Top Data & Analytics Jobs in Wilmington, NC

Performs data quality checks, validates data after system and process changes, investigates discrepancies, and identifies root causes. Maintains quality rules and documentation, tracks issues, prepares reports, monitors trends, and coordinates resolutions with Data, Engineering, Product, and Operations teams. Supports testing of data workflows and product features while recommending improvements to data processes and controls.

Collects, cleans, and organizes structured data; prepares recurring reports and dashboards; identifies trends and inconsistencies; performs data quality checks; tracks business and product metrics; supports senior analysts with research and ad hoc analysis; documents findings; and collaborates with Data, Product, Engineering, and Operations teams.

Build and maintain dashboards, reports, and recurring business intelligence solutions. Analyze business and product data, define KPIs, validate reporting accuracy, investigate discrepancies, and present actionable insights. Translate stakeholder needs into analytical requirements, collaborate with Data, Product, Engineering, and Operations teams, document data assets, and improve or automate reporting processes.

Develop statistical, machine learning, and deep learning models to measure the impact of pharmaceutical HCP, DTC, and Medical Affairs campaigns. Partner with internal and external clients, provide analytical insights and methodological guidance, consult with sales and market research teams, and coach an offshore analytics team. The role requires applying causal inference, healthcare and pharmaceutical data expertise, and clear communication of findings to clients and executives.

Analyzes platform usage, client growth, query performance, infrastructure capacity, and cloud/AI costs. Builds scaling scenarios, monitors AWS and GCP utilization, identifies anomalies and waste, owns product analytics reporting, and partners with Engineering and Product on database scaling decisions. The role also documents optimization results, capacity thresholds, vendor utilization, and model assumptions while translating technical findings for business stakeholders.

Design and manage financial systems for accurate cashback calculations, build and maintain reconciliation processes, ensure data integrity for yield-bearing instruments, collaborate with compliance, and partner with cross-functional teams to improve financial system efficiency.

Lead client-facing analytics implementations across Google Analytics 4, Adobe Analytics, and tag management systems. Responsibilities include designing measurement strategies, auditing digital ecosystems, managing tagging and consent platforms, developing data governance and privacy solutions, analyzing performance, aligning KPIs with business goals, presenting insights, supporting proposals, and improving internal analytics standards. Preferred experience includes server-side tagging, data clean rooms, customer data platforms, experimentation, CRM systems, and ETL tooling.

Provides analytical support to Carrier and Sales Center teams by developing datasets, dashboards, KPIs, forecasting models, financial reports, and actionable business insights. Responsibilities include stakeholder requirements gathering, data modeling, SQL analysis, visualization, P&L reporting, performance tracking, and communicating recommendations to management. The role also supports strategic initiatives, operational improvements, and end-to-end analytics projects using BI tools.

Lead a remote analytics team to deliver dashboards, data products, and decision-support tools. Oversee project plans, stakeholder engagement, data platform modernization, ETL/automation, Tableau/Power BI deployments, statistical modeling, QA, metadata, and staff mentoring to support federal social service programs.

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.

Own marketing channel performance analysis, reporting, experimentation, dashboards, and measurement frameworks. Develop incrementality, LTV, and forecasting analyses; identify data quality risks; and translate complex findings into actionable recommendations for Marketing, Growth, and Finance stakeholders. The role requires strong SQL, BI reporting, marketing measurement, experimentation, and analytical communication skills, with AI tools used to accelerate analytics workflows.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.