Job title : Remuneration and Benefits Analyst (Pinelands)
Job Location : Western Cape,
Deadline : December 22, 2024
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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)
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