Top Remote Analytics Jobs

The IT Analyst - SAP Logistics will develop and support SAP Logistics solutions, manage incidents, and collaborate with stakeholders to ensure compliance and timely delivery. Responsibilities include configuring SAP modules and resolving issues in a post go-live environment.

The Senior Research Scientist will oversee and conduct systematic literature reviews and quantitative evidence synthesis studies, develop client-ready deliverables, manage project components, ensure timely delivery, and mentor junior staff while contributing to proposals and presentations.

The Senior Data Analyst at Array will leverage foundational expertise in data analysis to work closely with product and engineering teams, addressing complex business challenges, enhancing conversion rates, and improving user experience through data-driven insights.

The Sr. Analytics Analyst will support the North America Commercial team by analyzing operating performance, developing Power BI dashboards, and providing actionable insights. Responsibilities include improving data quality, conducting commercial analysis, identifying process improvement opportunities, and collaborating with IT to enhance reporting functionality.

The Staff Bioinformatics Scientist will develop algorithms and software solutions for genetic and epigenetic data analysis, applying machine learning and statistical methods to meet clinical application requirements. The role involves designing robust analytical workflows to automate studies in a product development environment.

The Staff Research Lead will oversee research projects in drug discovery, focusing on real-world data studies and patient-centric insights. Responsibilities include translating research questions into study designs, managing projects using agile tools, collaborating with cross-functional teams, and working with diverse data types using R and Python in cloud environments.

The Senior Manager of Data Platform leads the development of a scalable and reliable data platform for Vertex's product offerings, ensuring alignment with business goals. Responsibilities include defining data architecture best practices, mentoring engineers, managing cross-functional relationships, overseeing recruitment, and staying updated with industry trends.