Lead Analyst - Product Analytics

Quantium; Sydney; Hybrid; AUD 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Flexible work arrangements

Global mobility

Remote working

Zusammenfassung

Quantium in Australia is seeking a Senior Analyst in our Product Analytics team to design and deliver sophisticated analytics solutions. You’ll be a technical contributor collaborating with engineers, product specialists, and analysts across global teams.

This role lets you deepen technical expertise while taking on leadership responsibilities, contribute to team capability development, and influence analytics strategy and product roadmaps.

Qualifikationen

• Degree in engineering, mathematics, statistics, computer science, physics, or a related quantitative field — or equivalent demonstrated analytical capability.
• 4–7 years of experience in data science, analytics, or similar technical roles.
• Strong proficiency in Python and SQL with experience handling complex data challenges.
• Good experience with a major cloud platform — Google Cloud Platform (GCP), AWS, or Azure — and cloud‑based data processing.
• Solid understanding of data science methods including experimental design, feature engineering, and model development.
• Growing expertise in machine learning algorithms, statistical modelling, and their practical application.
• Familiarity with software engineering practices including version control, testing, and documentation.
• Strong problem‑solving approach with the ability to work both independently and collaboratively.
• Good communication skills for working with diverse teams across different time zones.
• Interest in supporting team members and willingness to take on coordination and leadership responsibilities.

Aufgaben

• Design and build sophisticated analytics solutions with growing independence, supporting Analytics Leads with solution architecture and technical decision-making.
• Develop analytics approaches that can be scaled and reused across different business contexts.
• Create detailed specifications for analytics work that engineering teams can implement.
• Take responsibility for significant components of analytics solutions including models, algorithms, and optimisation approaches.
• Work with complex datasets using cloud platforms and modern data engineering tools.
• Apply advanced data science methods with attention to quality and scalability.
• Use AI tools effectively to enhance analytical workflows and support team productivity.
• Support product roadmap delivery and ongoing operational requirements.
• Contribute to technical discussions about approach, effort estimates, and timelines.

Kenntnisse

Python

SQL

Communication

ML concepts

Software engineering practices

Ausbildung

Engineering/Mathematics/Statistics/CS/Physics degree or equivalent analytical capability

Tools

GCP

AWS

Azure

Version control

Testing

Documentation

Jobbeschreibung

Who is Quantium?

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 with 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.

As a Senior Analyst in our Product Analytics team, you’ll be an experienced technical contributor taking on increased responsibility in designing and delivering sophisticated analytics solutions. Working within cross-functional teams, you’ll apply advanced data science techniques and collaborate with engineers, product specialists, and analysts across our global teams.

This role offers the opportunity to deepen your technical expertise while exploring leadership responsibilities, contributing to team capability development, and growing your influence within our analytics community.

How You’ll Create Impact

• Design and build sophisticated analytics solutions with growing independence, supporting Analytics Leads with solution architecture and technical decision-making
• Develop analytics approaches that can be scaled and reused across different business contexts
• Create detailed specifications for analytics work that engineering teams can implement
• Take responsibility for significant components of analytics solutions including models, algorithms, and optimisation approaches
• Work with complex datasets using cloud platforms and modern data engineering tools
• Apply advanced data science methods with attention to quality and scalability
• Use AI tools effectively to enhance analytical workflows and support team productivity
• Support product roadmap delivery and ongoing operational requirements
• Contribute to technical discussions about approach, effort estimates, and timelines

The Superpowers You’ll Be Bringing To The Team

Technical depth: Strong proficiency in Python and SQL, with solid cloud platform experience (GCP, AWS, or Azure) and a good grasp of data science methods — from experimental design and feature engineering through to model development and machine learning.

Problem-solving: You approach complex analytical challenges methodically, working both independently and collaboratively to find scalable, high‑quality solutions.

Communication: You communicate clearly across diverse, globally distributed teams, and enjoy sharing knowledge and supporting the capability development of those around you.

Growth mindset: You’re ready to take on more — whether that’s project coordination, mentoring junior analysts, or driving process improvements across the team.

Required Experience And Capabilities

• Degree in engineering, mathematics, statistics, computer science, physics, or a related quantitative field — or equivalent demonstrated analytical capability
• 4–7 years of experience in data science, analytics, or similar technical roles, ready for increased responsibility
• Strong proficiency in Python and SQL with experience handling complex data challenges
• Good experience with a major cloud platform — Google Cloud Platform (GCP), AWS, or Azure — and cloud‑based data processing
• Solid understanding of data science methods including experimental design, feature engineering, and model development
• Growing expertise in machine learning algorithms, statistical modelling, and their practical application
• Familiarity with software engineering practices including version control, testing, and documentation
• Strong problem‑solving approach with the ability to work both independently and collaboratively
• Good communication skills for working with diverse teams across different time zones
• Interest in supporting team members and willingness to take on coordination and leadership responsibilities

Desirable

• Experience with generative AI tools (Claude, ChatGPT, GitHub Copilot) or enthusiasm for learning
• Retail analytics background including consumer behaviour, promotional analysis, or transaction data

What Could Your Quantium Experience Look Like?

Working at Quantium will allow you to challenge your imagination. You will get to solve complex problems using rigour, precision and by asking great questions — but it also means you can think big, outside the box and push your problem‑solving skills to the max.

By joining the Quantium team, you’ll get to:

Forge your path: So many of our team have moved around different teams or offices. You’ll be in the driver’s seat, and we empower you to make your career your own.

Find your kind: Embrace diversity and connect with your tribe (think foodies, dog lovers, readers, or runners).

Make an impact: Leave your mark. Your contributions resonate, regardless of your role or rank.

Benefits

On top of the Quantium Experience, you will enjoy a range of great benefits that go beyond the ordinary. Some of these include:

Flexible work arrangements: Achieve work‑life balance at your own pace with hybrid and flexible work arrangements.

Global mobility: As we expand globally, there are lots of exciting opportunities to work abroad with Quantium.

Remote working: Embrace the opportunity to work outside of your assigned home location for up to 2 months every year.