Data and AI Agent Analyst

Paarl, South Africa | Posted on 06/08/2026

• Location Type Hybrid (Part office, Part remote)
• Job Type Permanent
• Salary R45 000 - R70 000 dependent on experience
• Remuneration Term Per Month
• Date Opened 06/08/2026
• State/Province Western Cape
• Country South Africa

Job Description

Combining business analytics with artificial intelligence architecture, this role delivers actionable business insights while constructing automated AI workflows to drive operational performance. Positioned within a collaborative fintech software environment, the role balances dashboard reporting and database querying with the implementation of LLM-driven automation.

The focus spans full-cycle data management and intelligent automation, creating internal systems and client-facing features that streamline reporting processes . Working with cross-functional teams, the position transforms complex data pipelines into clear, actionable business strategies .

Key Responsibilities

Develop and maintain routine management reports and operational analytics dashboards to evaluate primary business metrics .

Write and optimise advanced SQL queries utilizing stored procedures, materialised views, window functions, and performance tuning techniques .

Design and build AI agents to automate internal analytics, reporting processes, and operational workflows .

Deploy customer-facing AI agent capabilities and features to enhance end-user data interaction .

Implement large language models (LLMs), prompt engineering strategies, and retrieval-augmented generation (RAG) frameworks over enterprise datasets .

Integrate artificial intelligence agents with APIs, internal databases, and core application systems .

Establish monitoring, evaluation metrics, and safety validation protocols for AI agents to ensure ongoing output precision .

Construct automated workflows using process automation platforms and implement proof-of-concept solutions using ETL frameworks and containerisation .

Maintain accurate process documentation and utilise version control systems for code and reporting collaboration .

Collaborate across business divisions to gather functional requirements and deliver targeted data solutions .

Requirements

Bachelor's degree or higher in Data Science, Computer Science, Business Analysis, Finance, or a related discipline .

Minimum of 5 years of professional experience in a Data Analyst, Business Intelligence, or data-centric analytical role .

Hands-on experience building or developing solutions with AI agents, LLM integrations, or automation systems .

Strong technical proficiency in SQL (specifically PostgreSQL) and Python for data transformation, analytics, and automation .

Practical understanding of LLMs, prompt engineering, agent frameworks, RAG architectures, and model evaluation protocols .

Demonstrated experience using data visualisation/BI tools alongside advanced Excel functions (Power Query, Power Pivot, data modeling) .

Working knowledge of APIs, automation platforms, Docker, and GitHub .

Strong analytical, problem-solving, and organizational skills with strict attention to detail .

Excellent written and verbal communication skills in English .

Previous experience within the Fintech or SaaS sectors .

Working experience within the South African financial services or financial planning domain .

Required Software Skills

Python

Advanced Excel (Power Query, Power Pivot)

Make

Docker

GitHub

Benefits and Culture

Group risk benefits including Life Cover and Gap Cover .

Flexible working hours and work-from-home options focused on output and measurable results .

Inclusive culture supporting work-life balance, positivity, and professional growth .