Hiring: Senior Human Resources Data Analyst Company: California State University, Office of the Chancellor Location: Long Beach, CA Job Posted Time: 2026-09-11 11:27:13 Employment Type: On-site Target Skills & Keywords : AWS, Microsoft Excel, Microsoft Office, Python, R, SQL About the job Experience: •2-3 years of experience using Tableau, QuickSight or other data visualization tools is strongly preferred. •3 years of experience using Tableau, QuickSight or other data visualization tools is strongly preferred. Required Skills: •Under the general direction of the Senior Manager, Data Analysis •Conduct research, develop and update reports, dashboards, and perform analysis related to employee data, including faculty and staff, in support of system-wide priorities, data requests, budgeting, and collective bargaining direction, in such areas as compensation, turnover, workload, demographic, employment trends, etc. •Use analyses to help generate employment forecasts and projections. •Respond to ad hoc requests for information on HR related data from internal and external constituents, including Chancellor's Office staff, campuses, Board of Trustees, legislature, other state offices, media and unions. •Create, modify, and execute CIRS and PeopleSoft reports, obtaining, cleansing, validating, and transforming (including joins and unions) employment and payment data from various sources and extracts. •Extract, analyze and report on large and complex datasets using tools such as Excel, SQL, Focus, SPSS, SAS, Tableau Desktop/Prep, AWS Quick Suite, and other tools. •Partner cross-functionally with the Data Analysis team to audit deliverables for accuracy, presentation, and branding, in alignment with the user’s specifications. •Maintain acute awareness of Systemwide HR priorities as well as CSU priorities which pertain to recruiting, developing, and retaining exceptional talent in order to facilitate relevant and meaningful insights in reporting, research and analysis. Qualifications: •Bachelor's degree in Computer Science or related functional area or an equivalent combination of education and experience is required. •Minimum of four years' experience as a data or research analyst with demonstrated experience in statistical research methodology, data aggregation and analysis, and report preparation. Graduate level training in these areas may be substituted for work experience. •Proficiency working with databases and large, complex and disparate datasets using tools such as Excel (including Power Query, Developer module), PeopleSoft Query, SQL, Tableau (Desktop or Prep), R, SPSS, SAS, AWS Quick or other analysis, preparation or querying tools. •Advanced knowledge of common business software such as the Microsoft Office 365, and AWS environment. •Excellent problem-solving skills, including the ability to work independently, determine the most effective approach to gathering and reporting needed information, and troubleshoot problems. •Strong mathematical, analytical, and organizational skills. •Professional and effective oral and written communication skills. •Demonstrated capacity to work effectively in a fast-paced environment and manage multiple projects and priorities. •Must work effectively with a wide variety of clients and outside consultants and vendors. •A demonstrated ability to translate business needs into technical requirements and to connect technical details to business priorities. Compensation: •$110,004 per year •Flexible work environment (work from home / hybrid options) •Competitive benefits and rewards package •Comprehensive Health, Dental, and Vision Benefits Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!