Top Data & Analytics Jobs in Atlanta, GA

Leads and coaches a data engineering team while contributing hands-on to platform architecture, data modeling, ETL pipelines, data quality, and analytics solutions. Designs trusted facts, dimensions, snapshots, and slowly changing dimensions using Snowflake, Databricks, dbt, and Airflow. Partners with stakeholders, security teams, vendors, and cross-functional groups on data strategy and controls, resolves production issues, supports incident response, and develops engineering talent.

The Workday HCM Consultant will focus on functional and technical aspects of Workday HCM, particularly in financials, reporting, and integration. Healthcare experience is preferable.

The VP of Data Science & Strategy will transform complex business challenges into actionable growth strategies, leveraging data to influence decisions and drive company strategy.

Deliver reporting and visualization services within a Managed Services model, focusing on BI reporting initiatives across various corporate functions.

The role involves architecting and designing BI solutions using QlikView, leading teams, optimizing data models, and providing technology advisory services.

Deliver analytics, reporting, and data modeling to support POS, loyalty, pricebook, and operations. Build scalable data models and dashboards in Power BI/Databricks, partner with Data Engineering and vendors, monitor data quality and exceptions, automate processes, and provide actionable insights to stakeholders to improve performance and franchise outcomes.

The Head of Actuarial Pricing Analytics will lead the development of statistical models, enhance modelling processes, and drive AI adoption, while collaborating across teams to optimize pricing strategies for insurance products in North America.

The Digital Analyst will analyze and report on marketing data, provide insights, lead reporting processes, and mentor team members.

Design, build, and optimize modern Azure and Databricks data platforms for clients. Develop batch and streaming ingestion pipelines, lakehouse and medallion architectures, dimensional models, and transformation workflows. Lead discovery sessions, requirements workshops, architecture discussions, and solution reviews. Recommend practices for governance, lineage, monitoring, DevOps, security, and data modeling while translating business needs into scalable technical solutions and communicating with technical and executive stakeholders.

Leads data engineering for Payment Operations monitoring transformation. Designs and maintains Snowflake pipelines, tables, stored procedures, monitoring scenarios, KPI infrastructure, and data quality controls. Serves as the Snowflake subject matter expert, documents architecture and operational processes, guides technical partners, and translates business needs into scalable data solutions. The role requires production data engineering experience, advanced SQL, Snowflake expertise, job scheduling, pipeline operations, and stakeholder communication.