Top Data & Analytics Jobs in Atlanta, GA

Leverage data analytics, business intelligence, and Python to deliver strategic insights and tailored solutions for clients. Build reports, dashboards, data pipelines, and support data architecture and quality initiatives. Analyze data from multiple sources to identify trends, improve operations, and inform decision-making. Collaborate with stakeholders and team members while continuously developing technical skills and contributing to process improvements.

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.

Leads technology, data, automation, analytics, and applied AI solutions supporting investment manager research across public and private markets. Translates business requirements into scalable production systems, develops applications and dashboards, improves data quality and governance, and prototypes AI/LLM capabilities. Partners with research, investment, data, technology, operations, and vendor stakeholders while managing complex initiatives, controls, priorities, and adoption.

Analyze and validate data from the car purchasing process, translate findings into recommendations, build dashboards and reporting solutions, and responsibly use AI tools. The intern will collaborate with stakeholders, manage multiple projects, complete a capstone project, and present results. The role provides mentorship and hands-on analytics experience in an in-office environment.

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.

Collects, processes, and analyzes moderately complex datasets to identify trends and actionable insights. Builds and maintains automated reports, dashboards, and data visualizations; performs statistical analysis and validation; improves reporting processes; and collaborates with cross-functional, technology, and data engineering teams to ensure data accuracy and support business decisions.

Own and maintain complex datasets, data processes, and client-facing dashboards. Partner with account, strategy, operations, and product teams to deliver data products, identify analytics opportunities, and improve business intelligence capabilities. Lead cross-functional project engagements, developing team processes and client deliverables while translating client requirements into effective data solutions.

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.

Analyzes business processes, systems, and large datasets to align technology solutions with business needs. Develops complex SQL queries, stored procedures, reports, dashboards, and data validation processes. Identifies discrepancies, trends, data-quality issues, and root causes while supporting data migration and integration initiatives. Collaborates with stakeholders to define requirements, documents business rules, tests and debugs applications, and recommends process improvements. The role may include after-hours on-call support and requires onsite work three or more days weekly.