Remuneration and Benefits Analyst at Old Mutual South Africa

Job Description

• The Remuneration and Benefits Analyst is responsible for Remuneration and Benefits data management, systems and analytics.

Data integrity and management

• Responsible for ensuring data accuracy and data extraction from various internal and external sources.
• Manage ad hoc and cyclical data validation processes across the group.
• Identify gaps and mitigate risk by supporting the business with proactive data management mechanisms.

Systems

• Support the team with scoping business requirements and facilitating the Workday implementation of requirements in collaboration with People Analytics and Technology Team.
• Proactively manage Workday requirements based on gaps and needs identified by the team and through annual processes.
• Support the administration of compensation and advanced compensation Workday modules, including testing of new builds.
• Partner with other HC practices to ensure alignment of processes on Workday.
• Drive the training of the Remuneration and Benefits function on all Workday modules.

Remuneration and Benefits Analytics

• Extraction, manipulation and analyisis of data from multiple sources.
• Provide insight for stratefic decision making and repoting purposes
• Proactively identify opportunities, eficiencies and recommendation within Remuneration and Beneifts through data analytics.
• Modelling, dashboard developments and statistical analysis for remuneration and Benefits practice.

Requirements: Skills, Qualifications and Experience required

Qualification and experience:

• Bachelor’s Degree preferable Mathematics and Statistics.
• Data Science and Analytics background.
• Experienced specialist with at least 3-5 years’ in data management and Analytics.
• Advance excel with Power Query and Power Pivots.
• Power BI.
• R or any other statistical language advantages.
• Technical Competencies
• Problem solving
• High Attention to details.
• Data modelling, data analysis and data visualisation.
• Ability to tell a story using data.
• Statistical analysis.
• Systems analysis and testing.
• Demonstrated experience in remuneration analysis and application.
• Behavioral Competencies
• Self-starter and taking ownership.
• First principles thinking.
• Agile mindset and responsible to quick delivery and turnaround
• Strong ability to collaborate.
• Places the customer first and strives to deliver high quality Remuneration and Benefits solutions to the business.
• Innovative and curiosity driven.
• Has high-energy and is resilient to change and challenges.
• Strives to continuously grow in technical ability.
• Self-driven and thrives in high change environments.

Skills

• Communication, Data Accuracy, Data Analysis, Data Analytics, Data Extraction, Data Integrity, Data Management, Data Science, Data Validation, Microsoft Power Business Intelligence (BI), Problem Solving, Statistical Analysis, Statistics, Teamwork

Education

• Bachelors Degree (B): Mathematical Statistics (Required)