Data Analyst at FNB South Africa

Job Description

• To understand the various data sources, how the data flows through the organization and provide expertise and support through translating business needs into tangible solutions by analyzing data, conducting root cause analysis, and recommending improvements to data pipelines, data quality, metadata, master and reference data, data access management.

Hello Future Data Analyst I

• Welcome to FNB, the home of the #changeables. We design for the shapeshifters and deliver products and services that make us incredibly proud of people that make it happen.
• As part of our team, you will be surrounded by unique talents, diverse minds, and an adaptable environment that lives up to the promise of staying curious. Now’s the time to imagine your potential in a team where experts come together and ignite effective change.
• Translate business needs into long-term architecture solutions and analyse data, conduct root cause analysis, and generate proposals to improve data quality, access, and management.

Are you someone who has:

• A deep understanding of the various data sources.
• Systems and data fields to analyse the quality of data.
• Ability to conduct root cause analysis and generate proposals to improve data quality, access, and management.
• A combination of analytical expertise, business acumen, strategic thinking, and project and relationship management skills, the incumbent will extract reporting requirements from business and deliver on this.

Key responsibilities:

• Understand business rules and requirements to solve specific use cases
• Query and connect data from disparate sources
• Provide transformation rules to Data Engineers
• Present findings clearly to stakeholders
• Map source systems to enterprise data models

You will be an ideal candidate if you:

• Bachelor's Degree /Postgraduate Diploma / Advanced Diploma

Preferred Qualifications

• Bachelor of Technology or Bachelor of Science in Information Technology

Experience Required

• 2/3 years data analysis experience.
• Solid understanding and working knowledge of relational databases (e.g. Teradata, Oracle, SQL, SAS, etc), data structure, data quality strategies and experience analysing large volumes of data. Exposure to the financial services industry and or banking products and related systems preferred.
• Tools required to be successful in this environment (Ab-initio, Metadata hub, ExpressIT)

End Date: November 13, 2025