Top Data & Analytics Jobs in Wilmington, NC

Own implementation, maintenance, and optimization of client eligibility and claims data feeds. Analyze feed performance, troubleshoot discrepancies, produce error reports, test integrations with external partners, and improve internal tools, documentation, and processes to increase automation and reliability.

Owner of the analytics foundation: design and maintain BigQuery/dbt models, pipelines, and Looker Studio reporting; build AI workflows and web apps on GCP; integrate marketing, e-commerce, and fulfillment data; ensure GCP ops, security, and reliability; use AI-assisted tools daily and collaborate with business and client stakeholders.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

Assist with migrating, mapping, cleaning, reconciling, and validating client financial data from legacy systems into Vantaca’s ERP platform. Create Excel reports, document migration procedures, develop workflows and checklists, and provide data accuracy insights to internal teams. The role offers hands-on experience with data transformation, client-facing projects, and SaaS operations.

Supports B2B marketing operations by building and segmenting contact lists, assisting with HubSpot email campaigns and workflows, researching prospects in Apollo.io, cleaning marketing data, and creating lead-capture forms. The intern helps maintain dashboards, improve data accuracy, and surface marketing performance insights that support lead conversion and pipeline reporting.

Design and evolve enterprise data architecture and models (conceptual, logical, physical). Lead LDM/PDM development, run JAD sessions, apply naming standards, use data profiling and modeling tools, review models with SMEs, coordinate multi-stream teams and third parties, and communicate architecture to senior stakeholders.

Build and maintain centralized pricing data infrastructure, scalable workflows, and data pipelines; integrate AI capabilities; deliver pricing tools, reporting, and governance to support data-driven pricing and budgeting across the firm.

The Sr. Data Modeler designs and implements data architectures, optimizes SQL queries, and develops data pipelines to support analytics initiatives ensuring scalability and alignment with business needs.

Leads web analytics strategy, GA4 and GTM implementations, tagging specifications, dashboards, reporting, experimentation, and data-quality monitoring. Analyzes user behavior, conversion funnels, feature adoption, and A/B test results to provide actionable recommendations for product and business decisions. Partners with product, engineering, UX, and business stakeholders and communicates analytical findings to technical and non-technical audiences.