BI Analyst I at Nedbank

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 hands‑on 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 (non‑negotiable).
• 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 deal‑breaker.
• 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

Closing date: 10 February 2026