Top Data & Analytics Jobs in Raleigh, NC
The Quantitative Scientist will be responsible for data cleaning, modeling, inference, and interpretation. They will leverage expertise in biostatistics, epidemiology, and data science to support commercial projects and internal research, working closely with clinical data from electronic health records to solve complex real-world problems.
As an Associate Systems Analyst, you will support ERP and IT system needs in a manufacturing environment, collaborating with FIS and IT teams to enhance system functionality, monitor production processes, and assist with project requirements. You'll drive system performance, ensure compliance, and work on system improvements.
As a Data Scientist at Zelus Analytics, you will perform data modeling and quantitative analysis, develop and validate statistical models, collaborate with engineering for model implementation, and support research projects aimed at enhancing player and team performance.
The RCM Performance Analyst conducts in-depth analysis of revenue cycle data, performance metrics, and industry trends to provide actionable insights. Responsibilities include analyzing financial data related to claims and denials, investigating billing errors, preparing reports, and collaborating with stakeholders to implement improvements in revenue cycle processes.
The Research Analyst will develop comprehensive research reports, collaborate with leading R&D teams, and manage project lifecycles from initial requirements to presentation delivery. This role focuses on leveraging the Cypris platform and additional data sources to analyze global innovation across various industries.
The Principal Data Engineer will design, develop, and maintain ETL pipelines for data acquisition and transformation. Responsibilities include collaborating with teams to understand data needs, utilizing AWS Glue, optimizing ETL processes, and applying data governance practices. The role requires strong technical skills in Python, Spark, and SQL, along with experience in data matching and analytics.
The Data Analyst will drive the success of digital marketing campaigns through data-driven strategies. Responsibilities include analyzing diverse datasets, communicating insights effectively, and collaborating with various team members to optimize marketing performance and support strategic decision-making.
The Sr Underwriting Analyst supports the underwriting team by ensuring the accuracy of submissions, validating data, assisting in risk evaluations, and maintaining agency relationships. This role emphasizes attention to detail, analytical skills, and effective communication for efficient underwriting processes.
The Scientist in Quality Systems enhances ProBio’s quality systems by ensuring compliance with GMP regulations for clinical and commercial Cell and Gene Therapy products. Responsibilities include quality assurance reviews, supporting investigations and CAPA processes, and collaborating with internal teams to improve GxP compliance.
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The Senior Data Engineer will construct applications for global operations, collaborate with engineering and product teams, enhance existing systems, and develop new functionalities. The role involves working with large-scale data technologies and solving complex problems in a team-focused environment.
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