Top Data & Analytics Jobs in Charlotte, NC

Lead design and delivery of enterprise-scale, hybrid data architectures; advise senior leadership; modernize legacy systems; define patterns for application, analytics, workflow, and AI workloads; mentor teams; balance scalability, security, TCO, and ROI while enabling migration to target architectures.

Lead design and implementation of enterprise internal employee fraud detection rules and proactive monitoring. Use advanced analytics (SAS, SQL) to identify emerging threats, recommend rule enhancements, and partner with senior leaders, Risk, Compliance, and Technology to ensure effective, auditable controls and scalable detection solutions.

Lead design, build, and operate reusable, secure, cloud-native data platforms on Google Cloud. Develop ingestion/transformation frameworks (batch/stream), orchestration (Composer/Workflows), shared libraries (Python/SQL/Beam), data modeling, governance-by-design, observability, cost/performance optimization, and enable self-service data consumption across teams.

Lead analytics and performance measurement for the national branch network. Develop and maintain productivity metrics, dashboards, and scorecards; analyze trends; deliver executive-ready insights; partner with data, product, finance, and compensation teams; and lead strategic initiatives to improve branch performance and incentive effectiveness.

Lead design and implementation of enterprise proactive monitoring rules to detect internal employee fraud. Develop, execute, and maintain rule-based detection strategies; analyze large datasets using SAS and SQL; evaluate rule performance; partner with stakeholders to deploy monitoring solutions; support governance, documentation, and audit readiness; and independently manage deliverables and prioritization.

Design and deliver reusable data products, data movement and validation solutions, Power Apps and automated workflows, and production SQL to support reporting, applications, and business decision-making across the bank.

Lead configuration and sustainment of Apptio TBM models and Cloudability for technology cost transparency, allocations, and FinOps reporting. Manage data ingestion, transformations, allocations, reconciliations, controls, and runbooks. Translate business and finance needs into scalable models, APIs, and processes; validate reporting and support forecasting, subledger, and chargeback consumers. Drive automation, AI opportunities, and stakeholder guidance for repeatable, audit-ready financial and operational outputs.

Lead design, build, and operate scalable, secure GCP data platforms and reusable frameworks (ingestion, transformation, quality, orchestration). Enable self-service consumption and governance-by-design, optimize performance and cost, implement data modeling and observability, enforce security controls, partner with domain teams to onboard use cases, and contribute to platform roadmap and enablement.

Lead and build the Mortgage Model Development Center's mortgage data analytics capability end-to-end. Design scalable analytics frameworks across MBS/EMBS, loan performance, Intex, and loan-level datasets. Develop Python-based tools for ingestion, transformation, QC, cohort analysis, feature engineering, and mortgage analytics. Partner with model development, validation, investment portfolio, technology, and business stakeholders. Establish data quality standards, documentation, controls, production workflows, and drive adoption of AI-enabled workflows for extraction, anomaly detection, and analytics acceleration.

Develop, implement, and calibrate quantitative models for financial products and risk management. Perform advanced statistical and time-series analysis, Monte Carlo simulations, and programming in Python/R/SAS/C++/SQL. Provide analytical support, process improvement recommendations, and collaborate with stakeholders and regulators.