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Overview
The Senior Pricing Analyst is responsible for developing and maintaining accurate pricing models using advanced modelling techniques. The role also involves effectively communicating analytical findings to diverse stakeholders and making recommendations that align with the company's strategic direction for consumer and commercial brands and products.
Key Accountabilities
* Undertake price comparisons with competitor brands to align with the company's brand strategy. Monitor competitors' pricing movements and market share, and incorporate all relevant information into pricing recommendations and proposals.
* Conduct technical analysis, including building predictive models. Research competitor pricing behaviours and provide in-depth knowledge and understanding of competitor pricing factors and strategies.
* Identify, investigate, and introduce new modelling approaches to improve model accuracy and predictive performance.
* Promote innovation by enhancing current processes and driving automation.
* Develop and maintain dashboards and reports to meet business needs, including report automation. Prepare ad hoc reports and analysis for various parts of the business.
* Develop pricing recommendations and proposals designed to closely align pricing strategies with each brand's target market.
* Assist Senior Pricing Advisors and Pricing Managers in making pricing recommendations, implementing them, and monitoring accuracy.
* Build positive stakeholder relationships to foster a productive environment and open communication channels.
* Prepare and review pricing papers prior to communication with key stakeholders.
* Take responsibility for personal development plans and professional learning goals.
Qualifications
* Relevant degree in Actuarial Studies, Statistics, Mathematics, Data Science or related field.
Experience Requirements
* Advanced analytical skills in data science, statistical modelling, and predictive modelling.
* Ability to independently develop and undertake statistical analysis and research.
* Experience using SAS and R is essential; proficiency in other programming languages such as Python and SQL is desirable.
* Experience working with large and complex datasets.
* At least 2 years of experience in analytics and predictive modelling.
* Industry experience in Financial Services, preferably in General Insurance, with a good understanding of insurance products, market environment, and customer segments.
Capabilities Requirements
* Problem Solving – Ability to seek out information and break down problems and situations into clear, manageable components.
* Communication Skills – Strong ability to convey and explain information coherently and confidently, both orally and in writing. Able to present findings to stakeholders with and without technical backgrounds.
* Time Management – Ability to prioritise work effectively without supervision.
* Project Management.
About Suncorp Group
We believe we are at our best when our workforce is as diverse, talented and passionate as the communities in which we live and operate, and where our people feel included, valued and connected. We are passionate about inspiring our people by creating a diverse, accessible, and inclusive culture, offering flexible work, career development and internal mobility, and building connected relationships amongst our team members and with our customers.
Employee benefits | Suncorp Group
For more information or if you require any support and adjustments to participate equitably in our recruitment process or in the workplace, we encourage you to contact for a confidential conversation.
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