Top Analytics Jobs in Austin, TX

Seeking a Sr. Manager, Data Engineer DevEx at General Motors to lead the developer experience team, manage CI/CD processes, and build/release pipelines for vehicle data systems. Responsible for ensuring software reliability, scalability, and adoption of best practices in code health and testing. Must have extensive experience in software engineering, tooling, automation, and managing engineers.

Part-Time Student-Engine Performance Analyst at John Deere Product Engineering Center. Responsibilities include assisting in developing engine model capabilities, conducting performance analysis simulations, and supporting engine development programs. Must be pursuing an Engineering degree and have a GPA of 3.0 or above.

Seeking a People Analytics Manager to build a People Analytics function from scratch, partner with multiple functions, and deliver mission-critical insights. Responsibilities include systems and processes, data visualization and analysis, cross-functional initiatives, consulting, modeling, and reporting.

Seeking an Engineering Leader with a strong background in machine learning to lead and mentor teams, architect solutions, and drive innovation in Security AI. Responsibilities include team leadership, architectural design, model development, model training and evaluation, and solution development in the realm of security.

Lead analytics projects and provide insights to support product growth in the gaming industry. Collaborate with cross-functional teams and analyze data to optimize game performance and achieve business goals. Own analytics lifecycle and mentor team members. Must have 5+ years of experience in data-driven organizations.

Leading teams to import clients' payroll data into the R365 environment, developing and implementing processes to analyze and verify data accuracy, coaching team members, managing team performance, and collaborating with stakeholders to find solutions to project-specific problems.

Looking for an Internet Measurement Researcher to join the applied research team at ThousandEyes. Responsibilities include crafting and refining new algorithms to enhance inference capabilities, monitoring performance and reliability of various technologies, and collaborating with engineering teams. Qualifications include a PhD or MS in Computer Science, expertise in Internet protocols and Python, experience with networking tools, and communication skills.