Junior Analytics Engineer Opportunity at Nedbank

Nedbank is seeking a talented Junior Analytics Engineer to join its innovative data and analytics team. This role is perfect for a recent graduate or an early-career professional with a foundational understanding of data modelling, architecture, and pipeline management. As a Junior Analytics Engineer, you will contribute to the design, development, and maintenance of scalable data solutions, playing a key role in transforming raw data into actionable insights. You will collaborate with various data professionals, gaining invaluable experience in a fast-paced banking environment and contributing to Nedbank's strategic data initiatives. This position offers a significant opportunity for growth and development in the rapidly evolving field of data analytics.

Key Responsibilities

Design Data and Conceptual Modelling

• Develop a basic understanding of business data and information requirements, including data flow, business processes, and systems that generate the necessary data, as well as data properties, profile, and behaviour.
• Collaborate with Data Modelers, Data Engineers, Data Architects, and Data Governance teams to align data discovery insights and implement basic data solutions.
• Liaise with business stakeholders to elicit and thoroughly understand data requirements.
• Possess a basic understanding of data, relational, and dimensional modelling concepts.
• Monitor and verify the availability and accuracy of data lineage.

Data Architecture

• Assist in building and maintaining data architecture models, schemas, and metadata within the scalable data architecture, adhering to established standards and documenting all changes to support efficient storage, retrieval, and analysis.
• Consult with and educate stakeholders on effective methods for streamlining and standardising data collection to ensure optimal quality and accuracy.

Databases Specifications

• Provide essential information on suitability during the approval process for database specifications to ensure all agreed standards and protocols are followed and data integrity is preserved.
• Perform basic data testing and validation activities, such as error resolution and data quality validation, across the entire data lifecycle.

Databases Installation

• Possess a basic understanding of how data pipelines are constructed and managed.
• Monitor data pipelines and infrastructure to provide first-line support, resolve issues, and ensure that data products meet their Service Level Agreement (SLA) timelines for data availability and reliability.

Data Protection

• Ensure that all work adheres strictly to regulatory requirements, maintaining full compliance with all relevant data policies, privacy standards, and ownership guidelines.

Why Join Nedbank

Nedbank offers an exceptional environment for a Junior Analytics Engineer to thrive. You will be part of a forward-thinking organisation that places a high value on data-driven decision-making and technological innovation. Nedbank provides extensive opportunities for professional development, including mentorship from experienced data professionals and access to cutting-edge tools and technologies. The bank fosters a collaborative culture where continuous learning is encouraged, allowing you to expand your expertise in areas like data modelling, architecture, and visualisation. Joining Nedbank means contributing to impactful projects that shape the future of banking in South Africa, all within a supportive and inclusive workplace that prioritises employee growth and well-being.

How to Apply

Please apply using the Quick Apply button on this page.

* Salary is estimated based on market research and may not be accurate.

• Undergraduate Degree is essential.
• General Experience: Experienced practitioner able to work unsupervised (1 to 3 years).
• Technical Expertise in Enabling Self-Service Insights (intermediate level).
• Ability to Build Data Products (intermediate level).
• Competence in Design Data Products (full competence).
• Proficiency in Data Visualisation (full competence).
• Understanding and application of Data Governance Principles (intermediate level).
• Skills in Business Data Modelling (intermediate level).