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BI Analyst I

nedbank

Johannesburg

On-site

ZAR 400 000 - 600 000

Full time

Yesterday

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Job summary

A prominent banking institution in South Africa seeks a BI Analyst I to provide reliable data insights across their operations. This role involves optimizing SQL processes and ensuring data quality for executive-level reporting. Candidates should have at least 3 years of experience in a BI environment with strong SQL skills. The position offers opportunities for professional growth within a supportive, inclusive team culture. Focus on data integrity and collaboration will be key.

Benefits

Professional development opportunities

Collaborative work environment

Focus on inclusivity and diversity

Qualifications

3+ years of experience in a BI or data environment.
Hands-on experience with backend data operations.
Solid exposure to the Microsoft BI ecosystem.

Responsibilities

Run, monitor, and validate SQL tasks and ETL processes.
Optimize SQL scripts and BI processes for performance.
Gather and document business requirements.

Skills

Intermediate SQL capability

Data analysis

Attention to detail

Strong analytical thinking

Education

Diploma in Information Technology

Degree in a related field

Tools

SQL Server

Microsoft BI technologies

ETL tools

Requisition nr: 143825
Talent Acquisition Specialist: Tshego Semenya
Location: 135 Rivonia Road, Sandown
Closing date: 10 February 2026

Personal and Private Banking

It Application Development

Manage Self: Technical

Position

BI Analyst I

Why join the team!

This role provides a unique opportunity to work within one of the bank’s most critical data environments, supporting insights that directly influence executive‑level 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, forward‑thinking 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 flows—experience 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 BAU‑driven, accuracy‑focused setting. Effective communication and stakeholder engagement are key, as is a willingness to learn and adapt in a fast‑paced 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.
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.
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