High ownership role driving commercial impact across stakeholders and strategy Your new company
This business focuses on helping organisations operate more efficiently by reducing time spent on everyday operational tasks and improving overall commercial outcomes. By leveraging deep sector knowledge and established supplier networks, it enables customers to make smarter purchasing decisions with greater confidence.

Your new role
This is a senior individual contributor role within a small, high-impact data team focused on solving the organisation's most important commercial problems. The role owns end-to-end delivery of data and analytics initiatives across Sales, Marketing, Operations, and Finance, working closely with senior stakeholders.
You will take ownership of high-priority work, flexing across analytics, reporting, data quality, and ad hoc problem-solvers as business needs shift. Success in this role is measured by commercial impact and quality of delivery, not volume of output. What you'll need to succeed

- 7+ years across data analytics, data science, or data engineering
- Strong ability to link analysis to revenue,



margin, or conversion outcomes
- Advanced SQL and Python, working with large, complex datasets
- Robust Power BI capability, including executive-trusted dashboards
- Hands-on experience with data quality, governance, and root-cause resolution
- Practical exposure to AI / LLM tools
- Clear, confident communication with senior stakeholders

What you'll get in return
you'll join a growing, people-focused organisation where your work has real impact. You'll be trusted with ownership, supported by experienced colleagues, and given the opportunity to contribute to meaningful projects. The company offers a competitive salary including a bonus package & flexibe working.

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
#2991998

📌 Data Analytics Manager (Sydney)
🏢 Recognized
📍 Sydney