Senior Data Analyst

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

The Senior Data Analyst will play a key role in building and maintaining robust data frameworks that support performance attribution, risk analysis, and client reporting across the investment platform.
This role will focus on establishing high-quality, integrated investment data structures that serve as the “golden source” for investment and client reporting processes. Working closely with investment professionals, risk teams, and technology partners, the role will help ensure data accuracy, integrity, and accessibility across systems supporting portfolio management and performance analysis.

What You’ll Be Trusted With

Performance and Risk Data Office Leadership

• Establish and help lead a centralized Performance and Risk Data Office, supporting the development of data governance frameworks and standard operating procedures.
• Drive data standards and best practices to ensure consistency, reliability, and transparency across investment data processes.

Data Governance and Integrity

• Implement and maintain rigorous data quality controls to ensure accuracy and compliance with internal standards and global regulatory frameworks such as GIPS.
• Monitor and improve the integrity and consistency of performance and risk datasets across systems.

Performance Attribution and Automation

• Partner with Performance and Risk teams to automate attribution models within Eagle Investment Systems, enabling accurate decomposition of returns across asset classes including equities and multi-asset portfolios.
• Enhance efficiency and scalability of attribution processes through automation and system optimisation.

Automated Data Validation

• Design and implement automated validation processes to detect and flag anomalies in corporate actions, pricing, and benchmark weights before data is distributed to internal teams or clients.

Data Infrastructure and ETL Development

• Support the development of scalable data infrastructure and robust ETL pipelines to integrate complex datasets from benchmark providers and market data sources.
• Ensure data is structured, normalised, and accessible to support investment analysis and reporting.

Cross-Functional Collaboration

• Act as a key liaison between technology teams and investment professionals to prioritise data initiatives that enable better investment insights and decision-making.
• Contribute to projects that enhance the firm’s data capabilities and investment reporting environment.

Who you are

You are a data-driven professional who thrives in complex environments and enjoys translating investment data into meaningful insights that support decision-making.

You bring:

• An advanced degree in Data Science, Computer Science, Mathematics, Statistics, or a related quantitative discipline.
• Approximately 8 years’ experience working in data analytics, data management, or data strategy roles, preferably within asset management, financial services, or investment environments.
• Strong understanding of data governance, data quality management, and data architecture principles.
• Experience working with investment data, including exposure to performance attribution, portfolio analytics, or risk reporting environments.
• Proven ability to work with large and complex financial datasets, including market data, benchmark data, and corporate actions.
• Experience with data analytics tools, automation techniques, and data pipeline development.
• The ability to translate technical data concepts into clear insights for both technical and non-technical stakeholders.
• Professional certifications such as Certified Data Management Professional (CDMP) or Certified Analytics Professional (CAP) would be advantageous.

The Strengths You’ll Bring

• Strong analytical and problem-solving skills with the ability to interpret complex data environments.
• Ability to collaborate effectively with both technical teams and investment professionals.
• Excellent communication and presentation skills, with the ability to translate technical concepts into clear insights.
• High attention to detail and commitment to data quality and integrity.
• Strong organisational skills and the ability to manage multiple priorities in a dynamic environment.
• A proactive mindset with a focus on continuous improvement and innovation.

Let’s Succeed Together

At OMIG, how you work matters just as much as what you do. Our culture reflects our commitment to collaboration, accountability and innovation.

If you're ready to grow, lead and make a meaningful impact, we look forward to meeting you.

Skills

Action Planning, Business Requirements Analysis, Computer Literacy, Database Administration, Database Reporting, Data Compilation, Data Controls, Data Management, Data Modeling, Executing Plans, Gap Analysis, Information Technology (IT) Support, IT Architecture, IT Implementation, IT Network Security, Market Analysis, Test Case Management, User Requirements Documentation

Competencies

Action OrientedBusiness InsightCultivates InnovationDrives ResultsEnsures AccountabilityManages ComplexityOptimizes Work ProcessesPersuades

Education

NQF Level 7 - Degree, Advance Diploma or Postgraduate Certificate or equivalent

Closing Date

20 March 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!