Top Data & Analytics Jobs in Atlanta, GA

Lead the design and delivery of scalable batch and real-time data pipelines across AWS, Snowflake, PostgreSQL, MongoDB, dbt, and Kafka. Establish standards for data modeling, governance, security, testing, observability, and reliability. Build trusted datasets and semantic layers for BI, analytics, AI/ML, RAG, and LLM applications. Drive platform optimization, data integration, MDM, technical strategy, mentoring, and cross-functional collaboration.

Designs and maintains production data pipelines, models claims and operational data, and improves reliability through testing, monitoring, and alerting. Owns workflow troubleshooting, backfills, performance optimization, documentation, access controls, and CI/CD practices. Partners with business and technical teams to define requirements and deliver trusted datasets using SQL, Python, cloud data warehouses, and orchestration tools.

Build and optimize scalable data pipelines and cloud infrastructure using Azure, Snowflake, dbt, Python, and orchestration tools. Integrate diverse data sources, develop automated ETL/ELT workflows, implement CI/CD and testing, and support data governance, security, and documentation. Collaborate with analytics engineers, data scientists, researchers, and stakeholders to create data models supporting analytics, machine learning, visualization, and cancer research initiatives.

Leads reporting, analytics, and data infrastructure activities supporting U.S. business units. Supervises analysts, standardizes KPIs and reporting, ensures data quality, coordinates data engineering and governance with IT, supports M&A integrations, and oversees dashboards, financial reporting, dataflows, and analytics resources. Requires strong Power BI, Excel, SQL or R, automation, BI operations, and stakeholder-management skills.

Produces scheduled reports, data refreshes, business review materials, incentive reconciliations, and health-score updates. Maintains data hygiene, version control, and reporting accuracy while identifying anomalies and supporting root-cause analysis. Develops analytical expertise and performs initial analyses under manager guidance. The role requires strong Excel skills, attention to detail, reliable deadline management, and exposure to SQL or BI tools.

Own and build end-to-end BI data products: design data models, validate data, create dashboards from ticketing, fundraising, and marketing sources, onboard and partner with clients, and drive analytics-led insights.

Designs trusted Snowflake data products and enterprise semantic models that standardize business concepts, metrics, relationships, and rules. Builds Cortex semantic views and agents, validates AI-generated results, develops regression tests, and maintains metadata, lineage, and documentation. Leads modeling initiatives from discovery through production while partnering with business and technical stakeholders to improve analytics, automation, and AI consistency.

Leads enterprise analytics initiatives, partnering with senior leaders to define business questions, analyze complex datasets, conduct experimentation, develop dashboards, automate reporting, and deliver data-driven recommendations. The role influences growth, customer experience, operations, risk, technology, and banking decisions while mentoring analysts and advancing enterprise analytics capabilities.

Develops and delivers advanced analytics supporting global category performance, innovation strategies, business planning, and long-term roadmaps. Creates reports, identifies trends, translates data into recommendations, and applies AI and automation to scale analytics delivery. Partners with category, marketing, innovation, commercial, and strategy teams to drive adoption, improve tools, embed consumer and competitive insights, and support data-driven decision-making across a global organization.

Designs and leads enterprise database architectures, data models, integrations, governance, and performance initiatives. The role supports scalable and secure SQL Server environments, cloud platforms, data warehouses, ETL processes, reporting, analytics, and transportation safety data systems. Responsibilities include optimization, security, backup and recovery, documentation, technical standards, and collaboration with software engineering and business teams. The position requires strong relational database, SQL development, administration, and enterprise data modeling expertise.