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Sydney, NSW, Australia
Actively hiring, first seen by us todayAnalyse and interpret large, complex datasets for business insights
Extract and prepare insurance data for analysis and modelling
Develop and maintain statistical and machine learning models
Support design and implementation of pricing solutions
Translate technical findings into recommendations for non-technical audiences
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.
Translate technical findings into clear and practical recommendations for non-technical audiences.
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
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Day 0
Early. Similar jobs usually come down between day 5 and day 42.
From 12,583 similar postings that came down. Coming down is not always a hire.
1 open job
Open jobs by the week we first saw them, last 12 weeks.
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- 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.
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New Analyst postings at the employers we follow are up 24% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
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.
This is an exciting opportunity to work with large and complex data sets, cutting-edge modelling capabilities and experienced analytics professionals while developing your technical and commercial expertise in a leading insurance organisation.
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:
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:
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:
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 sophia.fretwell@suncorp.com.au.
Apply now and join a team where analytics, innovation and data-driven decision making make a real impact.
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Sydney, NSW, Australia
- 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.
No clear work-authorization passage found. Eligibility is unconfirmed.