Requirements include:

• Relevant qualification at NQF level 7 (e.g. Human Resources, Industrial Psychology, Business Administration).
• 5 years relevant experience with at least 3 years of HR reporting and data analysis experience.
• High level of proficiency in the use of MS Office with a focus on MS Excel at an advanced level.
• Strong quantitative and analytical skills
• Ability to work with large datasets and an understanding of data analysis
• Appropriate technical project management/coordination experience, including planning, organising, reporting and presenting skills.
• Knowledge of the higher education sector
• Knowledge of the SAP, VALPAC systems and PowerBI are advantageous
• Knowledge of the Higher Education Sector is advantageous.

Responsibilities include:

• Develop and maintain HR analytics and reports service which supports the objectives of the HR department
• Utilise technology and analytical tools to develop and analyse university-wide people and other cross-functional data as needed.
• Work closely with internal and external clients to understand their information requirements and identify and negotiate appropriate services
• Deliver a high quality responsive, efficient and customer-orientated service supporting client objectives through the delivery of standard HR analytics and dashboards
• Develop and maintain detailed and up to date knowledge of legislative and other routine reporting requirements and ensure that reporting requirements are met in accordance with agreed parameters and deadlines
• Design, maintain and implement HR analytics, self-service reporting tools and data management
• Deliver on annual and ad hoc analytics and reporting projects
• Design and test analytics and dashboards and security and access to these
• Provide training and support to stakeholders on the use and interpretation of dashboards, metrics and reports.
• Develop HR master data standards to ensure accurate and relevant data sets for reporting
• Align data standards to adhere to legislative (e.g. POPIA) and University requirements
• Drive data quality and influence the development of people processes and technology to allow for effective data collection.