Senior Data Analyst (Cape Town)
Quick Summary
The role sits within the Reporting and Data Enablement function in the Corporate Data Team and reports to the Reporting and Data Enablement manager.
Let's Write Africa's Story Together!
Old Mutual is a firm believer in the African opportunity and our diverse talent reflects this.
Old Mutual Corporate aims to be a leading provider of data-driven insight in the retirement industry, enabling informed decision-making through high-quality, actionable analytics. This role plays a critical part in advancing that ambition by translating complex data into meaningful insights that influence strategy, fund design, and customer outcomes.
Responsibilities
~1 min readThe role sits within the Reporting and Data Enablement function in the Corporate Data Team and reports to the Reporting and Data Enablement manager. We are seeking an experienced Senior Data Analyst who will take ownership of the technical delivery, operational stability, and ongoing enhancement of a suite of analytical dashboards, calculators, and decision-support tools.
The team currently manages multiple data products built on collaborative and advanced analytics platforms, including SQL, Python, R and Power BI. The incumbent will be accountable for the technical operation, governance, and risk management of these tools, ensuring data accuracy, robustness, performance, and scalability. Strong hands-on platform expertise is therefore essential.
In addition, the role will work closely with the Head of Data to design and build new data flows, analytical models, dashboards, and tools aligned to strategic business priorities. This includes contributing to the evolution of the Corporate’s data capability and supporting the delivery of broader data and insight strategies.
The role requires a strong understanding of retirement and financial services contexts, as well as the ability to communicate insights clearly and credibly to both technical and non-technical audiences. The ideal candidate will bring a well-rounded skill set across data analysis, business intelligence, solution delivery, stakeholder engagement, and project execution, with a clear focus on driving impact through insight.
- Collecting, sanitising, analysing and interpreting data to provide insights primarily to internal and management teams for business use.
- Visualising internal and external data flows and sets for valuable insights
- Assisting in designing and developing new or enhanced reports, dashboards, and other data visualisation tools to help internal and external stakeholders understand and act on data insights.
- Managing the technical operations of our data-driven tools, including troubleshooting and maintenance.
- Assisting in collaboration with cross-functional teams to identify opportunities for data-driven solutions.
- Staying up-to-date with industry trends and best practices in data analysis and business intelligence.
- Mathematically modelling scenarios and future projections/scenarios
- Managing and prioritising multiple projects simultaneously, ensuring timely delivery and high-quality results.
- Presenting insights and results to internal and external stakeholders
- Proficient knowledge of technical data and visualisation platforms
- Adheres to service and quality standards.
- Produce accurate outputs within required deadlines.
- Adheres to year planners of required deliveries of reports and outputs
- Generally operates and liaises with stakeholders
- Ensures that all deadlines and SLA requirements are met.
- Continually looks for ways to improve time standards by streamlining processes and passing this on to the relevant person/team.
- Manages and identifies enhancements required to improve operational effectiveness and process automation.
- Builds relationships with stakeholders, seniors, peers and/or colleagues that impact across business areas.
- Accepts and lives the company values.
- Accountable for service delivery through self and others.
- Collaborates effectively with others to achieve individual results.
MINIMUM QUALIFICATIONS/EXPERIENCE (REQUIRED FOR THE JOB)
- Grade 12 with a Bachelor's degree in data analysis, statistics, mathematics, data science, business intelligence, or a related field.
- 5+ years of experience in data analysis, business intelligence, or a related field.
- Proficient in platforms like R, Python, SQL, PowerBI and other data analysis tools.
- Strong project management skills, with the ability to manage multiple projects simultaneously.
- Excellent ability to communicate complex data insights to non-technical stakeholders.
- Strong attention to detail and problem-solving skills.
- Strong understanding of the Retirement and Financial services industry.
- Product management and lifecycle thinking
- Business development and sales enablement
- Market research and competitor analysis
- Commercial acumen and opportunity assessment
- Data analysis and insight generation
- Stakeholder and relationship management
- Business case, proposal and presentation development
- Project coordination and cross-functional delivery
- Understanding of governance, risk and regulatory considerations
COMPETENCIES REQUIRED
- Customer focus
- Strategic thinking
- Drive for results
- Collaboration and relationship building
- Influencing and negotiation
- Innovation and continuous improvement
- Learning agility
- Problem solving and sound judgement
- Clear communication and presentation confidence
na
The appointment will be made from the designated group in line with the Employment Equity Plan of Old Mutual South Africa and the specific business unit in question.
The Old Mutual Story!
Location & Eligibility
About this job
- Posted
- 1 day ago
Listing Details
- Posted
- November 13, 2026
- First seen
- November 13, 2026
- Last seen
- November 13, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- November 14, 2026
Signal breakdown
Similar Data Analyst jobs
View all →Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
No spam. Unsubscribe at any time.