Top Data & Analytics Jobs

As a Data Engineer, you will leverage Agile methodologies to capture requirements, design solutions, implement security protocols, and create quality assurance processes within the healthcare domain, while utilizing various tools and cloud platforms for data integration and reporting.

The HRIS Analyst will partner with stakeholders, analyze HR processes, provide end-user support, and implement solutions in Workday HCM. Responsibilities include configuring business processes, ensuring data integrity, conducting testing, and delivering end-user training.

The Platform Scientist will collaborate with engineering and biology teams to develop and optimize cell therapy manufacturing processes. Responsibilities include designing and executing experiments, analyzing results, authoring technical documents, performing laboratory activities, and developing training materials. The role requires strong communication and collaboration skills, particularly in a fast-paced environment.

The Research Associate (Supply) will support the development of forest carbon projects through research, data analysis, and collaboration with team members. Responsibilities include project design, quality control, client communication, and developing recommendations based on analytical insights.

The Sales Business Intelligence Analyst will design, develop, and maintain BI solutions to support decision-making. Responsibilities include developing reports and dashboards, collaborating with stakeholders, and improving reporting tools in alignment with business needs.

The Data Scientist will collect, analyze, and interpret data to drive insights for business decisions in the gaming industry. Responsibilities include developing automated processes for analysis, collaborating on end-to-end solutions, and researching machine learning approaches.

The Director of Data Analytics will lead marketing and product analytics initiatives, utilizing large and complex data sets to inform strategies. They will apply quantitative methods to measure product success metrics and generate insights that drive decision-making across the organization.