People Data and Analytics Consultant at Old Mutual

6 MONTH CONTRACT

This role supports Central Human Capital CoE’s, Segments as well as other stakeholders to enable faster, appropriately informed and more effective decision making using relevant data, across the OML group.

The role will supports the People and Data Analytics Consultant to partner with the OML Data and Digital and IT teams to enhance the employee value proposition through digital employee journeys and experiences.

• Assists to solve business problems by the on-going interpretation of data and working with the various Segments and CoE’s to understand the current pain points.

• Assists with the conversion of people data insights into actionable insights for different business contexts

• Assists to craft stories using people insights, and communicates findings and recommendations on critical initiatives and influences leaders to take on those actions

• Identifies continuous improvement projects through root cause problem solving and manages the analysis, design and implementation of projects through multi-functional teams, including stakeholder and project management.

• Pilots, assesses, adjusts and ensures implementation of solutions

•  Assists in building a people data warehouse

Requirements:

• Actuarial Science degree

• Excellent verbal and written communication skills; can effectively convey complex concepts to all stakeholders; able to influence business stakeholders and drive change

• Able to work independently and drive projects with cross-functional contributors from initiation to conclusion with little supervision, while leading a small team.

• Excellent quantitative skills, including data manipulation, statistical analysis, and visualization.

• Experience with Statistical packages such as SAS or related modelling software.

• Insurance industry experience would be an added advantage.

• Natural curiosity and out of the box thinker

• Strong interpersonal and relationship building skills.

• Highly adaptable and be able to manage change and ambiguity with ease.

• Excellent problem solving ability

• Preferred abilities and skills:

  • Experience working with people related data

  • Familiarity with analysis applications such as Python, R, or similar

  • Familiarity with visualization applications such as Qlik, Tableau

  • Experience with extracting data from HR information systems, such as Workday or similar cloud systems