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Top Senior Level Data & Analytics Jobs in Wilmington, NC
The Control Systems Analyst will manage the lifecycle of Building Management Systems, Electrical Power Monitoring Systems, and Alarm Management platforms, ensuring compliance with operational standards and industry regulations. Responsibilities include developing product strategies, collaborating with engineering teams, managing product releases, and providing technical training.
The Cloud Data Architect is responsible for creating data products from transactional and third-party data, improving existing systems, and collaborating with teams to build foundational data sets. The role requires experience in cloud data solutions, data warehousing, ETL tools, and big data technologies.
The Senior Marketing Data Analyst will analyze customer acquisition, retention, and market trend data to provide insights and reporting solutions. Responsibilities include building dashboards, managing the martech stack, conducting statistical modeling, and collaborating with various teams to optimize marketing strategies.
The HRIS Analyst - Senior provides technical and functional support for HR systems, engaging with HR teams and IT to enhance operational objectives. Responsibilities include troubleshooting, process improvements, project management, and customer engagement to optimize HR functionalities and reporting. Regular testing and documentation of processes are also integral to this role.
The Sr Data Engineer will design and build data processing pipelines, collaborate with stakeholders to define requirements, and improve the codebase while ensuring high-quality cloud-native data solutions. This role involves working with data at scale in a team-oriented, agile environment and providing guidance to other engineers.
The Principal Predictive Analytics Consultant leads the analytics team in designing and delivering solutions like Automated Underwriting and Risk Scoring. Responsibilities include managing complex datasets, developing predictive models, ensuring solutions meet business objectives, and presenting findings to stakeholders.
The Staff Data Engineer will design, develop, and maintain data architecture and standards for Data Integration & Data Warehousing projects in BigQuery. They will develop data solutions, document data flows, aid in data governance, and mentor other engineers to improve healthcare data visibility and processes.
The Senior Data Engineer is responsible for designing, developing, and maintaining data infrastructure, creating scalable data pipelines, and ensuring data quality and governance. They collaborate with various teams to meet data needs and stay updated on new data technologies.
As a Senior Data Engineer, you will develop a cloud-based data transformation solution for the U.S. Army, managing data pipelines and communicating design decisions. This role requires architectural thinking, programming skills, and coordination with multiple teams to ensure the successful delivery of a secure product.
The Senior Data Engineer will build data ingestion and processing infrastructure using tools like Spark and AWS. Responsibilities include creating a data resolution framework, developing CI/CD pipelines, solving complex data problems, and collaborating with engineering and product teams on data-related issues.
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