Data & Systems Analyst - Junior to Intermediate

Network Finance; Randburg; On-site; ZAR 550,000 - 850,000; Full time

Job summary

Network Finance is seeking a skilled professional to join our team as a Business/Data Analyst focusing on end-to-end analysis, data investigations, and AI-driven insights. You will translate business requirements into solutions, analyze data quality, and explore AI-enabled opportunities across product and workflows.

You’ll collaborate across groups to refine features, document processes, and support data-driven decisions, with emphasis on SQL, APIs, and dashboards.

Qualifications

• Bachelor’s degree or relevant tertiary qualification in Information Systems, Informatics, Computer Science, Data Science, Business Information Technology, Business Analytics, or related field.
• Experience in business analysis, systems analysis, data analysis, or related technical role.
• Practical experience using SQL to query, investigate, and validate data.
• Experience gathering requirements and documenting business processes.
• Understanding of relational databases, reporting, APIs, and the SDLC.
• Strong analytical and problem-solving abilities.
• For intermediate-level candidates, the ability to work independently with data and take ownership of requirements or features.

Responsibilities

• Gather, analyse, and translate business requirements into functional specifications.
• Analyse business processes, system behaviour, workflows, and data flows.
• Design scalable solutions, workflows, and business rules.
• Conduct impact and feasibility assessments.
• Collaborate with Developers, QA, Product, and Operations throughout the SDLC.
• Review completed solutions against business and functional requirements.
• Query, investigate, and analyse data using SQL.
• Identify trends, patterns, anomalies, and data quality issues.
• Perform data validation, mapping, and root-cause investigations.
• Analyse data used within reports, dashboards, workflows, and integrations.
• Use data to support product, business, and solution decisions.
• Identify opportunities to apply AI, Machine Learning, and predictive analytics.
• Prepare and analyse datasets for modelling.
• Assist with feature identification, model development, testing, and evaluation.
• Contribute to AI proof-of-concepts and experimentation.
• Assist with integrating predictive models and AI outputs into products and workflows.
• Research emerging AI technologies and potential business use cases.
• Assist with feature design, backlog refinement, and prioritisation.
• Analyse APIs, integrations, data structures, and system interactions.
• Assist with integration requirements and data mappings.
• Contribute to product roadmap and continuous improvement discussions.
• Research and experiment with new technologies and automation opportunities.
• Intermediate candidates may take ownership of specific features, projects, or product areas.
• Produce clear and practical functional and technical documentation.
• Document process and system flows.
• Develop data mappings and integration specifications.
• Maintain product and user documentation.
• Document AI models, research, and proof-of-concept activities.

Skills

Business & Systems Analysis

SQL & Data Analysis

Requirements Gathering

Functional Specifications

Software Development Lifecycle

Process Mapping

Reporting & Analytics

API & Integrations

Excel

Python

AI & ML concepts

Predictive Modelling

Data preparation & transformation

REST APIs & JSON

Workflow & automation platforms

Git / GitHub

Dashboards & Data Visualisation

Generative AI & LLMs

Education

Bachelor’s degree or relevant qualification

Tools

Git/GitHub

Grafana

Job description

Network Finance is seeking a skilled professional to join our team as a Business/Data Analyst focusing on end-to-end analysis, data investigations, and AI-driven insights. You will translate business requirements into solutions, analyze data quality, and explore AI-enabled opportunities across product and workflows.

You’ll collaborate across groups to refine features, document processes, and support data-driven decisions, with emphasis on SQL, APIs, and dashboards.