Senior Business / Data Analyst

Believe Resourcing; Gauteng; Hybrid; ZAR 300 000 - 400 000; Full time

Job summary

A financial services consulting firm is looking for a Senior Business / Data Analyst in Gauteng to support their Finance Modernisation Programme. The ideal candidate should have 5-8 years of experience in data analysis and strong skills in cloud data replatforming, data governance, and finance system integration. This hybrid role involves key responsibilities in data architecture and documentation, ensuring alignment with enterprise data governance frameworks.

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.

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.
• Develop and maintain a roadmap for source data integration into the subledger.
• Refine and advance finance data standards to support subledger and cloud provisioning requirements.
• Deliver clear documentation for architecture, standards, and transformation rules.

Skills

Microsoft Purview

Microsoft Fabric

Azure Data Factory

Synapse

Power BI

SQL

Python

Cloud architecture (Azure preferred)

Finance data modelling

Data flow documentation

Education

Relevant certifications preferred: Microsoft Fabric Data Analyst / Azure Data Engineer / CDMP

Job description

Overview

Senior Business / Data Analyst

Location: Rosebank (Hybrid – Mondays, Tuesdays & Thursdays)

Engagement Duration: January – December

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

• programme objectives

Success Criteria

Timely and accurate analysis and documentation

Positive feedback on collaboration and communication

Delivery of tangible value by end of

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