Top Analysis Reporting Jobs in Wilmington, NC

The Data Migration Specialist will oversee the migration of customer data from legacy systems into Prospyr, ensuring data accuracy and reliability through validation, QA checks, and collaboration with cross-functional teams to support customer onboarding and go-live processes.

Design and build Spark ETL pipelines on an AWS data platform, collaborate with stakeholders to deliver reliable large-scale data products, optimize and maintain data infrastructure, ensure data quality/governance, and manage platform operations and incident response.

Design, build, and operate Spark-based ETL pipelines on AWS. Collaborate with stakeholders to deliver reliable data products, ensure data quality and governance, optimize performance, and maintain operational excellence of the data platform.

Lead and scale the data analytics function, manage a distributed analytics team, deliver actionable insights, and oversee analytics projects.

The Senior Data Analyst will analyze trends, develop segmentation frameworks, create dashboards, manage risk rules, and support audits and projects.

Design, build, and maintain forecasting and portfolio optimization models for U.S. power markets; analyze market outcomes, track supply/demand/congestion dynamics, and apply statistical, optimization, and ML methods to inform commercial decisions.

As a GTM Engineer, you will optimize go-to-market strategies by deploying AI-driven workflows, collaborating with multiple teams to enhance efficiency and effectiveness.

As a Principal Data Architect, you'll lead AI-native data transformations using GCP, design AI architectures, modernize legacy systems, and collaborate with clients.

Implement and deliver Microsoft-based data solutions: gather requirements, build ETL pipelines, perform dimensional modeling, develop complex transformations (SQL, Python, DAX), and create Power BI reports while mentoring teammates and supporting client engagements.

Lead end-to-end web and mobile analytics: design and implement tagging strategies, ensure data quality, build data pipelines and dashboards, analyze user behavior, and provide actionable insights to Product, Marketing, and Engineering stakeholders.

Lead business intelligence analysis and reporting using SQL, Looker/LookML, and web analytics. Build dashboards, monitor data quality, provide insights and recommendations, mentor junior analysts, and partner with stakeholders and clients globally to solve complex business problems and support marketing/web analytics initiatives.

The Senior Data Engineer will design and implement complex data models, collaborate on data governance, lead data initiatives, and mentor team members.