Requisition Details & Talent Acquisition Contact
Requisition nr: 143825
Talent Acquisition Specialist: Tshego Semenya
Location: 135 Rivonia Road Sandown
Closing date: 10 February 2026
Cluster
Personal and Private Banking
Career Stream
It Application Development
Leadership Pipeline
Manage Self: Technical
Why join the team!
This role provides a unique opportunity to work within one of the banks most critical data environments supporting insights that directly influence executivelevel decisions. It offers meaningful exposure to the full BI lifecycle while allowing the successful candidate to deepen their expertise in backend data operations. The environment is collaborative forwardthinking and designed to encourage autonomy curiosity and continuous learning. Working with large and complex banking datasets the candidate will gain valuable insights into core products processes and data flowsexperience that builds strong technical confidence and sets a powerful foundation for future growth in advanced BI or data engineering.
The team is committed to professional development inclusivity and creating a balanced empowering work environment with a particular focus on increasing female representation in the BI space. Beyond technical capability the ideal candidate brings exceptional attention to detail strong analytical thinking and the ability to work independently within a BAUdriven accuracyfocused setting. Effective communication and stakeholder engagement are key as is a willingness to learn and adapt in a fastpaced environment. This combination of impactful work supportive culture and continuous learning makes this an exceptional opportunity for someone seeking both career progression and meaningful contribution.
Job Purpose
To provide accurate reliable and meaningful data insights across Nedbank by supporting the full BAU (business-as-usual) data environment. The role focuses on maintaining validating optimising and enhancing existing BI and SQL processes to ensure the accuracy of data provided to the MI/Reporting teams. This includes working with backend data sources SQL Server environments and running scheduled data jobs that flow into dashboards presented at executive level.
Job Responsibilities
BAU & Operational Data Support
- Run monitor and validate daily weekly and monthly SQL tasks and ETL processes.
- Ensure high levels of data accuracy with a monthly target of at least 90% correctness for data feeding executive dashboards.
- Identify investigate and resolve data discrepancies system errors and quality issues timeously.
- Optimize existing SQL scripts and improve performance of current BI processes.
Business Requirements & Technical Analysis
- Conduct feasibility studies and impact assessments.
- Gather and document business requirements (BRD) through stakeholder engagements.
- Develop High Level Designs (HLD) informed by business needs.
- Produce technical specification documentation including data mappings rules modelling and dimensional structures.
Backend BI Responsibilities
- Write interpret and optimise complex SQL queries independently.
- Support ETL (Extract Transform Load) processes and assist in the backend BI lifecycle.
- Assist in maintaining and enhancing data warehouse structures.
- Ensure that data feeding dashboards (Eclipse App Card CC App Student Loan data Bureau submissions) is complete correct and submitted on time.
Stakeholder & Cross-Functional Collaboration
- Work closely with the MI/Reporting team (primary partner 90% of engagement).
- Collaborate with auditors the CDR team and the Collections team.
- Provide updates communicate issues and ensure understanding of changes in data flows.
- Support developers by clarifying business rules requirements and changes.
Testing & Quality Assurance
- Develop coordinate and execute unit testing integration testing and UAT.
- Ensure all work meets Nedbank governance compliance and technical standards.
- Maintain documentation to support audits and compliance reviews.
Continuous Improvement & Learning
- Recommend improvements to systems processes and controls.
- Participate in transformation and CSI initiatives.
- Stay updated on industry developments regulatory changes and BI best practices.
Demonstrate commitment to growth and learning in a fast-paced BI environment
Essential Qualifications - NQF Level
- Advanced Diplomas/National 1st Degrees
Preferred Qualification
- Minimum: Diploma in Information Technology Data Analytics Computer Science Business Intelligence or similar.
- Preferred: Degree in a related field
Preferred Certifications
Certifications in SQL Microsoft BI technologies ETL or data warehousing.
Minimum Experience Level
The candidate will bring at least 3 years of handson experience in a BI or data environment with a strong focus on backend data work. Within this experience the candidate must demonstrate:
- Intermediate SQL capability able to write debug optimise and interpret complex SQL scripts independently (nonnegotiable).
- Solid exposure to the Microsoft BI ecosystem including SQL Server stored procedures data warehousing concepts and ETL processes.
- Experience handling BAU (business-as-usual) data operations including running scheduled jobs validating outputs and ensuring data accuracy and consistency.
- Proven exposure to backend BI rather than only frontend reporting. Backend experience is a dealbreaker.
- Strong experience in data modelling understanding of relational databases and comfort working with large volumes of operational data.
- Experience working with or supporting a MI/Reporting team auditors or operational business teams.
Preferred Experience
- Prior experience in the banking sector with familiarity in banking terminology data structures operational processes and regulatory expectations. This significantly accelerates onboarding and understanding of core data environments.
- Exposure to Microsoft stack tools such as SSIS SSRS or related ETL/reporting platforms.
Technical / Professional Knowledge
- Administrative procedures and systems
- Business principles
- Business terms and definitions
- Communication Strategies
- Data analysis
- Governance Risk and Controls
- Industry trends
- Microsoft Office
- Principles of financial management
- Relevant regulatory knowledge
- Relevant software and systems knowledge
- Research methodology
- Decision-making process
- Business writing skills
- Cluster Specific Operational Knowledge
- IT / Banking knowledge
- IT / Banking procedures
Disclaimer
Preference will be given to candidates from the underrepresented groups
Please contact the Nedbank Recruiting Team at
Please contact the Nedbank Recruiting Team at
Required Experience:
IC
Requisition Details & Talent Acquisition Contact Requisition nr: 143825Talent Acquisition Specialist: Tshego SemenyaLocation: 135 Rivonia Road SandownClosing date: 10 February 2026Cluster Personal and Private BankingCareer Stream It Application DevelopmentLeadership Pipeline Manage Self: Technical...
