Top Senior Data & Analytics Jobs in Atlanta, GA

Lead end-to-end implementation of BI projects using Ab Initio, focusing on data warehousing and ETL solutions, involving design, architecture, and team collaboration within a banking context.

Lead a test team for data integration projects using Ab Initio, ensuring governance and quality for third-party testing while managing both functional and non-functional testing efforts.

Build, operate, and monitor ETL/ELT pipelines between marketing, sales, and operational systems into Databricks. Implement dimensional models, identity resolution, data quality checks, API integrations, and scheduled/event-driven syncs to support segmentation, attribution, and campaign activation. Maintain documentation, alerting, and runbooks.

Lead analytics and operational insights for Customer Operations: define core metrics, build dashboards and forecasts, model churn/renewal risk, enable self-serve reporting, implement AI-enabled automation, and partner cross-functionally to drive retention, expansion, and support efficiency.

The Visual Analytics Architect will develop and design dashboards using Qlikview, Tableau, Spotfire, and D3, while mentoring team members and analyzing application requirements.

The Visual Analytics Architect will design and develop reports and dashboards using Qlikview, Tableau, Spotfire, and D3, while supporting the team and analyzing application requirements.

The Senior Digital Commerce Analyst manages digital analytics, focusing on website performance, analytics integration, and developing KPIs for digital commerce strategies.

The Senior Data Scientist will design and implement AI solutions for supply chain problems, develop features, and collaborate with engineers and product owners.

Design, develop, and maintain enterprise data solutions and pipelines using Azure data platform and Microsoft Fabric. Support data modeling, master data management, medallion architecture, data quality, and integrations to produce trusted, scalable data for analytics and BI.

Lead revenue analytics and reporting to improve forecast accuracy, pipeline health, sales productivity, renewals/expansion insights, and executive reviews. Build dashboards, models, and narratives; automate reporting, govern metrics, support GTM planning, and apply AI to scale insights across Sales, CX, Finance, and executives.