Public listing

Senior Data Analyst (Cape Town)

Old Mutual (South Africa) Pinelands
  • ListedPosted 1 day ago
  • SourceWorkday

Role overview

About the role

Description supplied by the original job listing.

Let's Write Africa's Story Together!
Old Mutual is a firm believer in the African opportunity and our diverse talent reflects this.
Job Description
This role is responsible for the delivery of strategic data tools and analytics initiatives within the Old Mutual Corporate Data Team. The focus is on developing, maintaining, and enhancing data-driven reporting and insight capabilities that support improved retirement outcomes and long-term value for members, employers, intermediaries, and Old Mutual Corporate stakeholders.
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.
To drive the ongoing enhancement of Old Mutual Corporate’s Data portfolio through reporting innovation, data intelligence, stakeholder engagement and business development. The role contributes to client value creation, improved member outcomes and the achievement of strategic business objectives.
Duties and Responsibilities – Includes but is not limited to :
The 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.
Day-to-day operations will include:
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
Technical Knowledge
Proficient knowledge of technical data and visualisation platforms
Quality Assurance
Adheres to service and quality standards.
Produce accurate outputs within required deadlines.
Operational Efficiency
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.
Relationship Building
Builds relationships with stakeholders, seniors, peers and/or colleagues that impact across business areas.
Personal Effectiveness
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.
Knowledge and Technical Capabilities
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
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Skills
Action Planning, Application Development, Business Requirements Analysis, Computer Literacy, Data Compilation, Data Controls, Data Management, Data Modeling, Executing Plans, Gap Analysis, IT Network Security, Management Reporting, Market Analysis, Policies & Procedures, User Requirements Documentation
Competencies
Action OrientedBusiness InsightCultivates InnovationDrives EngagementDrives ResultsManages AmbiguityManages ComplexityOptimizes Work Processes
Education
NQF Level 7 - Degree, Advance Diploma or Postgraduate Certificate or equivalent
Closing Date
19 November 2026 , 23:59
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!

Skills
Python, SQL, Data Analysis, Data Modeling, Power BI, Product Management, Project Management, Business Development, Negotiation, Risk Management

Skills from the listing

  • Python
  • SQL
  • Data Analysis
  • Data Modeling
  • Power BI
  • Product Management
  • Project Management
  • Business Development
  • Negotiation
  • Risk Management

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