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Business Data Analyst
4 weeks ago
This role is for a Business Data Analyst who can turn complex datasets into critical business insights. This position supports Sales, Marketing, and Finance, driving data visualisation, KPI tracking, and forecasting to improve commercial decision-making.
It's a high-visibility, business-facing role, ideal for someone who thrives on autonomy, stakeholder engagement, and delivering insights rather than just building reports.
The Role:- Deliver data-driven insights – Supporting Sales & Marketing with KPIs, forecasting, and quarterly business reviews.
- Own key dashboards & reporting – Work with Power BI, Python, and Azure, integrating multiple data sources.
- Support commercial analytics – Customer trends, market share tracking, and business performance analysis.
- Be a key business partner – Engaging across the business to support decision-making with data-driven insights.
- Part of a global Data & Analytics team – Collaborate on best practices, reporting, and strategy alignment.
- Data analytics & visualisation skills – Power BI, Python, SQL, and cloud-based tools (Azure, Snowflake).
- Strong commercial acumen – Ability to translate data into business strategy.
- Stakeholder management – Confident in presenting insights to senior leaders.
- Autonomous & accountable – Someone who can own projects and deliver results.
- Strong brand presence – Join a well-established, globally recognised company with a strong reputation in the market.
- Opportunity for ownership – Take charge of key dashboards, analytics, and reporting, influencing decision-making across the business.
- Career growth – Gain exposure to high-impact projects and emerging data technologies, with scope to develop your skill set.
- Supportive & engaging culture – Work in a collaborative, down-to-earth team that values initiative and contribution.
Interested? Apply today or reach out to me directly at laura@aligntalent.com.au for a confidential chat.
Seniority levelAssociate
Employment typeFull-time
Job functionInformation Technology
IndustriesSporting Goods Manufacturing, IT System Data Services, and Data Infrastructure and Analytics
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