Intermediate Quality Data Analyst

oldmutual; Cape Town; On-site; ZAR 350,000 - 520,000; Full time

Job summary

Old Mutual seeks a Data Quality Analyst to profile, validate, monitor, and improve data quality across the organization, supporting customer insights and business decision-making.

The role bridges business needs and technical solutions by advising on data quality controls, governance, and data modelling to ensure high-quality data outputs.

Qualifications

• Matric
• BCom Degree in Data Analytics, Information Systems, Computer Science, Statistics, Mathematics, Business Analytics or a related field.
• Relevant experience in data analysis, data quality management, data governance, or data management.
• Experience working with large datasets and enterprise systems.
• 3-5 years' experience in the similar field will be advantageous.
• Required skills in: SQL, Power BI, Python, R, Alteryx, Advanced Excel or related tools

Responsibilities

• Core Data Management & Data Operations: manage data management system components and processes.
• Partner with stakeholders to ensure data quality, integrity, and accuracy across critical business processes.
• Demonstrate understanding of data architecture, governance, and data quality principles.
• Extract, transform, validate, and analyse data using established standards.
• Maintain data recording systems, archiving, updating, reconciliation, and QA activities.
• Interpret and analyse data to identify trends, anomalies, quality issues, and improvement opportunities.
• Provide support to business users on data quality practices.

Skills

Analytical thinking

Attention to detail

Stakeholder communication

Problem solving

Education

BCom Degree in Data Analytics or related field

Matric

Tools

SQL

Power BI

Python

R

Alteryx

Advanced Excel

Job description

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.

The Data Quality Analyst will work with diverse data sources to profile, validate, monitor and improve data quality across the organization.Support customer insights and business decision-making through the delivery of accurate, complete, and reliable data.

Bridge the gap between business requirements and technical solutions by advising on data quality controls, solution designs, and governance practices to ensure high-quality data outputs.

Key Result Areas - Includes but is not limited to:

Core Data Management & Data Operations

Manage basic aspects of the data management system with guidance from senior colleagues. This includes developing and operating basic elements of data management systems to deliver prescribed outcomes.

Partner with internal and external stakeholders to ensure data quality, data integrity, and accuracy across critical business processes.

Demonstrate understanding of data architecture, data governance, and data quality management principles.

Extract, transform, validate, and analyse data from various sources using established standards and methodologies.

Maintain data recording systems and processes, including data archiving, updating, reconciliation, and quality assurance activities.

Interpret and analyse data to identify trends, anomalies, quality issues, and opportunities for improvement.

Provide support and guidance to business users and stakeholders on effective use of data management systems and data quality practices.

Data Quality Management

Perform Data Profiling activities to assess completeness, accuracy, consistency, uniqueness, validity, and timeliness of data.

Conduct Data Validation to ensure adherence to business rules, regulatory requirements, and data governance standards.

Monitor ongoing Data Quality Metrics and identify trends, anomalies, and emerging quality issues.

Define, implement, and maintain Data Quality Rules and controls across key business datasets.

Produce and distribute Data Quality Reports that provide meaningful insights into data quality performance and areas requiring remediation.

Develop and maintain Data Quality Scorecards for business units, data domains, and critical data elements.

Track and report on Data Quality KPIs, ensuring alignment with business objectives and governance requirements.

Oversee and coordinate Data Cleansing Activities, ensuring defects are remediated and data issues are resolved sustainably.

Perform Root Cause Analysis of Data Defects and collaborate with business and technical teams to implement preventative controls.

Conduct periodic Data Quality Audits to assess compliance with established policies, standards, and controls.

Escalate significant data quality risks and recommend corrective actions to stakeholders and governance forums.

Support continuous improvement initiatives aimed at enhancing data accuracy, completeness, consistency, reliability, and usability.

Data Modelling & Governance

Design logical and physical data models for projects and change initiatives.

Collaborate with business analysts, developers, data engineers, and governance teams.

Ensure data models align with enterprise data governance standards and data quality requirements.

Optimise data models for performance, scalability, and maintainability.

Maintain metadata, business definitions, data lineage documentation, and data quality standards.

Support the implementation of enterprise data governance frameworks and data stewardship practices.

Stakeholder Engagement & Business Enablement

Apply knowledge of business operations and industry trends to support organizational objectives and enhance decision-making.

Anticipate stakeholder needs and balance competing priorities to deliver sustainable data quality outcomes.

Leverage emerging technologies and analytical tools to improve data quality monitoring, reporting, and operational efficiency.

Adapt approaches to accommodate changing business requirements and evolving data management practices.

Take ownership of data quality issues and drive resolution with urgency, accountability, and professionalism.

Collaborate across business and technology teams to promote a culture of data quality, accountability, and continuous improvement.

Skills, Qualifications and Experience required:

Matric

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

Relevant experience in data analysis, data quality management, data governance, or data management.

Experience working with large datasets and enterprise systems.

3-5 years' experience in the similar field will be advantageous.

Required skills in: (SQL, Power BI, Python, R Alteryx, Advanced Excel or related tools)

Competencies

Data Quality Management

Data Governance

Data Integrity

Root Cause Analysis

Metadata Management

Data Stewardship

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