AI and Automation Analyst

Brolink; Centurion; On-site; ZAR 600,000 - 900,000; Full time

Job summary

Brolink in Centurion is seeking an AI and Automation Analyst to join the IT Department. The role focuses on supporting data, reporting and operational information while improving capabilities through workflow automation and AI.

You will work on data analysis, develop reporting and semantic models, and collaborate with Finance, Operations and Tech to deliver governed solutions with measurable impact.

Responsibilities

• Analyse source data and support reporting and decision-making.
• Build and improve Power BI reports and semantic models.
• Translate requirements into data definitions and calculations.
• Maintain data dictionaries and governance.
• Identify opportunities to automate recurring tasks.

Skills

Data analysis

Reporting

Automation

Semantic modelling

Tools

Power BI

Power Automate

Microsoft Fabric

Copilot Studio

AI agents

Job description

CAREER OPPORTUNITY

An exciting opportunity exists for a AI And Automation Specialist to join the IT Department. This position is based in Centurion.

WHY THIS ROLE EXISTS

Brolink is investing in AI, analytics and automation to improve how work is done across the business. We are building practical solutions that combine human expertise with AI-powered tools to improve reporting, data sharing, operational efficiency and decision-making.

What We Are Looking For:

The AI and Automation Analyst is responsible for supporting Brolink’s core data, reporting and operational information requirements while actively improving and transforming these capabilities through workflow automation and applied AI.

The role’s immediate focus includes the analysis of operational data, development and maintenance of reporting and semantic models, partner data exchange, invoice-support processes, reconciliations and data-quality controls. These responsibilities ensure that business stakeholders and external partners receive accurate, consistent and traceable information.

Alongside these day-to-day responsibilities, the analyst will actively identify, assess and implement opportunities to reduce manual effort, improve processes and introduce governed automation. AI and automation responsibilities will commence from the outset and increase rapidly as suitable opportunities are identified and delivered.

The analyst is expected to progress quickly towards operating across both Brolink’s current data environment and its emerging AI and automation capability. This includes contributing to the design, configuration, testing, implementation and monitoring of automated workflows and supervised AI-enabled solutions.

The role connects Brolink’s current data and reporting needs with its ambition to establish an intelligent, automated and scalable operating model, with a clear expectation of early delivery, practical adoption and measurable progress.

Why Join Brolink:

• Work on real-world AI and automation initiatives with measurable business impact
• Gain hands‑on exposure to Microsoft Fabric, Power BI, Power Automate, Copilot Studio and AI agents
• Help shape Brolink’s future operating model
• Develop sought‑after skills in analytics, automation and applied AI
• Work alongside experienced business, data and technology professionals

What Success Looks Like:

• Delivering reliable and accurate reporting outputs
• Identifying and implementing automation opportunities
• Reducing manual effort in selected processes
• Contributing to controlled AI‑enabled solutions
• Maintaining high‑quality documentation and governance standards.

Key Purpose Of The Role:

The AI and Automation Analyst supports the design, testing, documentation and continuous improvement of governed data products and supervised automation. The analyst will initially refine reporting, partner data‑sharing and invoice‑support capabilities, then progressively review additional operational processes for automation and agentic AI opportunities.

JOB DESCRIPTION

Duties and Responsibilities:

• Data Analysis, Reporting and Semantic Modelling
• Analyse source data, business rules and operational requirements to support reporting, partner servicing and business decision‑making.
• Build, maintain and improve Power BI reports, dashboards, semantic models, certified measures and operational reporting outputs.
• Translate business requirements into clear data definitions, calculations and reporting logic.
• Investigate and resolve data anomalies, reporting issues and inconsistencies.
• Maintain data dictionaries, metadata and supporting documentation to promote consistent use of information.
• Work with technical specialists to improve data quality, accessibility, security and performance.
• Ensure that reporting, automation and AI‑enabled solutions use trusted and appropriately governed data sources.
• Identify opportunities to standardise, automate or introduce self‑service into existing reporting activities.
• Partner Data Exchange and Operational Controls
• Produce and maintain controlled Excel, CSV and flat‑file outputs, including policy movements, premium bordereaux, commission bordereaux and other partner requirements.
• Validate partner‑facing outputs to ensure that information is accurate, complete, consistent and delivered in the required format.
• Support the data models, calculations and processes used for binder and outsourced‑service fee invoicing.
• Perform reconciliations, control checks, variance analysis and testing across reports, bordereaux and invoice‑related outputs.
• Investigate discrepancies and work with Finance, Operations and technical teams to resolve underlying issues.
• Maintain traceable, audit‑ready documentation and supporting evidence for key calculations and outputs.
• Identify and implement opportunities to automate recurring data preparation, validation, reconciliation and distribution activities.
• AI and Automation Opportunity Discovery
• Work proactively with business stakeholders to identify repetitive, manual, time‑consuming or error‑prone activities.
• Maintain and regularly review a prioritised pipeline of AI and automation opportunities across data, reporting and operational processes.
• Assess opportunities according to business value, complexity, risk, data readiness and implementation feasibility.
• Determine whether an opportunity is best addressed through process simplification, standardisation, workflow automation or an AI‑enabled solution.
• Translate suitable opportunities into clear problem statements, requirements, expected outcomes and success measures.
• Challenge established manual activities and prioritise opportunities that can deliver