295 Data Quality Analyst jobs in South Africa

Our client a leader in the gaming industry is seeking an experienced Data Quality Analyst to join their team based in Johannesburg.

MINIMUM REQUIREMENTS 

• Grade 12
• Bachelor’s Degree or similar relevant qualifications
• Verbal and written English Skills
• Numeracy skills (NQF 4)
• Computer literacy (NQF 4)
• 5 years in a gaming or data role
• Experience and broad knowledge of gaming operations and processes
• Sound knowledge of gaming systems and understanding of all gaming business processes, including casino admin and cash desk
• Experience in a Casino environment would be advantageous.

MAIN JOB FUNCTIONS  

• Promote and enforce effective data and information management practices across the Group.
• Support the Data Governance Manager in developing, implementing, and maintaining the Group’s Data Governance Program.
• Contribute to the design, enhancement, and enforcement of data policies, procedures, and standards to ensure consistent and high-quality data management.
• Demonstrate a thorough understanding of SOP alignment, compliance requirements, operational efficiency, and risk mitigation principles.
• Perform data profiling, validation, and quality assessments to identify inconsistencies, gaps, and inaccuracies across systems and datasets.
• Monitor, report, and track data quality metrics to ensure ongoing adherence to governance standards and to drive continuous improvement initiatives.
• Support root-cause analysis and issue resolution, collaborating with IT and business teams to implement corrective and preventative actions for data quality issues.
• Stay up to date with technological advancements and industry best practices in data quality and data management.
• Collaborate with key stakeholders across the business to support education, awareness, and adoption of data governance principles.
• Work independently or within a team environment to deliver high-quality, accurate, and consistent results.

More about the Area & Team: Purpose and Strategic Role
– Global Markets Data Management and Governance is responsible for ensuring that data is accurate, trusted, and well-governed across all domains. It provides oversight, defines standards, and drives initiatives that support regulatory compliance, operational efficiency, strategic decision-making, and enhanced revenue generation through data.

More about the project: The Data Quality Analyst will be responsible for ensuring the accuracy, completeness, and consistency of data within the company’s Global Markets systems.
This role involves developing and implementing data quality processes, establishing data quality metrics, and ensuring compliance with data governance frameworks. The ideal candidate will have experience in data analysis, data governance, and a strong understanding of financial markets and regulatory requirements.
The candidate must have experience in Financial Markets (trading) as well as strong data analysis and process engineering skills and functional knowledge for Global Markets

Job Description / Responsibilities: Key Responsibilities:
– Develop, document and implement data quality processes to ensure the accuracy, completeness, and consistency of data within Global Markets
– Establish data quality metrics and monitoring mechanisms to continuously assess and improve data quality, including relevant technical dashboards and processes
– Establish and implement data process workflows to ensure that data quality is infused as part of any business process
– Implement data governance frameworks, including data attestation and data lineage, to ensure the integrity, security, and usability of data
– Support the Global Markets data portfolio to ensure alignment with the company’s data strategy, business objectives, and enterprise data governance
– Ensure compliance with data legislations and regulations applicable to South Africa and other African and international countries where Global Markets operates
– Conduct thorough research on regulatory requirements and stay updated with changes in regulations
– Collaborate with various departments, including data producers, trading, risk management, and IT, to ensure data quality and governance
– Build data quality dashboards for anomalies with alerts to source owners for resolution
– Oversee and contribute to data remediation initiatives across Global Markets

Background and experience required: Qualifications and Experience:
– Relevant qualification in a related field, e.g., Computer Science, Data Science, Business Analytics, Information Management
– Minimum 5 years of experience in Investment Banking / Capital Markets IT and Data domain5-10 years of experience in a business and data analysis role working in a Global Markets environment
– Excellent analytical and problem-solving skills
– Good working experience with Cloud technologies, especially AWS
– Strong written and verbal communication skills
– Ability to work collaboratively with various departments

Must-have Skills (Mandatory Skills): – Good understanding of asset classes such as Equity, Fixed Income, Credit, FX, commodities, Interest Rates, Collateral, and their product lifecycle
– Working experience on FMA, EMIR, Dodd-Frank, CFTC, and other relevant Markets Regulatory Reporting requirements
– Excellent experience with data governance best practices and tools including creating data quality dashboards
– Familiarity with Front Arena application as a primary system

