Junior Data Quality Analyst

Old Mutual Life Assurance Company (SA) Ltd; Johannesburg; On-site; ZAR 240,000 - 320,000; Full time

Job summary

Old Mutual Life Assurance Company (SA) Ltd invites applications for a Junior Data Quality Analyst who will support data quality profiling, validation, monitoring and improvement across the organisation. The role contributes to customer insights and business decision-making by helping to ensure data is accurate, complete, consistent, and reliable.

You will work with business and technical teams to execute established data quality controls, document findings, support remediation activities,

Qualifications

• Matric and equivalent qualification.
• A relevant diploma or bachelor’s degree in Data Analytics, Information Systems, Computer Science, Statistics, Mathematics, Business Analytics, or a similar field.
• Zero to two years’ relevant experience in data analysis, data quality, data governance, data management, or a related environment; graduate programme, internship, or learnership experience will be considered.
• Basic experience working with datasets, spreadsheets, and structured reports.
• Working knowledge of SQL and Microsoft Excel is required.
• Exposure to Power BI, Python, R, Alteryx, or similar analytical tools is advantageous.
• Basic understanding of data quality dimensions, databases, data governance, and data privacy principles is advantageous.

Responsibilities

• Assist with routine data management activities using established processes, standards, and procedures.
• Extract, organise, reconcile, and validate data from approved sources under guidance.
• Maintain data records and supporting documentation, including updates, reconciliations, and audit evidence.
• Identify basic trends, anomalies, duplicates, and missing values, and communicate findings clearly.
• Follow data security, privacy governance, and records-management requirements.
• Perform data profiling to assess data completeness, accuracy, consistency, uniqueness, validity, and timeliness.
• Execute approved data validation checks and established data quality rules.
• Monitor data quality metrics and flag exceptions, recurring defects, and emerging issues.
• Prepare routine data quality reports and update scorecards using agreed templates.
• Log, track, and follow up on data quality issues through the approved issue-management process.
• Support data cleansing and remediation activities and validate results after corrections are applied.
• Assist with root cause analysis by gathering evidence, documenting observations, and testing potential causes.
• Escalate material risks, unresolved defects, and control failures to senior team members.
• Support the maintenance of business definitions, metadata, data lineage, data dictionaries, and control documentation.
• Apply established data governance standards and data quality requirements in day-to-day work.
• Participate in data stewardship and continuous-improvement activities as assigned.
• Collaborate with business users, analysts, developers, data engineers, and governance teams to clarify data issues.
• Provide timely status updates and explain findings in clear, accessible language.
• Manage assigned tasks, meet agreed deadlines, and seek guidance when priorities or requirements are unclear.
• Build knowledge of the organisation’s data, systems, controls, and business processes through coaching and practical experience.

Skills

SQL

Excel

Power BI

Python

R

Alteryx

Education

Bachelor’s degree or diploma in Data Analytics/Information Systems/CS/Statistics/Math/Business Analytics

Tools

Power BI

Job description

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 Junior Data Quality Analyst supports the profiling, validation, monitoring, and improvement of data quality across the organisation under the guidance of experienced colleagues. The role contributes to customer insights and business decision-making by helping to ensure that data is accurate, complete, consistent, and reliable. The analyst works with business and technical teams to execute established data quality controls, document findings, support remediation activities, reporting and elevate issues appropriately.

Key Result Areas

Core Data Management & Data Operations

• Assist with routine data management activities using established processes, standards, and procedures.
• Extract, organise, reconcile, and validate data from approved sources under guidance.
• Maintain data records and supporting documentation, including updates, reconciliations, and audit evidence.
• Identify basic trends, anomalies, duplicates, and missing values, and communicate findings clearly.
• Follow data security, privacy governance, and records-management requirements.

Data Quality Management

• Perform data profiling to assess data completeness, accuracy, consistency, uniqueness, validity, and timeliness.
• Execute approved data validation checks and established data quality rules.
• Monitor data quality metrics and flag exceptions, recurring defects, and emerging issues.
• Prepare routine data quality reports and update scorecards using agreed templates.
• Log, track, and follow up on data quality issues through the approved issue-management process.
• Support data cleansing and remediation activities and validate results after corrections are applied.
• Assist with root cause analysis by gathering evidence, documenting observations, and testing potential causes.
• Escalate material risks, unresolved defects, and control failures to senior team members.

Data Governance & Documentation

• Support the maintenance of business definitions, metadata, data lineage, data dictionaries, and control documentation.
• Apply established data governance standards and data quality requirements in day-to-day work.
• Participate in data stewardship and continuous-improvement activities as assigned.

Stakeholder Support & Development

• Collaborate with business users, analysts, developers, data engineers, and governance teams to clarify data issues.
• Provide timely status updates and explain findings in clear, accessible language.
• Manage assigned tasks, meet agreed deadlines, and seek guidance when priorities or requirements are unclear.
• Build knowledge of the organisation’s data, systems, controls, and business processes through coaching and practical experience.

Skills, Qualifications and Experience required:

• Matric and equivalent qualification.
• A relevant diploma or bachelor’s degree in Data Analytics, Information Systems, Computer Science, Statistics, Mathematics, Business Analytics, or a similar field.
• Zero to two years’ relevant experience in data analysis, data quality, data governance, data management, or a related environment; graduate programme, internship, or learnership experience will be considered.
• Basic experience working with datasets, spreadsheets, and structured reports.
• Working knowledge of SQL and Microsoft Excel is required.
• Exposure to Power BI, Python, R, Alteryx, or similar analytical tools is advantageous.
• Basic understanding of data quality dimensions, databases, data governance, and data privacy principles is advantageous.

Competencies

• Attention to detail and accuracy
• Analytical thinking and basic problem-solving
• Data quality and data integrity awareness
• Clear written and verbal communication
• Teamwork and stakeholder support
• Planning, organisation, and time management
• Accountability and willingness to elevate concerns
• Curiosity, learning agility, and openness to feedback
• Commitment to continuous improvement na

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, Collaborates, Cultivates Innovation, Customer Focus, Drives Engagement, Drives Results, Manages Ambiguity, Manages Complexity

Education

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

Closing Date 08 October 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.

Old Mutual Story!

Old Mutual is a premium African financial services organisation that offers a broad spectrum of financial solutions to retail and corporate customers across key market segments in 14 countries. The lines of business include Life and Savings, Property and Casualty, Asset Management and Banking and Lending. We are rooted in our purpose of Championing Mutually Positive Futures Every Day and believe that a great customer experience is anchored in a great employee experience.