Top Senior Data & Analytics Jobs in Atlanta, GA

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.

The Director of Pricing will lead pricing strategy, develop pricing models, collaborate across teams, monitor KPIs, and ensure regulatory compliance.

The Vice President of Data Strategy will lead the enterprise data strategy, managing AI/ML capabilities, ensuring data governance, and delivering insights to drive healthcare outcomes.

As a Senior Program Manager, you'll lead consumer data initiatives, ensuring tracking integrity and accessibility while collaborating across teams to implement data solutions and maintain quality standards.

The Director of Recruiting Analytics & Insights will lead recruiting analytics strategies, develop metrics, and partner with stakeholders to use data for informed recruitment decisions.

Deliver Databricks-based big data solutions for customers: design and build architectures, implement Spark workloads, consult on migrations, support production deployments, manage scope and timelines, and provide escalated technical support and training.

The role involves designing reports and dashboards for HR metrics using Power BI. It requires analyzing HR data, ensuring data quality, and collaborating with stakeholders. The position also includes supporting junior team members and maintaining data platforms.

The Sr. ETL Informatica Systems Engineer develops ETL applications for the EDW/BI program using Informatica tools, managing complex SQL and APIs.

Lead RPA (Risk, Performance, and Attribution) data domain, ensuring data integrity, managing product roadmaps, applying data modeling techniques, and driving data governance.

Lead data analysis and engineering: preprocess and transform large datasets, build statistical and ML models, design and analyze A/B tests, create reports and dashboards, and collaborate with product and business stakeholders to deliver data-driven solutions and propose innovative approaches.