Senior Analytics 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

The Senior Analytics Analyst will partner with key stakeholders across the business to translate complex business challenges into practical, data-driven solutions and actionable insights.

This role combines hands-on analytics with strategic business partnering. You will develop scalable analytics solutions, apply advanced analytical and statistical techniques, and use data to support better decision-making and measurable improvements in business performance.

Working closely with Data Strategy & Analytics and stakeholders across Finance, Risk, Product, Operations, Technology, Distribution and Business Development, you will act as a trusted analytics partner and help embed data-led decision-making across the organisation.

What you’ll be doing

• Partner with business stakeholders to understand strategic priorities, business challenges and opportunities where analytics can add value.
• Design and develop reliable, scalable analytics solutions that address business needs and support measurable outcomes.
• Analyse complex datasets and translate findings into clear, objective and actionable business insights.
• Apply advanced statistical and analytical techniques to identify opportunities and improve business processes, decision-making and performance.
• Build a strong understanding of the organisation's data landscape and identify relevant data assets to support business initiatives.
• Work closely with Data Strategy & Analytics teams, including data development and visualisation specialists, to deliver end-to-end analytics initiatives.
• Act as a key connection between the broader analytics function and business stakeholders, helping assess and prioritise strategic programmes and ad-hoc analytics requests.
• Coordinate dependencies including resourcing, technical requirements and delivery schedules, and communicate these effectively to stakeholders.
• Support strategic initiatives and client opportunities through detailed analysis, commercial insights and data-driven recommendations.
• Build trusted relationships with senior stakeholders and influence key decisions using evidence-based insights.
• Communicate complex analytical findings clearly and persuasively to both technical and non-technical audiences.
• Promote continuous improvement and identify opportunities to increase the maturity and effectiveness of analytics across the business.

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, Statistics or a related quantitative discipline, with a strong understanding of advanced statistical techniques.
• Strong programming capability in SQL and Python.
• Demonstrated experience delivering analytics solutions that produce measurable business outcomes.
• Experience applying advanced statistical modelling and analytical techniques to real-world business problems.
• Strong analytical, critical-thinking and problem-solving skills.
• Proven experience partnering with multiple business units and influencing business decisions through data and analytics.
• Ability to translate complex analysis into clear commercial insights and recommendations.
• Strong stakeholder management, influencing and communication skills.
• Ability to build credibility and trusted working relationships with stakeholders at different levels of an organisation.
• Experience within financial services and/or data analytics consulting.
• Ability to work autonomously while collaborating effectively across multidisciplinary teams.
• Strong attention to detail with a focus on delivering high-quality work and commercial outcomes.
• Adaptable and comfortable operating in a fast-paced, changing environment.

Desirable

• Experience with Databricks and dbt.
• Experience applying analytics within customer, marketing or operational environments.
• Experience using data to support process optimisation and continuous improvement.

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.