Top Senior Data & Analytics Jobs in Wilmington, NC

The Senior Growth Analyst collaborates with product, marketing, and sales teams to identify growth opportunities through data analysis, designing experiments, and measuring execution progress against targets while developing dashboards and insights to drive company growth.

The Senior Data Scientist will lead data science initiatives, develop predictive models, support pricing analytics, and mentor team members at Independence Pet Holdings.

The Principal Statistical Programmer supports Epidemiology by preparing Real World data, conducting analyses, programming data tools, and liaising with stakeholders on multiple projects. Responsibilities include creating analytical databases, producing reports, and managing relationships with clients and investigators.

The Senior Salesforce Business Analyst will align GTM technology strategies with business goals, optimize processes, enhance Salesforce configurations, support integrations, and drive user adoption while facilitating cross-team collaboration.

Drive marketing performance measurement and attribution by building dashboards, standardizing campaign tracking across HubSpot and Salesforce, running funnel and cohort analyses, ensuring data integrity, and delivering executive reporting to connect marketing activity to pipeline and revenue.

Lead technical consultant responsible for data lineage solutions and MANTA configuration. Collaborates with teams to support data governance and ensure accurate lineage documentation.

The Senior Data Engineer will design and build data models, manage data pipelines, improve data quality, and collaborate with teams to deliver reliable data solutions for the company.

Lead the Central Statistical Monitoring team, ensuring subject safety and data integrity in clinical trials through statistical analysis and collaboration with various stakeholders.

The Manager leads business intelligence and data operations, establishes KPI governance, oversees executive reporting, and ensures data-driven decision-making across teams.

The role involves leading analytics, managing data pipelines, ensuring data quality, and translating data into actionable insights for business impact.