Reward Analyst at Santam Insurance

What will make you successful in this role?

• Assists with the annual remuneration review process in terms of scenario planning, data validation, collation and analysis. 
• Responsible for benchmarking and profiling of new and existing roles to the internal classification structure. 
• Providing remuneration reports for the business. 
• Acts as a champion of the business recognition schemes and platforms.
• Work closely with the Human Capital Business Partners. 
• Work with data and analytics experts to strive for greater functionality in our data systems. 
• Research market trends, legislation, and compensation surveys to make recommendations for policy change and competitive positioning as appropriate. 
• Effectively partner with HR and BU’s to manage, consult, and resolve reward issues. 
• Provide subject-matter expertise and guidance on reward related policies and ensure process integrity. 
• Recommend approaches to facilitate the effective delivery of pay programs and related policies (relating to administration & audit controls). 

Qualification and Experience

• A degree or diploma in a related field or equivalent experience (preferably B.Com). 
• Formal training in reward fundamentals (ex. GRP certification) 
• 2-3 years reward / payroll experience 
• Experience in creating dynamic tools and models to interpret and analyse data.

Knowledge

• Understand the legal and regulatory environment relating to employee reward. 
• Experience in REMChannel reporting and data extraction. 
• Some financial knowledge (recommended) e.g. basic understanding of financial statements and the budgeting process. 

Skills

• Strong written and verbal communication skills 
• Ability to write communication tailored for the specific audience 
• Business acumen
• Good consulting skills 
• Ability to build and maintain good internal and external relationships
• Strong negotiation and interpersonal skills
• Strong presentation skills 
• Strong problem solving and analytical skills. Ability to analyse and interpret statistical data/HR analytics
• Ability to conduct self in a professional manner at all times
• Team Player
• High degree of self-management, displaying an organised and measured approach to the workload and the clients – strong planning and organising skills
• Project Management skills
• Ability to formulate and analyse data from a variety of sources
• Trend and analysis of remuneration information