Manager - People Analytics at AngloGold Ashanti

EDUCATION & QUALIFICATIONS:

• Bachelor’s degree in (Systems and Data Management or Business Analytics) preferred, or an appropriate Diploma (NQL 5) / SAP SuccessFactors certification / People Analytics certification/ commensurate years of experience in a related role. 

REQUIRED GENERAL KNOWLEDGE & EXPERIENCE:

• 3-5+ years of experience in HRIS, People Data & Reporting and Analytics.
• System implementation experience in the HR area.
• Presenting KPIs and Business Metrics to Executive Leadership.
• Utilizing statistical analysis to support business decisions.
• Data Visualization and Storytelling, able to successfully manage multiple tasks.
• Experience with reporting tools and must understand database concepts/design, SQL, advanced MS Access & Excel with data manipulation and presentation skills.
• Previous working knowledge of SAP SuccessFactors, Tableau, Power BI.

ROLE ACCOUNTABILITIES:

People Analytics Solution Strategy and Development:

• Strategic Roadmap: Lead the development and implementation of a comprehensive KPI & Analytics strategy and roadmap aligned with both HR and business objectives.
• Aligned KPIs: Partner with Global Process Owners to identify, develop, and validate key performance indicators (KPIs) and relevant benchmarks for various HR and Talent processes.
• Project Management: Manage a portfolio of analytics projects from inception to completion, ensuring deliverables meet predetermined business goals.
• People Data Architecture: Oversee the design and development of data models and visualization tools to facilitate easier interpretation and action on complex data sets.
• Subject Matter Expertise: Continually assess market trends and emerging technologies in analytics to propose enhancements or new solutions that would benefit the organization.

People Analytics Solution Maintenance:

• KPI & Metrics Monitoring: Ensure the regular update and accuracy of all developed KPIs, ensuring they continue to be relevant and reflective of business needs.
• Data Validation: Implement rigorous data quality checks and validation methods to maintain high data integrity across all analytics solutions.
• Data Auditing: Conduct periodic audits of analytics tools and dashboards to identify and rectify any data discrepancies or technical issues.
• Data Governance: Coordinate with IT and Data Governance teams to ensure data privacy and compliance measures are upheld in all analytics solutions.
• Continuous Improvement: Establish a regular review cycle with stakeholders to continually refine and optimize analytics solutions based on feedback and changing business requirements.

People Analytics Solution Enablement:

• Training: Develop and execute a robust training and communication plan to enhance user adoption of new analytics tools and KPIs.
• Documentation: Create and distribute user-friendly documentation and guides to facilitate better understanding and utilization of analytics solutions.
• Stakeholder Engagement: Organize workshops and presentations to educate business and HR leaders on how to effectively use analytics for decision-making. Provide ongoing support and consultation services to users, helping them to extract actionable insights from analytics tools.
• Subject Matter Expert: Serve as the primary liaison between the analytics team and end-users, gathering feedback and making necessary adjustments to improve user enablement.

User Experience:

• User-Centric Design: Advocate for a user-centric design approach in all solution development efforts. Conduct user experience research to identify pain points and areas for improvement in the analytics solutions.
• Accessibility: Ensure that the system is accessible to all users, taking into consideration language, disabilities, and regional differences.
• Performance Metrics: Monitor user experience through performance metrics and make necessary adjustments. Utilize user feedback and analytics to make data-driven improvements to the user experience. Measure user satisfaction and adoption rates post-implementation, making iterative adjustments to improve the overall user experience.
• Collaboration: Partner with external experts, process owners, business leaders, and system users to improve the user interface of dashboards and analytics tools. Gather input from UI/UX designers.
• Mobility: Ensure that all analytics solutions are mobile-responsive and accessible to all employees, regardless of location or device.