Location: Sydney (preferred), Brisbane or Melbourne – flexible working conditions.
Contract: 12‑month max‑term contract chance.
About the role The role of data analyst within the Model Activate & Analytics team of the Pricing & Analytics Department is to provide modelling outcomes and financial advice to the Consumer Insurance business line. The position supports the team’s purpose of improving product profitability and strengthening financial control across the consumer general insurance products.
What you'll do
Pricing strategy development – work with the Pricing Leader to design, recommend, and implement pricing solutions that support financial and strategic objectives across Consumer Insurance products.
Data extraction & insight generation – extract, cleanse, and manipulate data from multiple systems to draw insights that inform business decisions.
Model development & enhancement – utilise internal modelling platforms to build, monitor, and refine statistical and machine‑learning models aimed at improving risk selection and underwriting performance.
Deliver business solutions – convert analytical outputs into value‑adding recommendations that drive business objectives.
Business communication – present technical concepts and modelling results in a clear and concise manner to both technical and non‑technical stakeholders.
What you'll bring
Bachelor’s degree in data science, actuarial science, statistics, finance or related field.
Experience with general insurance pricing or data‑analytical related fields of work is desirable.
Previous experience in an analytical role and/or proficiency with SAS, R, Python, SQL.
Experience with Earnix is highly valued.
Demonstrated knowledge and experience within complex analytics and modelling projects, with the ability to apply analytical thinking to solve complex problems.
Proactive and self‑driven, with the ability to manage multiple tasks simultaneously.
Ability to summarise and document modelling assumptions, methodologies and outcomes.
Seniority level Not applicable
Employment type Full‑time
Job function Information technology
Industries Financial services and insurance
If you require any support and adjustments to participate equitably in our recruitment process or in the workplace, we encourage you to contact lisa.scanlon@suncorp.com.au for a confidential conversation.
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