Top Data & Analytics Jobs in Charlotte, NC

Lead strategy, engineering, delivery, and operations for enterprise data governance platforms (metadata, lineage, quality, observability). Manage engineering and product teams, drive modernization and cloud migrations, enforce governance standards, partner with risk and architecture, oversee vendors and budgets, and ensure platform reliability, adoption, and regulatory compliance.

Lead enterprise internal fraud analytics and monitoring efforts, using SAS and SQL to analyze large datasets, design detection rules, and deliver defensible solutions. Partner with senior stakeholders, risk, audit, and control teams to identify fraud patterns, build analytic monitoring, and drive risk-reduction initiatives under high regulatory and executive scrutiny.

Lead transformation from rule-based to AI-driven front-line monitoring: own end-to-end analytics lifecycle, operationalize AI/LLMs and Copilot workflows, deliver risk-detection solutions, build an AI-fluent analytics team, and partner with senior stakeholders to scale governed, production-ready monitoring across FLM.

Lead insights for Lowe's Media Network: engage clients on media performance, develop strategic learning plans, run QBRs, synthesize multi-source data into optimization recommendations, oversee reporting and visualization, support A/B testing, and partner with sales, product, and ad-tech to grow retail media business.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

Support a book of business by validating, transforming, and reconciling data, managing daily processing and file audits, generating reporting outputs for outreach, creating file configuration specs, resolving discrepancies with stakeholders, and driving process improvements to ensure regulatory compliance and operational efficiency.

Design and build data validation, integration, and transformation solutions to support ERP implementations and risk/regulatory clients. Develop data pipelines and infrastructure, manage data validation processes, ensure data lineage and quality, manipulate large datasets using Excel, Alteryx, SQL, Python, Databricks, or Snowflake, and collaborate with clients to deliver scalable, governed data solutions.

Maintain and audit enterprise inventory and network data across advanced TV and digital ecosystems. Onboard inventory sources, manage mappings and naming conventions, troubleshoot data issues, collaborate with cross-functional teams, and support process improvements, testing, and documentation to ensure data quality and operational readiness.

Develop and maintain volume forecasting, capacity planning, and resource optimization models; modernize models using predictive modeling, simulation and optimization; partner with frontline units and present model performance to executive leadership; ensure models comply with Model Risk Management standards and support ongoing model monitoring and enhancements.

Lead strategic analytics to inform business unit strategy. Develop analytical frameworks, identify hypotheses, analyze P&L drivers, and influence leadership decisions. Mentor team members, ensure risk and compliance alignment, and translate quantitative and qualitative insights into prioritized business actions.

Lead Finance data stewardship and management of key finance data applications (including Snowflake solutions and financial allocation apps). Set strategy, oversee data quality, access and application controls, information delivery, and analytics. Partner with Finance, Technology, Risk, and enterprise data teams to ensure fit-for-purpose, controlled data and drive measurable business outcomes through reporting, governance, and advanced analytics.

Lead analytics on large datasets, approve statistical and predictive models, oversee data collection and quality, produce actionable reports, partner with business units, and manage complex analytics projects to inform strategy and decision-making.

Lead end-to-end Palantir Foundry implementations: architect Ontologies, design pipelines, and build Workshop/Slate applications. Translate business goals into technical roadmaps, drive adoption, mentor juniors, support US business development, and travel to client sites as needed.