Data Quality & Analytics Analyst

Old Mutual Limited; Johannesburg; On-site; ZAR 520,000 - 900,000; Full time

Job summary

Old Mutual is seeking a Data Quality Analyst to profile, validate, monitor, and improve data quality across the organization and support customer insights and business decision-making with accurate data.

The role bridges business requirements and technical solutions by advising on data quality controls, governance practices, and data management. You will work with diverse data sources and engage with stakeholders to ensure high-quality data outputs.

Qualifications

• Relevant experience in data analysis, data quality management, data governance, or data management.
• Experience with large datasets and enterprise systems.
• Knowledge of data profiling, validation, and quality metrics.
• Ability to extract, transform, and analyse data using established standards.

Responsibilities

• Profile, validate, monitor and improve data quality across the organization.
• Bridge gap between business requirements and technical solutions via data quality controls and governance practices.
• Manage basic data management system aspects with guidance from senior colleagues.
• Partner with stakeholders to ensure data quality and accuracy across critical processes.
• Extract, transform, validate, and analyse data from various sources.
• Maintain data recording systems including archiving, updating, reconciliation, and QA activities.
• Interpret data to identify trends, anomalies and improvement opportunities.
• Provide support to business users on data management and quality practices.

Skills

SQL

Power BI

Python

R

Alteryx

Advanced Excel

Education

BCom Degree in Data Analytics, Information Systems, Computer Science, Statistics, Mathematics, Business Analytics or related field

Matric

Job description

Old Mutual is seeking a Data Quality Analyst to profile, validate, monitor, and improve data quality across the organization and support customer insights and business decision-making with accurate data.

The role bridges business requirements and technical solutions by advising on data quality controls, governance practices, and data management. You will work with diverse data sources and engage with stakeholders to ensure high-quality data outputs.