9 user support analyst jobs found

SUMMARY: The overall objectives of the Business Analyst are to review and analyze current and proposed business operations that result in new IT applications or modifications to existing applications. The BA will work with business leaders to gather business requirements, define system design specifications, author and execute test cases during User Acceptance Testing (UAT) and will document the outcomes of these test cases until all have been successfully executed and documented in our SDLC system of record. They will also serve as a project manager to help lead projects from the business requirements aspect and testing of all IT projects. Will also facilitate the prioritization of our larger IT initiatives.   ESSENTIAL DUTIES AND RESPONSIBILITIES  include the following. Other duties as assigned. Identify and communicate with key stakeholders and subject matter experts (SMEs). Gather, review and analyze and industry data, including key performance metrics....

Land, Buildings & Real Estate (LBRE) is the operational core of Stanford University’s physical campus. LBRE constructs and maintains the Stanford campus, where advancements across the academic spectrum are made possible. Our work is founded upon the collective value of dedication, innovation, expertise, teamwork, and continuous improvement. We are committed to serving the university’s academic mission, as well as preserving and enhancing Stanford’s 8,180 acres, and pride ourselves on supporting the teaching and research of the university as “Caretakers of a Legacy." Position Summary: The role will work with an experienced Data Architect and Senior Software engineer to support implementation and deployment of various solutions Involving data along with creating the maintenance documents. The role will involve data analysis, Data Visualization and testing. This will also include Executing all programming tasks, including...

NVIDIA is looking for an experienced GPU and network systems Solutions Architect & Engineer. Do you want to be part of a team that brings new Artificial Intelligence (AI) hardware and software technologies to production in customer data centers? As part of the NVIDIA SA organization, you will be driving deployment of our end-to-end technology solutions integration at some of NVIDIA's most strategic technology customers, as well as offering recommendations to business and engineering teams on our product roadmap. What you will be doing: Working with NVIDIA AI Native and Consumer Internet customers on large data center GPU server and networking system deployments as Solution Architect Engineer. Guide customer discussions on network design, compute/storage and support bring up of server/network/cluster deployments. You will need to visit customer data center during bring up phase. Demonstrate subject matter expertise in advanced GPU & network systems and...

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for a marketing professional with a technical background to join our product marketing team. In this role, you will help data scientists and data engineers realize the value of accelerated computing for data science, data analytics, and...

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience building integrated systems throughout the entire lifecycle (e.g., analyze, design, build, test, implement, and support). 5 years of experience in full cycle SAP implementations. 5 years of experience designing and implementing finance, Enterprise Resource Planning (ERP), or supply chain systems. Preferred qualifications: Master's degree or equivalent practical experience. 10 years of experience in full cycle SAP implementations and support projects. Experience with SDLC phases, including requirements gathering, blueprinting, authoring functional specifications, system configuration, testing, etc. Understanding of order management, booking, or product fulfillment processes. Excellent problem solving, people management, and communication skills, with a demonstrable bias toward action. Experience with SAP BRIM (SOM, CI). About...

This is a 3-year fixed term appointment. Stanford Data Science This position is part of a new initiative incubated within Stanford Data Science, part of the Vice Provost for Research / Dean of Research. Stanford Data Science (SDS) is a dynamic and rapidly growing unit within the VP/Dean of Research. For more than five years, SDS has sought to advance data science and its application to all fields of study. Our community ranges broadly across all seven schools on campus, consisting of esteemed alumni, world class faculty, post-doctoral fellows and PhD students, dynamic staff and administrators. In realizing our mission, our staff are critical to supporting our organization’s goals and enabling Stanford faculty and students to accomplish their mission conducting cutting-edge research and innovation around how we learn from data, the tools we use, and the new methods needed to tackle the data-intensive future. POSITION SUMMARY Stanford University has made a strategic...

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years work experience and a Master's degree). Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). About the job Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for...

Are you an experienced AI/GenAI engineer who loves shipping real systems with a passion for working with enterprise data? Join Stanford’s Enterprise Technology team to design, implement, and support AI solutions across university use cases. In this role, you will influence strategic direction, requirements, and architecture for AI‑driven information systems, incorporating new capabilities (LLMs, RAG, agentic frameworks, MLOps) to improve workflow, efficiency, and decision-making. You may serve as the technical lead for specific AI tracks and interrelated applications. This role blends hands-on engineering with mentorship and thought leadership. You will prototype and productionize—presenting proofs of concept, demoing solutions to stakeholders, and partnering with project managers, technical managers, architects, security, infrastructure, and application teams (ServiceNow, Salesforce, Oracle Financials, etc.) Core Duties: AI/ML System Implementation &...

The Senior Software Engineer develops software used in big data analysis as part of a team of scientists and engineers at the forefront of research into catastrophic childhood disease. Provides solutions through a combination of implementing/modifying available tools and developing novel methods and software tools. The Department of Pathology at St. Jude Children's Research Hospital is seeking a highly motivated Senior Software Engineer to join our expanding Computational Pathology Resource under the direction of Dr. Brent Orr, MD, PhD (Member and Division Director of Anatomic Pathology and Neuropathology). In this position, you will be a key member of our interdisciplinary team, working closely with image scientists, machine learning researchers, and clinical collaborators to translate cutting-edge computational pathology research into robust, production-quality software tools. You will be responsible for building and maintaining scalable software solutions that enable...