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HR Data Analyst
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HR Data Analyst Business Unit: Discovery Bank Function: Data Analysis About Discovery Discovery’s core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society. About Discovery Bank Discovery Bank is a bank like no other – a shared-value bank, designed with our clients in mind. We’re all about sharing the value that clients create when they manage their money well, back with them through exceptional interest rates and rewards. Our Vitality Money programme measures how well clients manage their finances, informs them of what it means to be financially healthy, and empowers them with the knowledge to get enhanced rewards for managing their money well. If you’re adaptable, a problem-solver, always questioning the way things are done, passionate about doing what is right, and obsessed with providing a quality service experience, we have a job for you where you can be your best in an environment that’s safe and nurturing. Job Purpose The HR Data Analyst is responsible for providing data-driven insights and analytics to support HR decision-making processes. This role focuses on analysing a range of people-related data including demographics, remuneration and incentives, leave trends, exit and stay interviews etc., to develop comprehensive insights and accurate people reports and dashboards. We are looking for an intelligent, self-driven person who has a passion for problem solving and who delights in using data to provide insights for business improvement. Areas of responsibility may include but are not limited to: Data Analysis & Reporting Track and maintain the integrity (completeness and quality) of people related data Analyse exit and stay interview data to identify key drivers of employee turnover and retention Track leave usage, trends and risks to ensure optimal workforce planning and compliance Develop and maintain an Exco “People dashboard” to provide real-time insights using HR metrics Identify trends and development needs based on Individual Development Plans Ad-hoc reporting based on business requests Design standard reports for line managers and HR through Smart People Submit regulatory reports e.g. Employment Equity, Annual Training Report and Workplace Skills Plan Monitor and report on working model adherence Remuneration Analyse trends, anomalies and opportunities for improvement Provide input to Bank Board and Remco reports Complete income differential analysis and recommendations Regularly review variable pay (actual vs budget) and provide input on recalibration of targets Analyse overtime trends to manage costs and identify root causes Complete all regulatory reports Stakeholder Collaboration Work closely with business and the HR team to understand their data needs and provide relevant insights Collaborate with IT and data management teams to ensure data integrity and accuracy Act as liaison with the central People team on data and system issues and enhancements Present findings and recommendations to senior management and other stakeholders. Compliance and Process Improvement Identify and implement process improvements to enhance data collection, analysis, and reporting Develop and maintain documentation for data analysis processes and methodologies Provide feedback on people processes to ensure the integrity of the data Ensure compliance with data privacy regulations and company policies Stay updated on industry best practices and emerging trends in HR analytics Education, Experience and Skills Bachelor’s degree in mathematics, finance, statistics, or related analytical field Minimum 3 years’ experience in Analytics, using Excel, PowerBI and similar tools Exposure to remuneration data analytics would be advantageous Strong analytical and quantitative skills, including proficiency in data analysis tools and techniques Personal Attributes and Skills Strong analytical and problem-solving skills Ability to work with, analyse and report on data Ability to deal with complexity, ambiguity and constant change Commitment to excellence and high-quality delivery Mature with high EQ and ability to work with confidential information Ability to communicate effectively EMPLOYMENT EQUITY The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply. #J-18808-Ljbffr
