Senior Manager HR Analytics Reward & Administration

Job Description

Our client in the Financial Sector is seeking to appoint an HR Professional with a strong background in Data Science and Statistics. This role is pivotal in ensuring the efficient delivery of HR administrative services aligned with the organisation’s governance standards, thereby fostering a high-performance culture. The successful candidate will be a results-driven professional who combines analytical rigor with operational excellence.

Duties and Responsibilities

DUTIES AND RESPONSIBILITIES
 Developing dashboards, attrition forecasting predictive model, and providing actionable insights on employee behavior, performance, and engagement to senior leadership.
 Develop and implement HR analytics framework to provide insights into workforce trends, productivity, engagement, and turnover.
 Analyze HR data to support strategic decision-making and policy formulation.
 Develop and maintain HR dashboards, scorecards, and performance metrics (KPIs).
 Collaborate with IT and HR teams to ensure data integrity, accuracy, and compliance with data protection standards.
 Conduct predictive analyses to anticipate workforce risks and identify opportunities for improvement.
 Manage efficient delivery of employee records management, onboarding administration, leave management, and HR policy execution.
 Design, implement, and periodically review the organisation’s total reward strategy encompassing compensation, benefits, incentives, and recognition programs.
 Conduct market benchmarking and pay equity audits to ensure internal equity and external competitiveness.

Qualifications and Experience

QUALIFICATIONS
 Bachelor’s Degree in Data Science, Statistics, Business Administration, Human Resources
 Human Resources Professional qualification in either of the following (CIPD, SHRM ,IPMZ) will be an added advantage
 Reward Professional qualifications will be an added advantage.
 Proficiency in data visualization tools (e.g., Power BI, and programming languages like R, Python, or SPSS will be an added advantage
 5 years’ progressive relevant experience with a proven track record at Managerial level.

How to Apply

Qualified Candidates submit your cvs to florence.chidziya@proservehr.com or calistas.bumhira@proservehr.com

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