Beneficial Skills (Desired Skills): Preferred Skills:
– Strong business, process and data analysis as well as project management skills to oversee data quality projects from inception to completion
– Excellent stakeholder engagement skills to effectively communicate with various departments and external regulatory bodies
– High attention to detail to ensure accuracy in data submissions
– Ability to interpret and apply regulatory policies and guidelines to business processes
– Excellent stakeholder engagement skills to effectively communicate with various departments and external regulatory bodies
– High attention to detail to ensure accuracy in regulatory reports and data submissions

Pre-screening questions (1 Minimum): 1. Does the candidate have Global Markets experience?
2. Does the candidate have relevant Data Quality Analytics and process experience in Markets?
3. Does the candidate have experience in creating Data Quality Dashboards and data process workflows in Markets?
4. Does the candidate have knowledge of data governance best practices and tools?

Skills Marix

SKILL LEVEL YEARS MANDATORY JOB DESCRIPTION

Investment Banking / Capital Markets IT 5 6-8 years Yes experience in Investment Banking / Capital Markets IT

Global Markets experience 5 6-8 Years Yes Data analysis in Global Markets environment

Good understanding of asset classes 4 4-5 Years Yes Equity, Fixed Income, Credit, FX, commodities, Interest Rates, Collateral, and their product lifecycle

Markets Regulatory Reporting requirements 4 4-5 Years Yes Working experience on FMA, EMIR, Dodd-Frank, CFTC etc

Data governance 4 4-5 Years Yes best practices and tools including creating data quality dashboards

Cloud technologies 4 4-5 Years Yes AWS

Applicant Questions
1. Does the candidate have Global Markets experience?
2. Does the candidate have relevant Data Quality Analytics and process experience in Markets?
3. Does the candidate have experience in creating Data Quality Dashboards and data process workflows in Markets?
4. Does the candidate have knowledge of data governance best practices and tools?

Overview

Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers career-enhancing opportunities and the chance to work with talented professionals. Our clients range from individuals to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa and delivering value to clients and communities.

Provide infrastructure, tools and frameworks used to deliver end-to-end solutions to business problems. Build scalable infrastructure for supporting the delivery of clear business insights from raw data sources; with a focus on collecting, managing, analysing, visualising data and developing analytical solutions. Responsible for expanding and optimising Standard Bank's data and data pipeline architecture, whilst optimising data flow and collection to ultimately support data initiatives.

• Type of Qualification: First Degree
• Field of Study: Information Studies
• Type of Qualification: First Degree
• Field of Study: Information Technology

• Data Monetisation
• Data & Analytics
• 5-7 years

• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift.
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

• Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. A successful history of manipulating, processing and extracting value from large disconnected datasets. Working knowledge of message queuing, stream processing, and highly scalable "big data" data stores.
• Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing "big data" data pipelines, architectures and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

• Behavioural Competencies:
• Adopting Practical Approaches
• Articulating Information
• Challenging Ideas
• Checking Things
• Examining Information
• Exploring Possibilities
• Interpreting Data
• Meeting Timescales
• Producing Output
• Providing Insights
• Team Working
• Upholding Standards

• Technical Competencies:
• Data Analysis
• Database Administration
• Data Integrity
• Knowledge Classification

Overview

Business Segment: Personal & Private Banking

Location: ZA, GP, Johannesburg, 30 Baker Street

Provide infrastructure, tools and frameworks used to deliver end-to-end solutions to business problems. Build scalable infrastructure for supporting the delivery of clear business insights from raw data sources; with a focus on collecting, managing, analysing, visualising data and developing analytical solutions. Responsible for expanding and optimising Standard Bank's data and data pipeline architecture, whilst optimising data flow and collection to ultimately support data initiatives.

• Provide infrastructure, tools and frameworks used to deliver end-to-end solutions to business problems.
• Build scalable infrastructure for supporting the delivery of clear business insights from raw data sources; with a focus on collecting, managing, analysing, visualising data and developing analytical solutions.
• Responsible for expanding and optimising Standard Bank's data and data pipeline architecture, whilst optimising data flow and collection to ultimately support data initiatives.

