Top Analysis Reporting Jobs in Wilmington, NC

The Senior Data Analyst will provide high-quality analytics and insights for business strategies, automate reporting, and collaborate across teams to transform data into actionable insights.

The Sr. Data Conversion Specialist will design and manage data conversion processes, ensuring data integrity and quality while collaborating with clients on data migration projects.

Conduct auditing activities of model risk management, assess controls supporting model life cycle, and influence management's strategic direction.

The Project Data BI Specialist supports large projects with data analysis, reporting, and documentation, utilizing Power BI for project insights.

The Finance Data Analytics Manager leads a team to design and develop analytics solutions, driving efficiency and revenue improvements through data insights for a finance team.

The Data Analyst will build data pipelines, analyze complex datasets, and provide insights to support decision-making across multiple stakeholders in GFiber.

The Senior Clinical Data Operations Analyst III supports client data implementations, collaborates with stakeholders, and ensures data accuracy and interoperability, primarily in healthcare settings.

The Software Engineer III role involves developing and supporting a data lake solution, collaborating within Agile teams, and working with analytics and operations to centralize data.

The Sr. Analytics Analyst will set up data feeds, create reports, perform data analysis, and ensure data quality for client implementations.

The Analytics Engineer will oversee the analytics foundation for advertiser reporting, ensure metric consistency across campaigns, and work with various teams to manage metrics and data models for the expanding ad platform.

Support national ENERGY STAR Portfolio Manager account: prepare energy models, collect utility data, submit benchmarking to municipal authorities, assist Energy Star Certification, develop portfolio analysis tools, and train property teams.

The Lead Data Engineer drives enterprise-scale data solutions, oversees project scoping, and leads a team, ensuring best practices in data engineering.

The role involves generating real-world evidence through advanced analytics, developing analytical plans, conducting statistical analysis, and communicating insights to influence decisions in healthcare settings.