Job Description

Closing Date 2025/02/21
Reference Number MMH250206-6
Job Title Group Reward Data Analyst
Position Type Permanent
Role Family Business Intelligence
Cluster Human Capital
Remote Opportunity Some of the time
Location - Country South Africa
Location - Province Western Cape
Location - Town / City Cape Town
IntroductionThrough our client-facing brands Momentum Group with Multiply (wellness and rewards programme), and our other specialist brands, including Guardrisk and Eris Property Group, the group enables business and people from all walks of life to achieve their financial goals and life aspirations.We help people grow their savings, protect what matters to them and invest for the future. We help companies and organizations care for and reward their employees and members. Through our own network of advisers or via independent brokers and utilizing new platforms Momentum group provides practical financial solutions for people, communities and businesses. Visit us at
Disclaimer As an applicant, please verify the legitimacy of this job advert on our company career page.
Role PurposeThe role is crucial in contributing to shape the Group Reward data requirements, review of the data quality and accuracy for effective reporting within Group Reward. This includes analyzing data, creating reports, using insights to improve business processes in line with relevant legislation and Momentum Group requirements. The individual should possess a strong knowledge of Remuneration legislation, business processes, and group reward policy requirements. They must also stay updated on changes and emerging reward needs.
Requirements

• 4-5 years experience as a data/reporting analyst preferably within a Rewards or HR context.
• Proven technical skills working with large amounts of data (advantageous)
• Degree in Computer Science, Information Management and or Statistics or related field.
• 3-5 years' experience as a data analyst or related field (essential)
• Experience in data analysis and visualization tools (e.g. SQL, Qlikview, PowerBI etc.)
• 3 5 years Reward experience (GRP Preferred)
• Payroll experience (advantageous)

Duties & ResponsibilitiesData Reporting and Insights

• Create business processes to identify and report important data points within Group Reward. This will facilitate seamless reporting on standardized reports for Group Reward including Payroll, Department of Labour, Survey houses, and internal stakeholders thus ensuring accurate and timely distribution of management data reports.
• Utilise data to provide comprehensive reports and insights to management teams, effectively telling the story behind the numbers. These data-driven insights will support strategic decision-making in group reward, helping align reward initiatives with organizational goals and identify areas for investment.
• Collaborate with Group Reward teams to ascertain data and reporting requirements.
• Present data and insights in clear and concise reports, presentations, and visualisations.
• Stay abreast of emerging trends and best practices in reward analytics.
• Work closely with the wider reward team to continuously improve and optimize initiatives based on data-driven feedback.
• Assist the Group Reward team with the Annual Remuneration Review data, reporting and analysis.

Data Analytics

• Analyse reward data and find patterns, trends, and translate into decision making insights and information.
• Provide insights to stakeholders on reports, making relevant recommends as appropriate.
• Identify reports, processes, or models to enhance business performance aligned with Group Reward priorities.

Data Governance, Quality Assurance and Risk Management

• Utilise established data governance processes to monitor reward data, safeguarding data integrity, confidentiality and overall data quality for Group Reward.
• Assess opportunities for enhancing the process of sharing and receiving sensitive reward data within the organisation.
• Manage and maintain the confidentiality and access to reward data.
• Collaborate with the People Analytics team to identify and address any data-related risks.
• Ensure that reward data is collected and reported in compliance with applicable Protection of Personal Information (POPI) regulations and audit requirements.
• Monitor the accuracy of collected data across all platforms by conducting monthly data audit checks and consulting with relevant business units as and when necessary.
• Partner, coordinate and capacitate by way of reports to assist with the annual remuneration review.
• Create detailed specifications for data sources, data flows, data transformations, data storage and reporting.
• Interact and collaborate with Human Capital technical and analytics teams to identify data sources, find data definitions for master and meta data as well as formulate and implement solutions and reporting dashboards.
• Evaluate changes and updates to source production systems that could impact reporting and eventually business decisions.
• Testing, debugging and reconciliation of data to source data to ensure data integrity.
• Participation in designated projects within reward teams.
• Work together with the People Analytics team to offer suggestions for improving initiatives using data-driven insights.
• Clearly communicate complex data findings to Group Reward stakeholders, facilitating decision-making based on data.

Competencies

• Strategic mindset
• Agile mindset
• Report writing
• Excellent communication
• Advanced presentation skills.
• Data analytics and visualization skills
• Great attention to detail
• Advanced Excel
• Analytical skills
• Business acumen
• Ability to work independently and in a team
• Technologically advanced
• Conceptual thinking
• Strong Analytical and problem-solving skills
• Planning and organizing
• Results driven
• Professional & ethical
• Innovative

PolicyWe are committed to Employment Equity, diversity and inclusion when recruiting internally and externally. All appointments are made in alignment to our Employment Equity goals and we encourage people with disabilities to apply.

Momentum Group