Search the 8 jobs at O’Reilly Auto Parts

The Data Strategy Manager is responsible for managing data analytics initiatives, overseeing a team of data engineers, and implementing data integration and warehousing solutions. This manager will work with stakeholders to develop a data-driven culture and establish a long-term strategy, while ensuring data quality and governance, and improving KPIs and SLOs.

The HR Compensation Analyst designs, develops, and administers compensation programs, conducts job evaluations, participates in salary surveys, ensures compliance with regulations, and prepares analysis on compensation trends. They collaborate with internal departments and management to implement effective compensation policies.

The Compensation Partner oversees compensation management, leads a team of professionals, implements pay structures and incentive plans, ensures compliance with laws, and conducts job evaluations. Responsibilities also include data validation, audits, and collaboration with various departments to maintain effective compensation practices.

The Marketing Operations Coordinator will coordinate marketing projects, implement marketing materials, ensure accuracy in communications, maintain project checklists, and assist various departments for event execution. Responsibilities include working with graphics, pricing, and inventory departments to effectively distribute marketing materials and maintain organization in project timelines.

The Application Development Supervisor leads a team of IT professionals, overseeing daily activities, mentoring the team, and ensuring compliance with policies. They manage project implementation, prioritize tasks in collaboration with management, and maintain productivity. The role requires excellent communication and project management skills, as well as a strong understanding of programming processes.

The Senior System Administrator will design, implement, and manage enterprise-level WiFi networks, focusing on performance, security, and scalability. Responsibilities include network design, installation, troubleshooting, security implementation, documentation, and project management.

The Senior Data Scientist will model complex enterprise problems using machine learning and statistical techniques to discover insights, focused on inventory and assortment optimization. Responsibilities include developing predictive models, mentoring team members, and collaborating with cross-functional teams to implement data-driven solutions.

The Principal Linux System Engineer leads and mentors teams, oversees projects, and ensures high-quality outcomes by setting deadlines and improving processes. They research technologies, establish technical standards, and develop scalable infrastructures. The role also involves troubleshooting system issues and guiding discussions to enhance collaboration among teams.