system changes, and identify automation opportunities while partnering across Product, Sales, Finance, Operations, Supply Chain, and Technology.