• Type of Qualification: First Degree
• Field of Study: Information Studies
• Type of Qualification: First Degree
• Field of Study: Information Technology
• Experience Required
• Data Monetisation
• Data & Analytics
• 5-7 years
• Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. Experience with AWS cloud services: EC2, EMR, RDS, Redshift. Experience with stream-processing systems: Storm, Spark-Streaming, etc. Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• 5-7 years
• Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. A successful history of manipulating, processing and extracting value from large disconnected datasets. Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
• 5-7 years
• Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing 'big data' data pipelines, architectures and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

Overview

Provide infrastructure, tools and frameworks used to deliver end-to-end solutions to business problems. Build scalable infrastructure for supporting the delivery of clear business insights from raw data sources; with a focus on collecting, managing, analysing, visualising data and developing analytical solutions. Responsible for expanding and optimising Standard Bank's data and data pipeline architecture, whilst optimising data flow and collection to ultimately support data initiatives.

• Provide infrastructure, tools and frameworks that enable end-to-end solutions for business problems.
• Build scalable infrastructure to collect, manage, analyse and visualise data; develop analytical solutions.
• Expand and optimise data and data pipeline architecture; improve data flow and data collection to support data initiatives.
• Collaborate with teams to implement data-informed solutions and insights.

• Type of Qualification: First Degree
• Field of Study: Information Studies
• Type of Qualification: First Degree
• Field of Study: Information Technology
• Experience Required: Data Monetisation, Data & Analytics
• Experience: 5-7 years
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including PostgreSQL and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift.
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Strong analytic skills related to working with unstructured datasets.
• Experience building data transformations, structures, metadata, dependency and workload management.
• Proven ability to manipulate, process and extract value from large, disconnected datasets.
• Working knowledge of message queuing, stream processing, and scalable big data data stores.
• Working SQL knowledge and experience with relational databases; proficiency in query authoring and familiarity with various databases.
• Experience building and optimizing big data pipelines, architectures and data sets; experience performing root cause analysis to drive improvements.

• Adopting Practical Approaches
• Articulating Information
• Challenging Ideas
• Checking Things
• Examining Information
• Exploring Possibilities
• Interpreting Data
• Meeting Timescales
• Producing Output
• Providing Insights
• Team Working
• Upholding Standards

• Data Analysis
• Database Administration
• Data Integrity
• Knowledge Classification

• Mid-Senior level

• Full-time

• Information Technology

Overview

Business Segment: Insurance & Asset Management

Location: ZA, GP, Roodepoort, Ellis Street 4

This role resides within Standard Insurance Limited Data management and Insights and requires the incumbent to provide data management support to Actuarial, Personal lines, Commercial and Finance. Responsible for data analysis, expanding and optimising data flow and collection to ultimately support data initiatives.

• Type of Qualification: Bachelor’s degree in Statistics, Computer Science, Mathematics, Business, or related field. Advanced degrees or certifications in data analysis, data management
• Other Preferred Qualifications, certifications or professional memberships : Data related certifications, SAS, Microsoft SQL server
• Experience Required: SQL, SAS or any related programming language (knowledge for querying, data extraction, and manipulation across databases.)
• Experience with data visualization tools such as PowerBi
• Basic accounting knowledge
• Business analysis and project management
• Data Quality and metadata management
• Strong analytical and troubleshooting abilities, with a keen attention to detail.
• Ability to think critically and resolve complex data issues efficiently.
• Proven experience identifying and addressing root causes of data discrepancies.

We are seeking a highly skilled Data Management Specialist to join our financial services team. The ideal candidate will play a pivotal role in managing and enhancing data governance, quality, and architecture to support regulatory compliance, business insights, and operational efficiency.

• Develop and implement data management strategies aligned with business objectives and regulatory requirements.

• Establish and maintain data governance frameworks, policies, and standards.

• Monitor and ensure data quality, integrity, and accuracy across systems.

• Collaborate with stakeholders to define data requirements and metadata standards.

• Support the design and implementation of data architecture and integration solutions.

• Manage data lineage, classification, and cataloging processes.

• Drive continuous improvement in data processes and tools.

• Ensure compliance with data protection regulations and financial services standards.

• Bachelors degree in Information Systems, Data Science, or a related field.

• Proven experience in data management within the financial services sector.

• Strong knowledge of data governance, data quality, and metadata management.

• Familiarity with data architecture and regulatory frameworks (e.g., BCBS 239, GDPR, POPIA).

• Proficiency in data management tools and technologies (e.g., Collibra, Informatica, Microsoft Purview).

• Excellent analytical, communication, and stakeholder engagement skills.

• Relevant certifications (e.g., DAMA, DCAM).

• Experience in change management and data-driven digital transformation.