Top Data & Analytics Jobs in Raleigh, NC
The Senior Compensation Analyst will design and oversee compensation programs including salary structures and merit matrices. Responsibilities involve analyzing compensation trends, collaborating with HR, preparing SEC documents, and managing budget and compensation processes. The role requires a strong analytical background and experience in compensation compliance and strategy.
The Oracle Cloud Financials Analyst is responsible for working with clients to understand their financial management needs, designing solutions using Oracle Fusion Financials, configuring applications, conducting testing, overseeing data migration, and training users on new systems. Post-implementation support is also a key responsibility.
As a Senior Data Engineer at Flex, you will design and maintain high-quality data infrastructure services, create scalable data pipelines, manage a secure data warehouse, and collaborate closely with the Analytics team. Your role will involve enhancing data operations and supporting financial products with modern data solutions.
Join Quest Analytics as a Director in the Network Analytics team to align, direct, and oversee the delivery of data, analysis, and insights for healthcare access. Responsibilities include deciphering analytic needs, managing stakeholder relationships, ensuring high-quality analytics, developing data accessibility requirements, and leading data analysts. Ideal candidates possess excellent organizational, analytical, and communication skills with a Master's degree in information systems.
As a Senior Data Scientist/DBA at SELF ID, you will manage data infrastructure, ensure data integrity and security, and analyze complex datasets to derive insights. You'll collaborate with various teams to drive data-driven decisions and develop innovative solutions, working remotely on cutting-edge technologies.
Sr. Analytics Engineer role at Paytient, partnering with various stakeholders to deliver data products driving operational efficiency and product improvement. Responsible for full-stack analytics engineering, data governance, creating actionable insights, and utilizing Machine Learning. Remote position in the continental U.S., excluding Montana.
As a Quantitative Scientist at Osmind, you will work with data to support innovative mental health treatments. You'll plan and execute research projects, contribute to real-world evidence, collaborate on research cohorts, conduct statistical analyses, and prepare presentations for scientific conferences, all aiming to advance mental health interventions.
The Staff Data Engineer will collaborate with data analysts and scientists, building and managing data pipelines, designing databases, and driving data-driven decision-making across departments. Responsibilities include improving development processes and mentoring junior staff while engaging in impactful projects.
The Senior Data Engineer will design, maintain, and enhance the company's data analytics pipeline, focusing on data warehouse and ETL processes. Responsibilities include developing tools for monitoring data health, collaborating with stakeholders, and ensuring data accuracy and reliability.
The Data Analyst will transform complex data sets into valuable insights, supporting product development through analysis and reporting. Responsibilities include data exploration, analytics reporting using tools like SQL and Power BI, collaboration with product teams, and continuous learning of industry trends to drive business decisions and product improvements.
Top Companies in Raleigh, NC Hiring Data + Analytics Roles
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