193 Data Analysis Tools jobs in South Africa

• Lead Data & Analytics Strategy - Drive the companys data agenda, ensuring governance, compliance, and a culture of data-driven decision-making.
• Own Data Management - Standardise processes, maintain data quality, and manage enterprise-wide data catalogues.
• Deliver Analytics Impact - Embed trusted insights across Finance, Risk, HR, Compliance, and Actuarial.
• Ensure Compliance & Technology Alignment - Partner with IT, strengthen governance, and oversee secure and scalable data solutions.
• Inspire & Lead Teams - Build and guide a high-performing data team focused on collaboration and continuous improvement.

• Bachelors in Data/Stats/Actuarial/Maths/Comp Sci (Masters is a plus).
• 8+ years in data/analytics/tech roles (insurance, banking, and telecoms).
• 3+ years leadership, and bridging business & tech.
• Skilled in Azure Synapse, SQL, metadata, and MDM.
• Proven track record in enterprise analytics and governance.
• Strong knowledge of South African data compliance.

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.

To establish, lead, and continuously enhance the Data Management & Analytics Centre of Excellence, driving the development and execution of enterprise-wide data governance, management, and analytics strategies.

• Bachelor’s degree in data science, Statistics, Actuarial Science, Mathematics, Computer Science, or related field (Master’s preferred).
• At least 8+ years of experience in data, analytics, or technology roles within banking, telecommunications, or insurance.
• At least 3 years in a leadership capacity.
• Demonstrated success in bridging business and technology for enterprise-wide data delivery.
• Strong technical expertise in Azure Synapse, SQL, and data integration, Metadata and Master Data Management platforms.
• Proven track record in executing analytics use cases.
• In-depth knowledge of South African data governance and compliance.

• Lead the implementation of the enterprise data and analytics strategy aligned with business priorities, ensuring delivery of measurable business value.
• Champion data governance, management, and quality initiatives, ensuring compliance with South African regulatory requirements.
• Act as a liaison between business units and technology teams, translating business priorities into scalable, governed, and reusable data and analytics solutions.
• Foster and embed a data-driven culture throughout Guardrisk, driving consistent data practices across all business units.

• Define and enforce standardised data input formats, source specifications, and data ingestion processes within the Guardrisk ecosystem.
• Maintain and enrich a comprehensive data catalog with clear metadata, lineage, and ownership for transparency and traceability.
• Align cross-functional units on common logic, definitions, joins, and KPIs to ensure enterprise-wide data consistency.
• Continuously monitor data quality metrics, driving remediation efforts and maintaining trust and compliance.
• Lead data governance bodies such as Data Council and Data SteerCos to oversee data governance frameworks.

• Develop, operationalise, and oversee analytics use cases for support functions (Finance, Risk, HR, Compliance, Actuarial), particularly where dedicated data teams are absent.
• Integrate trusted datasets and analytics outputs into day-to-day business processes to enable informed decision-making.
• Enforce guardrails to ensure all analytics initiatives adhere to governance and compliance standards.
• Provide technical guidance to internal analytics teams, ensuring alignment with central data architecture and standards.

• Drive enterprise-wide adoption of central data definitions and datasets, promoting reuse and knowledge sharing.
• Define and enforce data retention, archiving, and lifecycle management policies per regulatory requirements.
• Lead initiatives to enhance metadata management, lineage tracking, and data quality assurance.
• Serve as executive sponsor for data privacy and ethics programs, ensuring lawful and ethical data usage.

• Collaborate closely with IT leadership to design and maintain data pipelines, storage, and infrastructure that meet business needs.
• Influence IT investments, ensuring data architecture and toolsets are flexible, scalable, and compliant to effectively enable execution of the Data strategy across the enterprise.
• Build and maintain the data pipelines and infrastructure that allows for analytics use case execution.

• Lead, coach, and develop a high-performing operations team to achieve strategic and operational objectives.
• Foster a culture of accountability, collaboration, and performance.
• Manage capacity, talent development, and succession planning within the operations function.

• Developing strategies: Is focused on developing strategies; thinks in the longer term and anticipates trends; envisages the future and adopts a visionary approach.
• Providing insights: Is focused on continuously improving things; provides insights by identifying key issues; makes intuitive judgements.
• Upholding standards: Behaves ethically and justly; is discreet and maintains confidentiality; meets commitments by acting with integrity.
• Articulating information: Is articulate in giving presentations; is eloquent and explains things well; projects social confidence when articulating information.
• Directing people: Is comfortable leading people; coordinates and directs groups; seeks to control things.
• Making decisions: Is determined and decides on actions; willingly assumes responsibility; is definitive and stands by own decisions.

• Director

• Full-time

• Business Development and Sales