Top Data & Analytics Jobs in Wilmington, NC

Lead product analytics, experimentation, and dashboarding to measure feature impact and improve retention. Design rigorous A/B tests (including pricing), build Looker/Hex dashboards, automate reporting, and partner with cross-functional teams to drive data-informed product decisions.

The Risk Analyst will develop strategies to mitigate fraud risk, analyze data, and collaborate with various teams to support low friction customer experiences. Responsibilities include reviewing accounts, creating analytical models, and reporting on progress against business goals.

The Principal Fraud Analyst will lead risk framework evolution, develop fraud metrics, collaborate on scalable solutions, and enhance risk detection capabilities in payments.

The Senior Actuarial Support Analyst will analyze healthcare data, produce client-facing reports, and present insights to stakeholders. The role involves collaboration with various teams to improve customer value and reporting accuracy.

Lead cost savings and impact modeling, develop actuarial methodologies, oversee analytics projects, partner with teams on data requirements, and assess financial impacts of new programs.

Lead analytics work translating complex healthcare data into decision-ready insights. Own KPI definitions, Snowflake data marts with dbt, executive dashboards in QuickSight, and cross-functional analyses to inform strategy, product, and operations.

Lead client-facing data solutioning and pre-sales efforts for Consumer verticals, design executable data architectures, support pursuit to close, and provide ~50% hands-on delivery and architectural oversight while ensuring information security and data privacy compliance.

Maintain and improve eligibility and claims data feeds, analyze feed performance and errors, troubleshoot discrepancies, work with external feed providers to map and test integrations, and help improve internal tools, documentation, and processes.

Lead development and monitoring of debit-card fraud strategies, tools, and controls. Analyze data, build fraud rules, partner with vendors and product teams, report losses and trends, and drive reductions in fraud through data-driven solutions and compliance with risk policies.

Lead a team of data scientists to develop, validate, and operationalize marketing mix and multi-touch attribution models. Build econometric and time-series models, derive incremental marketing impact and KPIs, implement non-linear constrained optimization for scenario planning, automate model pipelines, and communicate insights to marketing stakeholders.

Lead mortgage default and servicing analytics: monitor portfolio performance, design risk-based segmentation and treatment strategies, collaborate with Collections/Loss Mitigation/Investors, create reports and presentations, and implement improvements to reduce losses and cycle times.

The People Analytics Analyst will analyze HR data to provide insights, support talent decisions, and improve organizational effectiveness across various business areas.

The Business Intelligence Developer will build scalable data models, develop KPIs, optimize BI tools, and translate insights for strategic decision-making across departments.