Senior Business / Data Analyst

Believe Resourcing; Johannesburg; Hybrid; ZAR 600 000 - 900 000; Full time

Job summary

A financial services consultancy in Johannesburg is seeking a Senior Business / Data Analyst to support its Finance Modernisation Programme. The successful candidate will operationalise the Finance Data Strategy, guiding finance data replatforming to cloud architecture. The role requires strong skills in data integration and governance, along with a solid understanding of cloud architecture and finance systems.

Qualifications

• Experience in data analysis, data management, or business analysis within Finance or Enterprise Data environments.
• Strong experience in cloud data replatforming and data governance.
• Experience in large-scale transformation programmes within the Financial Services industry.

Responsibilities

• Document the current-state data integration landscape for subledger and related systems.
• Define a detailed target-state data architecture aligned with the approved cloud strategy.
• Deliver clear documentation for architecture, standards, and transformation rules.

Skills

Microsoft Purview

Microsoft Fabric

Azure Data Factory

SQL

Python

Cloud architecture

Finance data modelling

Data flow documentation

Education

5–8 years’ experience in data analysis

Relevant certifications preferred

Tools

Power BI

Synapse

Job description

Overview

Senior Business / Data Analyst
Location: Rosebank (Hybrid – Mondays, Tuesdays & Thursdays)
Engagement Duration: January 2026 – December 2026
Salary / Contract Rate: Market related

Our client in the Financial Services sector is looking for a Senior Business / Data Analyst to support the Finance Modernisation Programme within the Data Architecture Enablement and Standardisation stream. The successful candidate will play a key role in operationalising the Finance Data Strategy, guiding the replatforming of finance data to cloud architecture, and driving alignment with enterprise data governance frameworks.

Key Responsibilities

• Document the current-state data integration landscape for subledger and related systems (SAP and non-SAP).
• Define a detailed target-state data architecture aligned with the approved cloud strategy.
• Develop and maintain a roadmap for source data integration into the subledger via strategic cloud patterns.
• Refine and advance finance data standards to support subledger and cloud provisioning requirements.
• Consistently apply data and integration standards across all source systems.
• Establish processes and guidelines for strategic cloud architecture, data harmonisation, and data quality management.
• Estimate effort for data replatforming and migration activities.
• Prepare and guide physical migration and decommissioning plans for existing data repositories.
• Deliver clear and concise documentation for architecture, standards, and transformation rules.
• Provide regular progress updates and maintain issue and risk logs.

Technical Skills

• Microsoft Purview (catalogue, lineage, glossary, data quality)
• Microsoft Fabric, Azure Data Factory, Synapse, Power BI
• SQL and Python for data analysis and transformation
• Strong understanding of cloud architecture (Azure preferred)
• Experience with Finance data modelling, subledger integration, and data flow documentation
• Familiarity with Medallion Architecture principles and replatforming best practices

Deliverables / Outputs

• Clear documentation of current and target-state data architecture
• Defined transformation rules and migration plans
• Advanced finance data standards and governance artefacts
• Regular status and issue reports to ensure transparency and progress tracking
• Commercial value delivery aligned with 2026 programme objectives

Success Criteria

• Timely and accurate analysis and documentation
• Positive feedback on collaboration and communication
• Delivery of tangible value by end of 2026
• Improved data standardisation and integration maturity across Finance

Behavioural Competencies

• Analytical and strategic thinking
• Strong documentation and communication skills
• Collaborative and self-motivated approach
• Ability to simplify complex technical concepts for diverse stakeholders
• Integrity, adaptability, and a results-driven mindset

Experience & Qualifications

• 5–8 years’ experience in data analysis, data management, or business analysis within Finance or Enterprise Data environments
• Strong experience in cloud data replatforming, data governance, and Finance system integration
• Experience in large-scale transformation programmes within the Financial Services industry
• Relevant certifications preferred: Microsoft Fabric Data Analyst / Azure Data Engineer / CDMP