Data Analyst at Old Mutual

Job Description

• This role is individually accountable for turning data into actionable insights. The incumbent is relentlessly curious and uses advanced analytical skills, tools and platforms to present data as information and create analytical solutions that are interactive and easy to understand.
• Import, transform, validate and model data with the purpose of understanding or drawing conclusions from the data in order to drive business decision making.
• Extract data from the database for analysis and interpretation purposes.
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
• Work with large data sets and implement error checking, data quality assessments and related activities; develop data visualizations, presentations or written reports as appropriate.
• Design and implement dashboards to ensure that all available information is displayed whilst ensuring accuracy.
• Define and implement approaches for capturing, storing, maintaining and retrieving corporate data.
• Mine, format and manipulate large amounts of data.
• Design efforts for the development and maintenance of the enterprise data repositories.
• Work with the data warehouse to maintain, modify, and implement processes for reporting automation.
• Document data cleaning, reporting, and analysis processes, and identify issues/solutions where needed.
• Analyse small and large data sets from various reporting sources and tying data together into a working model.
• Use statistical programs and query tools to organize large data sets into workable formats and generate meaningful analysis and reports.
• Apply existing knowledge and internal best practice to build on existing data models to improve quality, performance, external interfaces, constraints and accuracy of output.
• Identify and interpret trends or patterns in complex data sets with attention to detail, speed and accuracy.
• Perform regular investigations and reporting on the results and trends, as well as making recommendations.
• Explore existing data and recommend additional sources of data for improvements.
• Develop recommendations for migration of the existing systems
• Drive change methodology and ensure implementation across all projects
• Work with partners to develop and launch intuitive solutions in quick bursts that maximize user adoption and effectively manage resistance to the change.
• Continuous improvement to ensure effective service
• Ensure statutory and legislative knowledge is always current in order to advise the business on corrective solutions to mitigate risks and to improve the customer experience whilst complying with governance requirements.
• Ensure adherence to organisational policies, practices and procedures.
• Identify solutions to enhance cost effectiveness and increase operational efficiency.
• Align own behaviour with the organisation culture and values.
• Share and transfer product, process and systems knowledge to colleagues and team members.
• Share knowledge on, and participate in the creation of new standards, control systems and procedures to improve service delivery.
• Actively share information with other team members regarding successes, issues, trends and ideas.

Experience Knowledge & Skills:

• Bachelor’s degree in Information Systems or Technology.
• 3 years’ experience in data analytics within Insurance/Financial industry.
• 1 – 2 years’ experience in using software such as Python, R, T SQL and Power BI.

Skills

Competencies

• Action Oriented
• Collaborates
• Cultivates Innovation
• Customer Focus
• Drives Engagement
• Drives Results
• Manages Ambiguity
• Manages Complexity

Closing Date

• 18 December 2025