Data Analyst
HUB24 Sydney, New South Wales, Australia
Financial Services · 501-1,000 employees
About the role
Analyze and interpret data to identify trends, risks, and opportunities that support business decision-making. Develop dashboards, reports, and visualizations while partnering with stakeholders to deliver data-driven solutions.
What they look for
Requirements
Requires experience in data analysis, reporting, or business intelligence with strong SQL skills. Python experience and knowledge of financial services or data consulting tools are highly regarded.
Benefits
Full description
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
As a Data Analyst with HUB24, you will work with stakeholders across the business to deliver reporting, dashboards and actionable insights that support decision-making, drive data maturity, and enhance the impact of data-driven solutions across the Group.
What you’ll be doing
- Analyse and interpret data to identify trends, risks and opportunities that support business decision-making.
- Develop dashboards, reports and visualisations that provide meaningful business insights.
- Use SQL, Python and analytics tools to automate reporting and improve efficiency.
- Partner with stakeholders across the business to understand requirements and deliver data-driven solutions.
- Support data quality, governance and continuous improvement initiatives that enhance the organisation's analytics capability.
What you bring
You don’t need to tick every box, but experience in the below will set you up for success.
Experience & Skills
- Experience in data analysis, reporting or business intelligence.
- Strong SQL skills, with Python experience highly regarded.
- Ability to translate complex data into clear insights and recommendations.
- Strong communication and stakeholder management skills, with the ability to build trusted relationships.
- Proactive, analytical and detail-oriented, with a continuous improvement mindset.
- Experience in financial services, data consulting, Databricks or dbt will be highly regarded.
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.
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