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About the Role

As an Analyst, you will contribute to client engagements end to end: framing the question, doing the analysis, and helping land the insight. You will work alongside senior analysts who coach you, and you will use AI as a daily multiplier on your own work from the start. This is a consulting analytics role, not an in-house analytics role. The work is project-based, client-facing and time-pressured. Judgement and framing matter more here than how much code you write.

Responsibilities

Contribute to analytics engagements end to end, from data preparation and exploration through to insight and presentation
Help structure ambiguous client problems into clear analytical plans and testable hypotheses
Build analysis using statistical, data science and AI-enabled methods
Use AI to accelerate your work, staying alert to where it goes wrong, off-target or rests on a hidden assumption
Communicate findings clearly to technical and non-technical audiences through narratives, visuals and recommendations
Apply quality assurance and keep clear, reusable documentation of methods and outputs
Seek out feedback and build your technical, domain and consulting capability
Deliver analytical work on time and to a quality standard, with clear links to business impact
Frame problems before diving into analysis; avoid waiting for a fully defined brief
Use AI tools actively and critically, recognising where outputs require scrutiny
Produce clear, well-documented code and methods that others can reuse and build on
Communicate findings in plain language with a clear recommendation or next step
Actively seek feedback from senior analysts and act on it between engagements
Identify and flag opportunities to extend value within existing engagements

Requirements

Commercial experience: Real world examples of building solutions and delivering value in a commercial environment
Technical proficiency: Fluency in data analytics tools and programming languages, including SQL, R, Python, and visualisation platforms
Solution-oriented experience: A natural instinct to ask what the real question is and to structure messy problems without a clear brief
Agile performer: Capability to move fast with care through a dynamic environment
Intellectual curiosity: Active daily use of AI tools such as Claude, ChatGPT or Copilot, past the experimentation stage, and into building
Ability to solve problems and think big

Skills

Data preparation
Data exploration
Statistical methods
Data science methods
AI-enabled methods
AI tools
Communication
Narrative building
Visualisation
Recommendations
Quality assurance
Documentation
SQL
R
Python
Problem structuring
Critical thinking

Location

Australia

Work Type

Hybrid
Flexible work arrangements
Remote working (up to 2 months per year)

Experience Level

Analyst

Benefits

Flexible work arrangements
Continuous learning opportunities
Remote working (up to 2 months per year)

About the Company

Quantium is a world leader in data science and artificial intelligence.
Established in Australia in 2002, Quantium is a global team of more than 1,200 people across 14 locations.
Quantium has a unique blend of capabilities across product and consulting services to help businesses unlock value from data and analytics.
Quantium partners with the world's largest corporations to forge a better, more intelligent world.
Quantium's Financial Services Consulting practice partners with Australia's banks, insurers, super funds and wealth managers to turn data into decisions.
The practice works as an embedded analytics partner with an AI-first delivery model, helping clients move from intuition to evidence.
The core focus is insurance, with active expansion into banking, superannuation and wealth.

Equal Opportunity

Quantium’s recruitment process involves the collection and use of personal information, see our Candidate Data Collection Notice for more information. This provides information on how we collect, use & store your personal information, including potential disclosure to our majority shareholder, Woolworths Group Limited.