Top Senior Data & Analytics Jobs in Atlanta, GA

Leverage data analytics, business intelligence, and data science techniques to deliver strategic insights and solutions for clients. Build reports, dashboards, data pipelines, visualizations, and data architecture using tools such as Oracle BI, QlikView, Spotfire, and BIRT. Ensure data quality, manage stakeholder relationships, improve analytics processes, interpret complex datasets, and mentor junior team members while contributing to client projects and business strategy.

Develop and execute pricing strategies for the logistics and transportation business. Build predictive pricing models, dashboards, automated tools, and APIs; analyze demand, margins, market conditions, customer segments, competition, fuel costs, and customer mix. Partner with Sales, Finance, and Operations to optimize rates and bids, conduct sensitivity analyses, monitor pricing performance, and present recommendations to senior leadership.

Designs, builds, administers, and supports cloud data architectures, databases, schemas, metadata repositories, ETL processes, and analytic models. Leads data quality, governance, troubleshooting, testing, automation, reporting, dashboards, and infrastructure design. Collaborates with Agile teams to translate business requirements into technical capabilities and supports decision-making for Audit and business management. The role is full-time onsite at an eligible Federal Reserve location and requires extensive security screening.

Lead strategic deposit pricing analytics focused on CDs, elasticity testing, deposit trends, yield-seeking behavior, and macroeconomic impacts. Serve as the subject-matter expert on CD data, translate findings into executive presentations, build automated self-service dashboards, and partner with finance, pricing, marketing, risk, product, and branch teams. Monitor competitor pricing and economic trends to inform retail banking product decisions.

Leads enterprise data governance strategy, data quality standards, stewardship models, policies, metadata, lineage, classification, access controls, and lifecycle management. Partners with business and technical teams to resolve data quality issues, implement governance platforms, monitor KPIs, communicate risks, and maintain compliance with regulations such as HIPAA and GDPR.

Lead the design and implementation of enterprise-scale Knowledge Graphs and Semantic AI solutions, integrating graph intelligence and Generative AI. Manage cross-functional teams in data architecture and governance.

Designs, builds, and maintains scalable data infrastructure, streaming and batch pipelines, and data products. Works with stakeholders to model, transform, and deploy data solutions using cloud, streaming, and ETL frameworks while ensuring governance, observability, and automated CI/CD deployments.

Leads advanced analytics for wireless offer performance and investment efficiency. Analyzes diverse data sources, evaluates profitability, customer quality, spend, growth, and forecast accuracy, and applies statistical, predictive, trend, and scenario modeling. Develops test-and-learn frameworks, dashboards, scorecards, and executive insights. Partners with Offer Strategy, Finance, Marketing, and leadership to guide offer design, targeting, pricing, budget allocation, forecasting, OEM negotiations, and investment decisions.

Leads client and sales analytics supporting go-to-market strategy, segmentation, campaign targeting, sales coverage, and advisor prioritization. Develops dashboards, data products, and business intelligence solutions using modern analytics tools. Partners with distribution, marketing, product, data science, and technology teams to translate business questions into scalable solutions, influence executives, and drive adoption of data-driven decisions.

Leads the Underwriting Data Engineering team and oversees the design, development, and productionization of scalable data and machine learning pipelines. Responsibilities include feature engineering, data preparation, model deployment, data validation, governance, monitoring, API integration, analytic data products, roadmap development, stakeholder collaboration, and team coaching.