Data Analyst

About HUB24

At HUB24, we’re rethinking the way wealth management works, combining platform, technology and data to create better outcomes for financial professionals and their clients.

Our purpose is simple:  Empower better financial futures, together.

What sets us apart is how we work. We back bold thinking, move with pace, and turn ideas into action. You’ll have the opportunity to make a real impact across your team, the business, and for the clients we support every day.

HUB24 Limited is an ASX-listed company (ASX: HUB) and part of the ASX100. We have over 1,100 employees across Australia, with offices in Sydney, Melbourne, Brisbane, Perth and the Gold Coast. 

Why you’ll enjoy working here

We create an environment where you can do your best work and see the impact of it.

• Work with smart, collaborative people who get things done.
• Your ideas won’t sit in a backlog, they’ll be heard, tested and actioned.
• Grow your career your way, with support to learn, stretch and explore new opportunities.

We also offer benefits to support you inside and outside of work:

• Genuinely flexible and hybrid ways of working.
• Employee Share Scheme.
• Additional leave and wellbeing support.
• Enhanced parental leave and support through different life stages.
• Everyday benefits, including discounts and financial wellbeing support.

Why this is an exciting opportunity

We’re looking for an experienced Five Data Analyst to join our Data Strategy & Analytics team on a 12-month fixed-term contract, based in Melbourne, Sydney or Brisbane.

In this role, you’ll turn complex data into meaningful insights that help the business make better decisions and improve performance. You’ll work closely with stakeholders across areas including Finance, Risk, Product, Operations, Technology, Distribution and Business Development to understand their priorities, identify opportunities and develop practical analytics solutions.

This is a great opportunity for an analyst who enjoys being hands-on with data while also partnering with the business. You’ll use tools such as SQL and Python to investigate problems, uncover opportunities and deliver insights that lead to measurable business outcomes.

What you’ll be doing

• Partner with stakeholders to understand business objectives, challenges and analytical needs.
• Analyse complex datasets to identify trends, opportunities and actionable insights.
• Design and develop reliable, scalable analytics solutions that address real business problems.
• Use SQL and Python to interrogate, analyse and model data.
• Apply statistical and advanced analytical techniques where appropriate to support better decision making.
• Translate analytical findings into clear and commercially meaningful recommendations for stakeholders.
• Support key business initiatives through detailed analysis, insights and data-driven recommendations.
• Identify existing data assets that can support business needs and contribute to the development of new analytical assets where required.
• Work collaboratively across the broader Data Strategy & Analytics function, including Data Development and Data Visualisation teams.
• Help manage and prioritise analytical requests in line with broader strategic objectives.
• Build strong relationships with stakeholders and become a trusted partner for data-led decision making.
• Communicate analytical findings clearly to both technical and non-technical audiences.

What you bring

You don’t need to tick every box, but experience in the below will set you up for success.

Experience & Skills

• Bachelor’s degree in Data Science, Mathematics or a related discipline, with knowledge of statistical and analytical techniques.
• Strong hands-on experience with SQL and Python.
• Demonstrated analytical, problem-solving and critical-thinking capability.
• Experience using data and analytics to solve business problems and deliver measurable outcomes.
• Experience working with and influencing stakeholders across multiple business functions.
• Ability to translate complex analysis into clear, practical and actionable business insights.
• Strong communication and presentation skills.
• Ability to build trusted relationships and work effectively with both technical and business stakeholders.
• Experience within financial services and/or data analytics consulting.
• Ability to work both independently and collaboratively in a fast-paced environment.

Highly Regarded

• Experience with Databricks, Snowflake and dbt.
• Experience applying data analytics across customer, marketing, operations or process optimisation.
• Experience developing analytical or statistical models to support commercial decision making.

Our process

We aim to keep the process simple and respectful of your time:

• You’ll receive an acknowledgement after applying.
• Our Talent team will review your application and keep you updated.
• If shortlisted, we’ll connect to learn more about you.
• Interviews may be virtual or in person.
• You’ll receive an outcome and feedback.

If you need any adjustments, please let us know - we’re here to support you.

Our commitment

We’re committed to building an inclusive environment where everyone feels valued and supported to do their best work. We welcome applications from people of all backgrounds, identities and experiences.

Agencies, we work with a panel of preferred suppliers and are not accepting any unsolicited CVs.