AI Analytics & Automation Specialist (Hybrid)

Parvana; Cape Town; Hybrid; ZAR 600,000 - 900,000; Full time

Job summary

Parvana is seeking a focused AI/Analytics professional in Cape Town to support our client’s AI initiatives and automate data workflows. You will design and implement AI-enabled reporting tools, validate outputs, and strengthen data quality for risk and performance metrics.

You will work hybrid, collaborating with the Analytics Team to advance machine learning, data engineering, and portfolio data handling across markets. The role emphasizes rigorous testing and timely delivery.

Qualifications

• 1–3 years of experience in AI tools, LLM-based workflows, automation, or coding projects.
• Background or exposure to investment, risk, or performance data is advantageous.
• Familiarity with SQL, Databricks, and related analytics technologies.
• Certifications in ML, statistics, financial modelling, or data engineering are beneficial.

Responsibilities

• Support AI initiatives and collaborate on process improvements.
• Identify and implement automation and technology advancements to drive efficiency.
• Develop AI agents, workflows, and tools using LLMs, Databricks, SQL, Python, Power BI, and Excel for reporting and data validation.
• Analyze business processes to identify problems, risks, and opportunities for mapping and documentation.
• Build robust checks, controls, and testing procedures for AI outputs before client delivery.
• Improve data quality, lineage, and technical specifications for portfolio, benchmark, and market data.

Skills

AI

LLM

Python

SQL

Databricks

Automation

Data Validation

Risk Reporting

Investment

Analytics

Machine Learning

Education

Relevant tertiary degree

Tools

Databricks

Python

SQL

Power BI

Excel

Job description

Parvana is seeking a focused AI/Analytics professional in Cape Town to support our client’s AI initiatives and automate data workflows. You will design and implement AI-enabled reporting tools, validate outputs, and strengthen data quality for risk and performance metrics.

You will work hybrid, collaborating with the Analytics Team to advance machine learning, data engineering, and portfolio data handling across markets. The role emphasizes rigorous testing and timely delivery.