Data Analyst

Introduction

Guardrisk is the undisputed market leader in cell captive insurance and risk solutions. We are renowned for our innovative approach to cell captive structures and other alternative risk transfer solutions for our clients. Guardrisk offers clients custom designed cover and is registered in South Africa as an insurer for all statutory classes of non-life and life insurance business.

Disclaimer

Role Purpose

Responsible for building and managing the operational business intelligence capability for GGI, enabling a single version of the truth across all operational areas including broker and binder monitoring, exposure analytics, claims and procurement. This role drives standardized reporting, operational insights, data quality and governance to support decision-making and performance improvement. The role extends beyond traditional BI into predictive analytics and data-driven decision support to identify emerging trends, risks and opportunities. It ensures that data is translated into actionable, forward-looking insights to influence strategic and commercial outcomes.

Requirements

Education:

• Bachelor’s degree / diploma in one of the following fields: Informatics, Computer Science, Statistics, Mathematics or Information Technology.

Experience:

• Proven experience working as a business intelligence or in a similar role, preferably in the life and non-life insurance industry
• Proficiency in programming languages such as Python, R, or Java, as well as in data analysis and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)
• Minimum of 4 years’ working experience in the following:
• Power BI (essential)
• SSIS (essential)
• SSRS (essential)
• Databricks (essential)
• Python (essential)
• Azure Data Factories (essential)
• Azure Synapse Analytics (essential)
• Python / R, C++, C#, Java (critical)
• Microsoft SQL Server (critical)
• T-SQL (critical)
• Experience in insurance analytics strongly preferred (claims, underwriting, pricing, broker performance)

Skills:

• Effective communication skills, with the ability to collaborate with cross-functional teams and present complex ideas in a clear and concise manner.
• Strong understanding of statistical concepts, data modeling techniques, and experimental design principles.
• Capabilities in predictive analytics and statistical modelling.
• Able to identify and frame business opportunities using data.
• Ability to translate data insights into clear commercial actions.

Duties & Responsibilities

• Participate in the analysis, design, development, troubleshooting and support of the reporting and analytics platform
• Develop BI solutions using SQL, ETL scripting, business intelligence tools, database programming and reporting tools on the Microsoft BI Stack
• Develop operational BI dashboards for Claims, Procurement and Operations;
• Build governed semantic layer ensuring single version of the truth; maintaining data model schema, hierarchy within data warehouses and reporting systems
• Integrate and standardize data across PAS and external systems;
• Deliver claims analytics (cycle time, leakage, SLAs) with predictive insights on claims leakage, severity and settlement trends
• Deliver procurement analytics (spend, supplier performance) including cost optimisation opportunities
• Deliver broker and binder monitoring and analytics including performance forecasting and risk analysis
• Develop product and commercial analytics including profitability drivers and growth opportunities
• Assist with actuarial pricing embedment within the business and development of processes to support end to end pricing
• Enable operational process monitoring and reporting with forward looking KPIs and predictive alerts
• Support data quality, reconciliations and controls;
• Document BI assets and reporting definitions;
• Automate recurring reporting processes.

Competencies

• Must have prior experience developing business intelligence solutions in large or midsize companies.
• Must be able to manage multiple tasks simultaneously and react to problems quickly.
• Must be able to translate concepts and directions into practical solutions.
• Must have experience in reporting and business intelligence solutions.
• Must be able to develop, maintain, review and explain data models.
• Must have excellent verbal and written communication skills.
• Must be a team player and able to work with diverse teams and stakeholders.
• Must have extensive experience with T-SQL.
• Understanding of the financial services industry desired, especially Insurance.
• Experience using data visualization tools, e.g., Power BI .
• Excellent problem-solving skills and the ability to translate business requirements into actionable insights.
• Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (e.g., AWS, Azure, Google Cloud Platform, Databricks).