Top Senior Level Data & Analytics Jobs

The Senior Data Scientist will analyze complex datasets using cloud technologies, lead the development of predictive models, implement MLOps practices, and create interactive visualizations. They will manage complex projects while mentoring less experienced team members and influence decision-making through data-driven insights.

The Senior Manager of Supply Strategy & Analytics at CarMax will lead a team of analysts to optimize the supply chain process, focusing on vehicle acquisition and the allocation of cars across stores. The role involves strategic direction, collaboration with business leaders, and presenting insights to executives for informed decision-making.

The Staff Ecommerce Analytics Manager will drive ecommerce insights, build scalable data solutions, and lead cross-functional efforts to optimize performance for various brand objectives. Responsibilities include solving analytical problems, creating an analytics roadmap, leading scrums, mentoring team members, and ensuring stakeholder alignment in a hybrid work environment.

The Data Team Manager leads and mentors a team focused on analyzing payment data to provide insights that drive financial performance, revenue growth, and cost optimization. Responsibilities include collaborating with business leaders, improving analytical methods, ensuring data accuracy, and developing KPIs for performance measurement.

The Sr. Data Engineer will design and develop scalable data analytical solutions, create distributed data processing pipelines, mentor junior engineers, and collaborate with various teams to enhance customer experience through Nordstrom's analytical platform.

The Senior Data Scientist at OneDigital is responsible for developing new models and tools for client projects related to health benefits strategies. They will work on data visualization, web application development, and providing R&D support for model enhancements. The role requires a Bachelor's/Master's degree in a relevant quantitative discipline and 4+ years of experience in data science or related fields.

The Senior Data Engineer will design, implement, and maintain data architecture and pipelines, focusing on scalable data workflows and advanced analytics integration. Responsibilities include optimizing data workflows for performance, ensuring data quality, implementing data security measures, mentoring junior staff, and collaborating with cross-functional teams to meet business needs.