Feature / Data Analyst – Global Markets Technology

Location: Johannesburg — On-site
Contract Duration: 12 months

Role Purpose

We are seeking experienced Feature / Data Analysts to support strategic Data & AI initiatives within Global Markets Technology (GMT).

Working within cross-functional Agile squads, successful candidates will deliver business, functional and data analysis across data product delivery, regulatory reporting, cloud transformation and data platform modernisation programmes. The role requires strong requirements engineering skills, financial-services experience and the ability to translate complex business needs into clear, actionable delivery requirements.

Key Responsibilities

Business and Feature Analysis

• Elicit, analyse, validate and document business, functional and data requirements.
• Translate business needs into user stories, use cases and measurable acceptance criteria.
• Analyse current-state processes, systems, data structures and controls to identify gaps and improvement opportunities.
• Define and document future-state business processes and data requirements.
• Facilitate stakeholder workshops, discovery sessions and solution walkthroughs.
• Support backlog refinement, prioritisation and requirements clarification throughout delivery.
• Maintain traceability between business outcomes, requirements, solution design and delivered functionality.
• Analyse and manage dependencies across delivery streams.
• Support architecture, solution design and implementation decisions through evidence-based analysis.

Data Analysis and Governance

• Use SQL and data profiling techniques to investigate datasets, validate requirements and identify data-quality issues.
• Produce source-to-target data mappings and document transformation and validation rules.
• Support the development and validation of target-state data models.
• Define data ownership, lineage, quality, metadata and governance requirements.
• Identify and catalogue critical data elements.
• Document data lineage and ownership artefacts.
• Assess data-quality issues and recommend remediation actions.
• Support data product delivery, migration, regulatory reporting and platform modernisation initiatives.

Agile Delivery and Validation

• Work as an embedded member of a cross-functional squad comprising analysts, data engineers, software engineers and a Squad Lead.
• Participate in sprint planning, backlog refinement, daily stand-ups, demonstrations and retrospectives.
• Collaborate with GMT stakeholders across FX and Data & AI technology teams.
• Support testing, data validation, defect resolution and acceptance of delivered solutions.
• Ensure analysis deliverables align with Standard Bank’s architecture, standards and delivery governance.
• Escalate impediments and external dependencies promptly.

Minimum Qualifications

• A bachelor’s degree in Information Technology, Computer Science, Information Systems, Data Management, Engineering, Mathematics or a related discipline.
• AWS Certified Cloud Practitioner certification, at minimum.
• Relevant Business Analysis, Agile or Data certifications would be advantageous.

Mandatory Experience

Candidates must demonstrate:

• At least 8 years of professional experience.
• At least 5 years of experience within Financial Services.
• At least 5 years of Business Analysis or Feature Analysis experience.
• At least 5 years of Data Analysis experience.
• Experience working within Agile delivery environments.
• Experience engaging senior business and technology stakeholders.

Required Functional Skills

• Requirements elicitation, documentation and management.
• Business and Feature Analysis.
• User story development and acceptance criteria definition.
• Workshop facilitation and stakeholder management.
• Process analysis and future-state design.
• Data analysis, mapping and modelling.
• Data governance, lineage and quality analysis.
• Backlog management and Agile delivery support.
• Testing support and solution validation.

Required Technical Skills

• SQL and data profiling.
• Data warehousing and data architecture concepts.
• Metadata management and data lineage tooling.
• Reporting and analytics concepts.
• Understanding of APIs and system integrations.
• Jira and related Agile delivery tools.

Highly Advantageous Experience

• Foreign Exchange (FX), Capital Markets or Treasury.
• Front Office trading environments.
• Regulatory reporting.
• AWS cloud data platforms.
• Data migration programmes.
• Enterprise Data Management frameworks.
• Financial product data models.

Key Deliverables and Success Measures

• Approved business, functional and data requirements.
• User stories and acceptance criteria ready for implementation and testing.
• Documented and validated target-state data models.
• Completed data lineage, ownership and critical data element artefacts.
• Clearly documented data-quality findings and remediation recommendations.
• Identified and managed cross-stream dependencies.
• Evidence-based input into architecture and implementation decisions.
• Timely analysis deliverables that support programme milestones.

Contact information

Yandiswa D