Data & AI Agent Analyst (CR785)

Our client a passionate team specialising in the web app & IT consulting sphere (aimed primarily at helping independent financial advisers manage split track and analyse revenue) is looking for a Data & AI Agent Analyst to join their team.

This is a hands-on mid-level role that blends classic data analytics with the exciting new world of AI agent development. You will turn data into insights that drive smarter decisions and you will build the AI agents and automations that help our team and our product work faster and smarter.

KEY PERFORMANCE AREAS

What you will be doing:

You will own the delivery of reports dashboards and analytics that our business and clients rely on while also designing building and improving AI agents that automate the work behind the scenes and power new features in the companys product.

Here is what your day-to-day would look like:

Data analysis & reporting

• Develop and maintain regular reports and dashboards for key business metrics.
• Create and optimise SQL queries for data extraction and analysis applying advanced techniques such as window functions stored procedures materialised views and query performance tuning.
• Design and implement data visualisation dashboards generating actionable insights from complex datasets.
• Present findings to stakeholders in clear concise formats and turn ad-hoc data requests around promptly (typically within 24 hours depending on complexity and priority).
• Ensure data quality accuracy and integrity across all analyses and implement data validation processes.
• Write and maintain clear documentation for reporting and analysis processes using GitHub for version control and collaboration.

AI agent development & automation

• Design build test and maintain AI agents that automate internal analytics reporting and operational workflows reducing manual effort across the team.
• Develop customer-facing AI agents and features within the companys product that help advisers and their clients get more value from their data.
• Apply large language models prompt engineering and retrieval-augmented generation (RAG) over company data to build reliable useful agent experiences.
• Integrate AI agents with internal systems APIs and databases and collaborate with the development team to deploy them safely into production.
• Define evaluation criteria and monitoring for agents to ensure accuracy safety and consistent quality over time.
• Build automated workflows using automation tools (e.g. Make) and set up proof-of-concept solutions using Docker databases and ETL tools.
• Stay hands-on with emerging AI tooling and frameworks and champion practical responsible ways to bring them into the business.

Collaboration & business support

• Partner with business units to understand their needs and build custom data and AI solutions.
• Support data-driven and AI-assisted decision-making across the organisation.
• Provide light-touch training and share best practices on analytics and AI tools with team members.

REQUIREMENTS
Who you are:

You are an out-of-the-box thinker a brilliant multi-tasker have a natural aptitude for organising and are always keen to solve tricky problems with some creative ideas. You are equally happy digging through a large dataset in SQL as you are experimenting with a new AI model to see what it can do.

The ideal candidate will have:

• Bachelors degree or higher in data science computer science business analysis finance or a related field (required)
• Minimum 5 years working experience in a data analyst BI or similar data-focused role (required)
• Hands-on experience building or working closely with AI agents LLM applications or automation solutions (required)
• Strong proficiency in SQL (PostgreSQL) and Python for data cleaning analysis and building AI/automation solutions
• Familiarity with LLMs prompt engineering and agent frameworks plus concepts like RAG and model evaluation
• Experience with data visualisation / BI tools and advanced Excel (Power Query Power Pivot data models)
• Working knowledge of APIs automation tools (Make) Docker and GitHub
• Experience in the Fintech / SaaS industry (advantageous)
• Working experience in the South African financial services / financial planning industry (advantageous)
• Analytical thinking and strong problem-solving skills
• Highly adaptable to a variety of software tools and programs
• Hungry resilient and motivated to succeed
• Self-motivated and proactive yet a team player
• Detail-orientated and capable of delivering a high level of accuracy
• Organisational and administrative skills
• Excellent written and verbal communication skills (English; Afrikaans advantageous)

SALARY

The following are available to the right candidate:

Market-related salary negotiable

Group risk benefits including Life Cover Gap Cover etc.

Flexible hours work-from-home opportunities. We value output over effort. We measure results instead of clock-watching.

Please use the following reference number in the subject line of your email: CR785 when applying for this position. Please submit your CV in Word Format your salary expectation and notice period to consider your application unsuccessful should you not receive feedback within 1 week.