Data Analyst Program Lead

As a member of the Global Information Systems Group at Lam, you will play a crucial role in providing top-notch information system solutions and services to support users worldwide in achieving their business objectives. - Perform statistical modeling and analysis of structured and unstructured datasets to create metrics, reports, and visualizations of trends and patterns. - Collaborate with the technology organization and business end-users to understand data and analysis requirements and develop technical specifications. - Partner with development and data management teams to identify and gather data from internal and external sources. - Develop and maintain statistical models for regular and ad hoc data review and analysis. - Utilize data visualization tools and techniques to produce dashboards, reports, and presentations that facilitate data storytelling and interpretation of significant business trends and patterns. - May involve client-focused work, collaborating with Professional Services and outsourcing functions, and may include the development of company-wide, web-enabled solutions. Qualifications Required: - A minimum of 8 years of relevant experience with a Bachelor's degree; or 6 years with a Master's degree; or a PhD with 3 years of experience; or equivalent. Preferred Qualifications: - Additional qualifications or certifications that strengthen the candidate's profile. At Lam, we are committed to creating an inclusive environment where every individual is valued, included, and empowered to reach their full potential. We strongly believe that by embracing diverse perspectives, we can achieve exceptional outcomes. Lam provides a range of work location options tailored to the specific needs of each role, including hybrid models such as On-site Flex and Virtual Flex. Depending on the role, you may work predominantly on-site at a Lam or customer/supplier location, with the flexibility to work remotely for part of the week. This setup allows for a balance of in-person collaboration and remote work, promoting both team interaction and individual productivity.,