Top Data & Analytics Jobs in Charlotte, NC

Supports merchandising operations through data governance, analytics, reporting, process improvement, issue resolution, and technology enablement. Establishes data ownership, access, quality, and usage standards across merchandising systems; analyzes data and translates insights into actions; manages projects; partners with merchants, vendors, leaders, and international teams; and trains users on systems, standards, and updates.

Leads applied AI and health data architecture initiatives for payer clients. Designs cloud-native platforms, pipelines, data models, integrations, and modernization roadmaps across AWS, Azure, Databricks, and Snowflake. Oversees data quality, governance, anonymization, performance optimization, and legacy migrations while advising stakeholders on AI-ready architectures. Manages multi-team delivery, resolves technical issues, presents solution tradeoffs, and coaches practitioners.

Analyze credit card business performance, customer and product trends, marketing outcomes, risk, and operational efficiency. Build queries, models, and dashboards; evaluate P&L initiatives and business cases; identify risks and growth opportunities; and translate insights into actionable strategies. The role partners with marketing, finance, analytics, risk, product, technology, and operations stakeholders to support strategic decisions and measurable business outcomes.

Leads advanced analytics, reporting, scalable data models, dashboards, and data pipelines supporting Business and Marketing teams. Partners with senior stakeholders and AI Engineering to implement AI and machine learning workflows, predictive insights, and automation. Develops documentation, drives analytics engineering best practices, and mentors team members. Requires strong SQL, Python, APIs, data modeling, stakeholder communication, project leadership, and blockchain expertise.

Manages a data analytics team responsible for complex reporting, forecasts, dashboards, data integration, quality audits, and ad hoc analysis. Uses data trends, modeling, and optimization methods to identify business opportunities and operational improvements. Oversees strategic projects, develops data definitions and reporting specifications, presents insights to senior management, and coaches team members on analytical quality and accuracy.

Defines and executes enterprise data engineering and platform strategy. Designs scalable cloud data architectures supporting analytics, reporting, AI, and business intelligence; modernizes warehouses, lakes, and lakehouses; advances data mesh, governance, reliability, security, observability, ETL/ELT, automation, Infrastructure as Code, and CI/CD. Partners with architecture, security, infrastructure, product, and business stakeholders to deliver enterprise-scale data capabilities and apply AI-assisted engineering practices.

Leads predictive and advanced analytical modeling initiatives to improve legal recovery, operational performance, forecasting, and business decisions. Partners with senior stakeholders to translate business challenges into scalable models, metrics, dashboards, and decision-support frameworks. Oversees data quality, governance, model validation, reporting, and continuous improvement. Manages, coaches, and develops analytics professionals while prioritizing initiatives, allocating resources, and ensuring analytical deliverables generate measurable business value.

Develops and optimizes Power BI dashboards, semantic models, DAX measures, and enterprise reporting for project, financial, and business development performance. Analyzes ERP data, KPIs, revenue, margins, backlog, WIP, forecasting, and client trends. Ensures data integrity, supports automated reporting workflows, performs scenario analysis, and translates findings into actionable insights for executives and cross-functional teams.

Supports the Safety team with Tableau reporting, dashboard development, KPI maintenance, data preparation, safety software administration, AI agent projects, training materials, and analytics presentations. The intern also assists with software implementation, learning management system tasks, website content, safety training, and departmental communications under guidance from safety data experts.

Manages data governance and data management processes for Corporate & Public Affairs. Maintains workflows, documentation, standards, reporting, and operational procedures; supports data enhancements, system changes, migrations, and modernization initiatives. Partners with data owners, stewards, senior management, and cross-functional stakeholders to assess risks, implement controls, lead projects, facilitate change, and improve processes. Presents recommendations, leads governance activities, trains users, and supports regulatory and enterprise requirements.