Data Analyst

Suncorp Group; Melbourne; Hybrid; AUD 80,000 - 110,000; Full time

Benefits offered by this job

Three 12-month fixed-term roles

Hybrid work: 3 days in, 2 days home

Sydney-based role within team

Meaningful analytics and modelling to

Ongoing learning and development

Collaborative culture

Job summary

Suncorp Group is seeking talented Data Analysts to join the Model Activate & Analytics team within Consumer Insurance on a 12-month fixed-term contract. You will deliver analytical insights, pricing solutions and predictive modelling to support Motor Insurance profitability and customer outcomes.

You will work with senior analytics and pricing specialists to provide data-driven solutions, translate complex findings for stakeholders and contribute to cross-functional analytics initiatives.

Qualifications

• Degree or higher in a quantitative field (Data Science, Stats, Math, Actuarial, Eng, Econometrics or CS).
• Experience on analytical, modelling or data-focused projects.
• Strong problem-solving and critical-thinking skills.
• Experience using SQL, Python, R or SAS.
• Ability to communicate complex concepts to diverse stakeholders.
• Proactive, collaborative team player with a fast-paced, project-based mindset.
• Insurance pricing analytics or financial services exposure is advantageous.
• Exposure to predictive modelling or ML tools (Earnix) is a plus.

Responsibilities

• Analyse large and complex datasets to deliver actionable insights.
• Prepare and model insurance data for analytics and pricing work.
• Develop and maintain statistical and machine learning models using the organisation's infrastructure.
• Design and implement pricing solutions to improve performance.
• Apply market and risk insights to support product decisions.
• Collaborate with Product, Finance, Claims, Actuarial and Analytics teams to solve challenges.
• Translate findings into clear recommendations for non-technical audiences.
• Contribute to continuous improvement across analytics, modelling and pricing processes.

Skills

Analytical mindset

Stakeholder engagement

Communication

Problem solving

Team collaboration

Education

Degree in Data Science, Statistics, Mathematics, Actuarial Studies, Engineering, Econometrics, Computer Science or related quantitative discipline

Tools

SQL

Python

R

SAS

Earnix

Job description

Job Description

We're looking for talented Data Analysts to join our Model Activate & Analytics team within Consumer Insurance on a 12-month fixed-term contract. With three opportunities available, you'll play a key role in delivering analytical insights, pricing solutions and predictive modelling that support our Motor Insurance business and contribute to improved customer outcomes and product profitability.

Job Description

We're looking for talented Data Analysts to join our Model Activate & Analytics team within Consumer Insurance on a 12-month fixed-term contract. With three opportunities available, you'll play a key role in delivering analytical insights, pricing solutions and predictive modelling that support our Motor Insurance business and contribute to improved customer outcomes and product profitability.

What You'll Be Doing

As a Data Analyst, you'll work closely with senior analytics and pricing specialists to deliver data-driven solutions that support strategic business objectives.

You’ll

• Analyse and interpret large and complex datasets to provide actionable business insights.
• Extract, manipulate and prepare insurance data for analytical and modelling purposes.
• Develop, enhance and maintain statistical and machine learning models using Suncorp’s advanced modelling infrastructure.
• Support the design, recommendation and implementation of pricing solutions that improve business performance.
• Apply customer, market and risk insights to support pricing and product decisions.
• Collaborate with stakeholders across Product, Finance, Claims, Actuarial and Analytics teams to solve business challenges.
• Translate technical findings into clear and practical recommendations for non-technical audiences.
• Contribute to continuous improvement initiatives across analytics, modelling and pricing processes.

What You'll Bring

We're looking for curious and commercially minded analysts who enjoy solving complex problems and turning data into meaningful business outcomes.

Ideally, You'll Have

• A degree in Data Science, Statistics, Mathematics, Actuarial Studies, Engineering, Econometrics, Computer Science or a related quantitative discipline.
• Experience working on analytical, modelling or data-focused projects.
• Strong problem-solving and critical-thinking skills.
• Experience using analytical tools such as SQL, Python, R or SAS.
• The ability to communicate technical concepts and insights to a range of stakeholders.
• Strong stakeholder engagement and collaboration skills.
• A proactive approach with the ability to thrive in a fast-paced, project-based environment.
• Experience within insurance, pricing analytics or financial services will be highly regarded.
• Exposure to predictive modelling, machine learning or Earnix will be advantageous.

Why join us?

At Suncorp, you'll be part of a collaborative and high-performing analytics community where your work directly influences strategic business decisions.

We Offer

• Three 12-month fixed-term opportunities with potential for extension.
• Flexible hybrid working with 3 days in the office and 2 days from home.
• Sydney-based role within a supportive and experienced team.
• The opportunity to work on meaningful analytical and modelling projects that deliver real business impact.
• Ongoing learning and development opportunities.
• A collaborative culture that encourages innovation, curiosity and continuous improvement.

At Suncorp, we believe our best work comes from diverse perspectives and experiences. We are committed to creating an inclusive workplace where everyone feels valued, respected and empowered to succeed.

If you require more information or support to participate equitably in our recruitment process, please contact Sophia Fretwell for a confidential conversation at [e-mail].