Manager: People Analytics at Auditor-General of South Africa

Job description

We are looking for a thought leader in the field of workforce intelligence and organizational design to own the end-to-end architecture and delivery of their predictive analytics and people data reporting. This role is responsible for building and managing a people reporting service and tools, leading the detailed statistical analysis of our People Portfolio to identify actionable insights, and building predictive models. The insight from this analysis will be used to drive people investments and talent management decisions, and assess our people program effectiveness. The position will create and statistically analyze large data sets of internal and external data and communicate the results across the organization in a way that informs and drives the organization to action.

Key Functions:

• Deliver reporting solutions – provide expert level consulting and management of expert level consultants to identify and support People Portfolio and business reporting and data needs, initiate and prioritize reporting tool enhancement, and prepare report and reporting solution specifications.
• Build partnerships with development teams – work closely with internal technology teams and vendors to deliver tools and system solutions, provide monthly review and assessment of the business solution performance and adoption.
• Provide leadership in the identification and description of reporting required to make people investment and talent management decisions and recommendations regarding the creation of analytical reports to achieve client, program, and business objectives for resource optimization.
• Lead the design and maintenance of people analytics, and interpretation of people data in order to identify significant differences, relationships, and trends in data, as well as factors that could affect the results of research.
• Report results of statistical analyses in the form of graphs, charts, and tables.
• Develop predictive models for attrition, turnover, high performance, and recruiting demand
• Develop, own and optimize existing people reports (e.g. People Portfolio Balance Scorecard, People Dashboard, etc.) to drive meaningful business results.
• Manipulate and analyze large datasets using analytic features of multiple tools
• Identify statistical analysis techniques required to deliver insights.
• Partner closely with HRIS and IT to build the required system functionality to collect, analyze and present data.
• Supports the People Portfolio leadership team to identify business challenges and use data analysis to help influence changes to the operations, process or programs.
• Communicates findings to senior management via formal presentations, standard management reporting artifacts on periodic/quarterly/annual basis.
• Creates, maintains, and ensures quality assurance of key people data sets, reports, and metrics.
• Collaborates with subject matter experts across the People Portfolio (learning and development, recruitment, talent management, employment equity, compliance) to promote data governance and stewardship, and to improve overall strategic and operational performance and insight.
• Serves as the domain expert for people analytics, advance the use of complex analytical techniques and statistical thinking across the People Portfolio, and provide coaching and training on use and interpretation of metrics.
• Serve as an active participant on cross-functional project teams and provide guidance and training to teams in asking appropriate questions, interpreting data, and translating into action.
• Develop and maintain appropriate benchmarks with other organizations, working as the key representative to the external benchmarks and key surveys supporting the People Portfolio.

Requirements:

• Bachelor’s Degree in HRIS or other Information Systems or mathematical field such as Statistics, Operations Research, Applied Mathematics or related field.
• 5-10 years of business intelligence, data mining and analytics at a managerial level, with at least 5 years in the human capital environment .
• Strong SQL skills are preferred.
• Demonstrated ability to build complex statistical models needed to understand issues at a detail level and forecast impacts of change.
• Exceptional quantitative and analytical skills, mastery of business intelligence or related discipline.
• Expert knowledge of quasi-experimental and applied research design, including multivariate statistical analysis.