3 Data Quality Manager jobs in Johannesburg

Job Purpose To both execute on and oversee multiple complex data initiatives, ensuring that relevant, high-quality data is available in a timely manner for various analytical processes. A key aspect of this role is the ability to understand and translate business requirements into high value insightful data solutions, perform impact analysis to assess scope and budgeting implications, and engage effectively with key stakeholders across the bank. The Senior Data Analytics Engineer must be adept at navigating the bank’s systems and data landscape, ensuring alignment between data initiatives and business objectives. The senior Data Analytics Engineer is responsible for optimizing the data engineering analysis process, mentoring junior and intermediate analysts, conducting performance reviews, and supporting professional development. Analytics Engineering Alignment Navigating the bank’s systems and data landscape, ensuring alignment between data initiatives and business...

Job Purpose To develop and maintain best practice models and assessment strategies in line with regulations (where applicable) in order to facilitate world class risk management and/or attainment of strategic objectives. Why Join Our Team Join a high-performing quantitative analytics team at Nedbank where data-driven decision-making shapes business success. This role offers the opportunity to influence strategic pricing, profitability and risk management solutions within Business and Commercial Banking. You will work with large and complex datasets, advanced modelling techniques, and senior stakeholders across the organisation, while contributing to innovative solutions that drive sustainable growth, client value and operational excellence. At Nedbank, you will be empowered to continuously develop your technical expertise, collaborate with industry-leading professionals and play a meaningful role in delivering impactful business outcomes. Job Responsibilities...

Job Purpose The purpose of the Data Engineer is to leverage their data expertise and data related technologies, in line with the Nedbank Data Architecture Roadmap, to advance technical thought leadership for the Enterprise, deliver fit for purpose data products, and support data initiatives. In addition, Data Engineers enhance the data infrastructure of the bank to enable advanced analytics, machine learning and artificial intelligence by providing clean, usable data to stakeholders. They also create data pipelines, Ingestion, provisioning, streaming, self service, API and solutions around big data that support the Bank's strategy to become a data driven organisation. Job Responsibilities Responsible for the maintenance, improvement, cleaning, and manipulation of data in the bank's operational and analytics databases. Data Infrastructure: Build and manage scalable, optimised, supported, tested, secure, and reliable data infrastucture eg using Infrastructure and...