Requisition Details & Talent Acquisition Contact
Requisition nr: 143825
Talent Acquisition Specialist: Tshego Semenya
Location: 135 Rivonia Road Sandown
Closing date: 10 February 2026
Cluster
Personal and Private Banking
Career Stream
It Application Development
Leadership Pipeline
Manage Self: Technical
Why join the team!
This role provides a unique opportunity to work within one of the banks most critical data environments supporting insights that directly influence executivelevel decisions. It offers meaningful exposure to the full BI lifecycle while allowing the successful candidate to deepen their expertise in backend data operations. The environment is collaborative forwardthinking and designed to encourage autonomy curiosity and continuous learning. Working with large and complex banking datasets the candidate will gain valuable insights into core products processes and data flowsexperience that builds strong technical confidence and sets a powerful foundation for future growth in advanced BI or data engineering.
The team is committed to professional development inclusivity and creating a balanced empowering work environment with a particular focus on increasing female representation in the BI space. Beyond technical capability the ideal candidate brings exceptional attention to detail strong analytical thinking and the ability to work independently within a BAUdriven accuracyfocused setting. Effective communication and stakeholder engagement are key as is a willingness to learn and adapt in a fastpaced environment. This combination of impactful work supportive culture and continuous learning makes this an exceptional opportunity for someone seeking both career progression and meaningful contribution.
Job Purpose
To provide accurate reliable and meaningful data insights across Nedbank by supporting the full BAU (business-as-usual) data environment. The role focuses on maintaining validating optimising and enhancing existing BI and SQL processes to ensure the accuracy of data provided to the MI/Reporting teams. This includes working with backend data sources SQL Server environments and running scheduled data jobs that flow into dashboards presented at executive level.
Job Responsibilities
BAU & Operational Data Support
- Run monitor and validate daily weekly and monthly SQL tasks and ETL processes.
- Ensure high levels of data accuracy with a monthly target of at least 90% correctness for data feeding executive dashboards.
- Identify investigate and resolve data discrepancies system errors and quality issues timeously.
- Optimize existing SQL scripts and improve performance of current BI processes.
Business Requirements & Technical Analysis
- Conduct feasibility studies and impact assessments.
- Gather and document business requirements (BRD) through stakeholder engagements.
- Develop High Level Designs (HLD) informed by business needs.
- Produce technical specification documentation including data mappings rules modelling and dimensional structures.
Backend BI Responsibilities
- Write interpret and optimise complex SQL queries independently.
- Support ETL (Extract Transform Load) processes and assist in the backend BI lifecycle.
- Assist in maintaining and enhancing data warehouse structures.
- Ensure that data feeding dashboards (Eclipse App Card CC App Student Loan data Bureau submissions) is complete correct and submitted on time.
Stakeholder & Cross-Functional Collaboration
- Work closely with the MI/Reporting team (primary partner 90% of engagement).
- Collaborate with auditors the CDR team and the Collections team.
- Provide updates communicate issues and ensure understanding of changes in data flows.
- Support developers by clarifying business rules requirements and changes.
Testing & Quality Assurance
- Develop coordinate and execute unit testing integration testing and UAT.
- Ensure all work meets Nedbank governance compliance and technical standards.
- Maintain documentation to support audits and compliance reviews.
Continuous Improvement & Learning
- Recommend improvements to systems processes and controls.
- Participate in transformation and CSI initiatives.
- Stay updated on industry developments regulatory changes and BI best practices.
Demonstrate commitment to growth and learning in a fast-paced BI environment
Essential Qualifications - NQF Level
- Advanced Diplomas/National 1st Degrees
Preferred Qualification
- Minimum: Diploma in Information Technology Data Analytics Computer Science Business Intelligence or similar.
- Preferred: Degree in a related field
Preferred Certifications
Certifications in SQL Microsoft BI technologies ETL or data warehousing.
Minimum Experience Level
The candidate will bring at least 3 years of handson experience in a BI or data environment with a strong focus on backend data work. Within this experience the candidate must demonstrate:
- Intermediate SQL capability able to write debug optimise and interpret complex SQL scripts independently (nonnegotiable).
- Solid exposure to the Microsoft BI ecosystem including SQL Server stored procedures data warehousing concepts and ETL processes.
- Experience handling BAU (business-as-usual) data operations including running scheduled jobs validating outputs and ensuring data accuracy and consistency.
- Proven exposure to backend BI rather than only frontend reporting. Backend experience is a dealbreaker.
- Strong experience in data modelling understanding of relational databases and comfort working with large volumes of operational data.
- Experience working with or supporting a MI/Reporting team auditors or operational business teams.
Preferred Experience
- Prior experience in the banking sector with familiarity in banking terminology data structures operational processes and regulatory expectations. This significantly accelerates onboarding and understanding of core data environments.
- Exposure to Microsoft stack tools such as SSIS SSRS or related ETL/reporting platforms.
Technical / Professional Knowledge
- Administrative procedures and systems
- Business principles
- Business terms and definitions
- Communication Strategies
- Data analysis
- Governance Risk and Controls
- Industry trends
- Microsoft Office
- Principles of financial management
- Relevant regulatory knowledge
- Relevant software and systems knowledge
- Research methodology
- Decision-making process
- Business writing skills
- Cluster Specific Operational Knowledge
- IT / Banking knowledge
- IT / Banking procedures
Disclaimer
Preference will be given to candidates from the underrepresented groups
Please contact the Nedbank Recruiting Team at
Please contact the Nedbank Recruiting Team at
Required Experience:
IC
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