Top Senior Level Data & Analytics Jobs in Wilmington, NC

As a Data Warehouse Analyst, you will conduct complex analyses to identify and address data quality risks and control gaps. You will work with technology and business partners to implement data governance initiatives and develop standards for data management. Your role includes creating complex SQL queries for data quality scorecards and ensuring compliance with data privacy and security standards.

As a Senior Data Scientist at Thumbtack, you will leverage data to drive business decisions by conducting quantitative research, designing experiments, and collaborating with cross-functional teams on product development. Your role involves scoping new features, monitoring key metrics, and contributing to data culture while mentoring team members.

The Senior Business Intelligence Analyst will build data models, create dashboards using data visualization tools, and collaborate with cross-functional teams to design data solutions for financial reporting and operational needs. Responsibilities include maintaining data pipelines, optimizing data quality, and promoting self-service data culture within the organization.

As a Cloud Data & Analytics Manager, you will assist clients in developing data strategies aligned with their business goals, manage cloud data architecture implementations, and coach team members. Your role involves analyzing complex ideas, leveraging data insights, and improving analytics solutions to enhance decision-making and drive business outcomes.

As a Senior Data Analyst at Cisco Meraki, you will develop metrics to monitor product performance, create automated dashboards, and conduct analysis to associate performance improvements with new product features, collaborating with various teams to drive impact through quantitative methods.

As a Senior Data Architect / Data Engineer, you will optimize and organize medical data assets to improve patient outcomes. You’ll build scalable data pipelines, monitor data quality, and lead the design of data architecture while collaborating with cross-functional teams to meet business goals.

The Senior Data Scientist (AI) at Cedar focuses on leveraging AI and data to enhance patient payment solutions. Responsibilities include developing AI features, creating curated datasets, collaborating with engineering, and advocating for new AI opportunities. The role requires significant experience in AI/ML and APIs, along with technical leadership in a cross-functional environment.