Data Quality Analyst

X, bigly labs; Johannesburg; On-site; ZAR 550,000 - 850,000; Full time

Job summary

X, bigly labs in Johannesburg seeks a Data Quality Analyst to safeguard data across platforms, support regulatory compliance, and enable AI readiness through robust data quality frameworks. You will partner with data scientists, engineers and governance teams to ensure reliable analytics and scalable data solutions.

The role emphasizes designing data quality rules, monitoring critical datasets, and embedding validation in pipelines, with a strong focus on DAMA-DMBOK, POPIA, and GDPR compliance.

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Information Systems, or a related field.
• 5+ years of experience in data quality, data management, or data engineering roles.
• Proficiency in SQL, Python, and data profiling tools (e.g., Informatica, Talend, Great Expectations).
• Experience with BI and reporting tools (Power BI), including building and maintaining data quality dashboards and scorecards.
• Solid understanding of data science workflows, AI model lifecycle, and MLOps principles.
• Experience with cloud platforms (Azure, AWS, GCP) and data lakehouse architectures.
• Familiarity with data governance frameworks (e.g., DAMA-DMBOK), metadata management, and data privacy regulations (POPIA, GDPR).

Responsibilities

• Design and implement enterprise-wide data quality rules, standards, and monitoring processes to ensure the consistent, reliable, and trusted data for operational process analytics, reporting, and AI model development
• Establish and manage a data remediation backlog by triaging data quality issues across systems (severity/impact), assigning ownership, and tracking remediation progress to closure.
• Develop continuous monitoring and alerting for critical data assets, including thresholds, trend analysis, and escalation paths with data owners/stewards.
• Embed upstream validation at point of capture and in data pipelines (mandatory fields, format checks, controlled vocabularies, schema drift checks) to prevent reintroduction of quality issues.
• Collaborate with the data engineers and data science on model features and validate data pipelines, ensure data completeness to accelerate model development, improves model performance, and supports ethical AI deployment.
• Align with frameworks like DAMA-DMBOK, POPIA, GDPR, and internal governance policies to minimise regulatory risk and enhances organisational data stewardship.

Skills

SQL

Python

Data profiling

BI reporting

AI readiness

MLOps awareness

Data governance

Education

Bachelor’s degree in Data Science, Computer Science, Information Systems, or a related field

Tools

Informatica

Talend

Great Expectations

Power BI

Azure

AWS

GCP

Job description

Data Quality Analyst

We are X, bigly labs, Dis-Chem’s high-performance innovation hub; a place where bold ideas meet data, design, and radical customer focus to reimagine what healthcare can be.

Our mission is to power the future of healthcare by lowering costs, unlocking new possibilities, and improving access to healthcare for all South Africans. We do this through cutting-edge digital solutions that deliver smarter, more human, and truly patient-focused experiences. Here, your work is not limited to a whiteboard; it becomes real. It drives decisions, shapes experiences, and moves healthcare forward. We are driven by one big question: How do we use data and today’s technology to build breakthroughs to better health?

There’s only one question left: are you ready to make healthcare smarter, and actually mean it?

Data Quality Analyst ensures the integrity, accuracy, and reliability of enterprise data across platforms and domains. This role supports strategic decision-making, regulatory compliance, and AI readiness by embedding robust data quality frameworks and collaborating with data scientists, engineers and governance teams. The analyst will proactively identify data issues, implement remediation strategies and contribute to the development of scalable data quality solutions that align with modern data science and AI practices.

WHAT WE’RE LOOKING FOR?

Minimum

• Bachelor’s degree in Data Science, Computer Science, Information Systems, or a related field.
• 5+ years of experience in data quality, data management, or data engineering roles.
• Proficiency in SQL, Python, and data profiling tools (e.g., Informatica, Talend, Great Expectations).
• Experience with BI and reporting tools (e.g., Power BI), including building and maintaining data quality dashboards and scorecards.
• Solid understanding of data science workflows, AI model lifecycle, and MLOps principles.
• Experience with cloud platforms (Azure, AWS, GCP) and data lakehouse architectures.
• Familiarity with data governance frameworks (e.g., DAMA-DMBOK), metadata management, and data privacy regulations (POPIA, GDPR).

Advantageous

• Certifications in Data Governance, AI Ethics, or Machine Learning.
• Experience in healthcare, retail, or insurance.

WHAT YOU WILL BE DOING?

• Design and implement enterprise-wide data quality rules, standards, and monitoring processes to ensure the consistent, reliable, and trusted data for operational process analytics, reporting, and AI model development
• Establish and manage a data remediation backlog by triaging data quality issues across systems (severity/impact), assigning ownership, and tracking remediation progress to closure.
• Develop continuous monitoring and alerting for critical data assets, including thresholds, trend analysis, and escalation paths with data owners/stewards .
• Embed upstream validation at point of capture and in data pipelines (mandatory fields, format checks, controlled vocabularies, schema drift checks) to prevent reintroduction of quality issues.
• Collaborate with the data engineers and data science on model features and validate data pipelines, ensure data completeness to accelerate model development, improves model performance, and supports ethical AI deployment.
• Align with frameworks like DAMA-DMBOK, POPIA, GDPR, and internal governance policies to minimise regulatory risk and enhances organisational data stewardship.

WHO YOU ARE?

• Experience building data quality dashboards and automated reporting in Power BI.
• Understanding of data pipeline design, ETL/ELT processes, and orchestration tools.
• Skilled in identifying, analysing, and resolving data quality issues using structured methodologies.
• Familiarity with data governance frameworks (e.g., DAMA-DMBOK) and regulatory standards (e.g., POPIA).

Our values show up in how we think, build, and make choices that make an impact. We are building a culture that drives progress; one that fixes friction, chases what changes, and owns the outcome. We design with tomorrow in mind, ask sharper questions, and answer them with care, urgency, and systems that scale.

Think you’ve got energy, curiosity, and guts? Come hold the space, make it matter, and own a breakthrough.