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Senior Data Analyst (Cape Town)

oldmutual614 open roles

Where
Pinelands
Work mode
Hybrid
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Your applicationOpen nowSenior Data Analyst (Cape Town)oldmutual · Pinelands
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The clock on this job

Early applications get read.

14.0% of postings close within 7 days. Measured by our own scanner across the market. oldmutual postings stay open a median of 18 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.7%3 days
  3. 14.0%7 days
  4. 22.5%14 days
  5. 38.3%30 days
  6. 59.0%60 days
This job: posted today

oldmutual median: 18 days open

The posting

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

na

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 Oriented

Business Insight

Cultivates Innovation

Drives Engagement

Drives Results

Manages Ambiguity

Manages Complexity

Optimizes 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!

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