Senior Human Resources Data Analyst

Chancellor's Office Statement

Join our team at the California State University, Office of the Chancellor, and make a difference in providing access to higher education. We are currently seeking experienced candidates for the position of Senior Human Resources Data Analyst. The CSU Chancellor's Office, located on the waterfront adjacent to the Aquarium of the Pacific in downtown Long Beach, is the headquarters for the nation's largest and most diverse system of higher education. The CSU Chancellor's Office offers a premium benefit package that includes outstanding vacation, health, and dental plans; a fee waiver education program; membership in the California Public Employees Retirement System (PERS); and 15 paid holidays a year.

Salary

The anticipated salary hiring range is up to $111,576 per year, commensurate with qualifications and experience.

Work Arrangements

Flexibility to telecommute two days a week, with three days on-site at the main headquarters in Long Beach, California.

Premium Benefits

Comprehensive Health, Dental, and Vision Benefits

Generous vacation plan

15 paid holidays a year

Tuition waiver education program (also applies to eligible family members)

Membership in the California Public Employees Retirement System (PERS)

More details here: Comprehensive Benefits Package

Classification

Confidential Technical Support III

Position Information

The California State University, Office of the Chancellor, is seeking a Senior Human Resources Data Analyst to be responsible for developing employee reports and conducting analysis of significant complexity, including faculty and staff.  Assignments support and inform California State University policies, Chancellor's Office priorities, internal and external constituent needs, and collective bargaining direction. Additionally, this role provides information to constituents outside of the CSU in accordance with various data transparency laws, agreements and standards.

This position is approved for telecommuting (two days telecommuting, three days in office (in-person)) with onsite work at the main headquarters located in Long Beach, California.

Responsibilities

Under the general direction of the Senior Manager, Data Analysis, the Senior Human Resources Data Analyst will:

-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.

-Collaborate 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.

-Train other team members in standards, procedures, and technology related to querying, extracting, understanding, and providing data for ad hoc and recurring reports.

-Contribute to the creation and maintenance of Data Analysis team business process documentation.

-Collaborate with the Sr Manager of Data Analysis and the HR analyst to maintain and update the Data Analysis team website and related online resources.

Qualifications

This position requires:

-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 a