Senior Human Resources Data Analyst

Job no: 560232
Work type: Staff
Location: Chancellor's Office
Categories: Confidential, Administrative, Probationary, Full Time

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

• 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)

The anticipated salary hiring range is up to $110,004
per year, commensurate with qualifications and experience.

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.

APPLICANTS CALLED IN TO INTERVIEW WILL BE GIVEN A SKILLS TEST.

• 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 People Soft 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.

• 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.
• Experience working with large databases and analyzing significantly complex datasets.
• Proficiency working with databases and large, complex and disparate datasets using tools such as Excel (including Power Query, Developer module), People Soft Query, SQL, Tableau (Desktop or Prep), R, SPSS, SAS, AWS Quick or other analysis, preparation or querying tools.
• Experience developing reports, presentations, graphs, and other visualizations using tools such as Tableau or AWS Quick.
• 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.
• Ability to work effectively in a fast-paced environment and manage multiple projects and priorities.
• Must work effectively with a wide variety of clients and…