Top Senior Data & Analytics Jobs in Atlanta, GA

The Senior Principal Scientist at Alcon leads the development of contact lens materials and processes, utilizing expertise in polymer chemistry and formulation experiments to innovate products that improve vision.

Design, build, and optimize scalable ELT/ETL pipelines, data models, and observability for analytics. Lead architecture, mentor engineers, collaborate with stakeholders, and enable AI-ready data products supporting reporting and BI.

Lead client engagements to define objectives and deliver end-to-end decision science solutions using optimization, simulation, ML, and statistical modeling. Provide technical leadership, execute project plans, develop models, deploy solutions, and upskill clients and teammates.

Lead quota modeling, territory design, and commission planning; maintain Salesforce data and dashboards; leverage Gong/Clari and AI tools to improve forecast accuracy; produce executive-ready sales performance analysis; collaborate cross-functionally and drive continuous improvement in reporting and data governance.

Serve as a hands-on senior data steward for master data domains: define data requirements, monitor and remediate data quality, maintain metadata and CDEs, perform profiling and root-cause analysis, support MDM implementation, build dashboards and reports, and partner with data/product/technology teams to improve stewardship processes and controls.

Define and build the Solution Data Repository as an enterprise data platform: set technical vision, design ontologies and schemas, select tech stack, define APIs and integration patterns, lead implementation, enforce engineering governance, and align cross-functional teams to enable lifecycle continuity and enterprise-scale AI.

Design, build, and maintain scalable ETL/ELT pipelines and Snowflake schemas. Integrate REST APIs and event streams, orchestrate workflows (Airflow/Prefect/Dagster), implement data quality, lineage, CI/CD, Docker, and IaC practices, and ensure well-tested Python code and DataOps standards.

Lead SQL developer/DBA responsible for SQL programming and SQL Server administration. Perform advanced SQL, XML handling, data modeling, replication, and data propagation. Support PL/SQL integration and basic Java/J2EE tasks as needed to deliver database solutions.

Design, validate, and deploy advanced quantitative models and predictive analytics to improve efficiency, reduce costs, and increase revenue. Collaborate with business partners to gather requirements, perform big data analysis, run simulations, and produce reports. Support model verification/validation and deployment.

Design, build, and maintain scalable ETL pipelines, data marts, and lakehouse architectures in Databricks/AWS. Optimize SQL, model data, integrate solutions, use version control, mentor junior engineers, collaborate with stakeholders, and support analytics and BI needs.