HR Business Analytics and Reporting Specialist

Durban University of Technology; Durban; On-site; ZAR 22,000 - 163,000; Full time

Job summary

A leading university in South Africa seeks an HR Business Analytics and Reporting Specialist to develop data strategies and implement reporting frameworks. This role requires a postgraduate degree and extensive experience in HR data analytics. Applicants should have a deep understanding of data visualization and reporting tools to support the Human Capital Services.

Qualifications

• 7-10 years’ experience in Human Resources field.
• Strong data analysis and reporting capabilities.
• Experience with HRMS/HRIS systems.

Responsibilities

• Develop strategies for effective data analysis and reporting.
• Design and implement dashboards for meaningful data presentation.
• Conduct data analysis to identify trends and insights.

Skills

Data Analysis

Reporting

Data Visualization

Education

Postgraduate degree in Human Resources Management or Statistics/Business Analytics

BSc/BA in Computer Science, Statistics, Data Management

Tools

POWER HEDA

Job description

HR Business Analytics and Reporting Specialist

HR Business Analytics and Reporting Specialist

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• A postgraduate degree in Human Resources Management (NQF level 7) and Statistics/ Business Analytics or an equivalent qualification is required OR BSc/BA in Computer Science, Statistics, Data Management, or a related field
• 7-10 years’ experience in Human Resources field, specialising in a broad shared service environment, with a strong data analysis and reporting capabilities, of which 5 years should be in Human Resources Information Systems, Reporting and Data Analytics in a corporate sector within a shared services environment
• Exposure to S189 consultation processes, inhouse or CCMA facilitated.
• Deep technical hands-on expertise in data analytics, data visualization, business intelligence, and reporting Proficiency in Human Resources Systems
• Experience with HR data, HRMS/HRIS systems experience (SaaS and on-premise ERP)
• Broad experience with analytic toolsets with ability to conduct advanced analytics in POWER HEDA and other tools as required.
  
  

Human Capital Services

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Post: HR Business Analytics and Reporting Specialist (Ref: HR36)

Minimum Requirements

• A postgraduate degree in Human Resources Management (NQF level 7) and Statistics/ Business Analytics or an equivalent qualification is required OR BSc/BA in Computer Science, Statistics, Data Management, or a related field
• 7-10 years’ experience in Human Resources field, specialising in a broad shared service environment, with a strong data analysis and reporting capabilities, of which 5 years should be in Human Resources Information Systems, Reporting and Data Analytics in a corporate sector within a shared services environment
• Exposure to S189 consultation processes, inhouse or CCMA facilitated.
• Deep technical hands-on expertise in data analytics, data visualization, business intelligence, and reporting Proficiency in Human Resources Systems
• Experience with HR data, HRMS/HRIS systems experience (SaaS and on-premise ERP)
• Broad experience with analytic toolsets with ability to conduct advanced analytics in POWER HEDA and other tools as required.
  
  

Summary Of Duties

• Develop strategies for effective data analysis and reporting.
• Design and implement dashboards that present data in a meaningful and actionable framework for leadership.
• Select, configure and implement analytics solutions.
• Define Institution-wide metrics and relevant data sources.
• Build systems to transform raw data into actionable business insights.
• Provide strategic support to the Human Resource function in the areas of people metrics, reporting, and advanced predictive analytic capabilities.
• Manage HR analytical tools, reporting and dashboards.
• Mine data and provide intelligence to produce credible reports for decision making.
• Conduct data analysis and discovery to identify trends and correlations to uncover insights.
• Provide business insights into Human Capital Services through data intelligence gathering and interpretation.
• Manage and guide the maintenance of employee data on the HR information system and for periodic reporting purposes.
• Maintain HR data to support HR analytical needs and ensuring accuracy and consistency of key data sets, reports and metrics.
• Produce and submit reports to enable informed decision making by executive management and relevant governance structures.
• Ensures compliance with relevant regulatory requirements.
• Ensures compliance with data protection regulations.
• Provides the necessary training to meet end users needs.
• Generates ad-hoc reports (for example, reports on turnover, hiring costs and benefits
• Collaborates with ICTS to perform regular tests and upgrades to the system.
• Optimise data integrity and ensure the provision of accurate information for governance and statutory reporting purposes.
• Ensure integrated HCS information systems for effective management reporting and query resolution.
• Develop predictive models for attrition, high performance, and recruiting demand identifies statistical analysis techniques required to deliver insights.
• Manage all analytics and reporting across the HCS team.
• Identify develop the key HR metrics and provide reports on key HR metrics in accordance with DUT’s reporting requirements.
• Improve upon current reporting standards by providing new functionality including canned reports, dashboards, predictive analysis, emailed reports, and mobile reporting capability.
• Draft and submit annual, quarterly and monthly reports required or delegated by Senior Director HCS
  
  

Please complete an official application for employment form found in the DUT website and send a detailed CV, copies of your ID, qualifications, and a cover letter.

Kindly Note

Communication will be entered into with short-listed candidates only. Only applications made on our application for employment form would be considered.

“While DUT strives for equal opportunities, preference will be given to suitable candidates in terms of the University’s equity policy” The University reserves the right NOT to make an appointment.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Human Resources

• Industries

  Higher Education

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