Data Analyst
Role Overview
Data Analyst in Brand Collective’s Technology team, building trusted, AI-ready information across Retail, Digital, Omnichannel and Marketing.
Support the Group data lake/lakehouse and major AI initiatives, including Merchandise Financial Planning.
Work across POS, ERP, eCommerce, CRM, Marketing and Finance data to improve reporting, planning and decision-making.
Key Skills for This Role
Full Job Posting
Role overview
Data Analyst in Brand Collective’s Technology team, building trusted, AI-ready information across Retail, Digital, Omnichannel and Marketing.
Support the Group data lake/lakehouse and major AI initiatives, including Merchandise Financial Planning.
Work across POS, ERP, eCommerce, CRM, Marketing and Finance data to improve reporting, planning and decision-making.
What you’ll be doing
- Support the Data Platform strategy and Group data lake/lakehouse through data mapping, source analysis and requirements gathering.
- Prepare, cleanse, model and validate data across business systems to ensure it is accurate and fit for purpose.
- Design semantic models and centralise metric logic, calculations and business rules for consistent, reusable KPIs.
- Prepare data for forecasting models, track model accuracy and assess readiness for AI use cases.
- Build and maintain Power BI dashboards and self-service reporting across Retail, Digital, Omnichannel and Marketing.
- Analyse performance data and translate trends, opportunities and issues into clear commercial recommendations.
- Partner with Technology and business stakeholders to improve data quality, governance and data literacy; automate reporting and maintain data dictionaries and lineage.
About you
- 3–5+ years’ experience in data analysis, ideally in retail, eCommerce, omnichannel, marketing or finance.
- Advanced SQL and strong data modelling experience; dimensional/star schema experience is ideal.
- Strong Power BI capability, including DAX and data modelling, or equivalent BI expertise.
- Experience with multi-brand, multi-channel data and understanding of retail and commercial KPIs.
- Exposure to modern cloud data platforms, data lake/lakehouse projects or data governance is desired.
- Interest in AI/ML and experience supporting forecasting, merchandise planning, personalisation or generative AI use cases is desired.
- Strong data storytelling and stakeholder-management skills, with the ability to make complex analysis commercially relevant.
Benefits
- Pet-friendly workspace and product allowances and discounts, including access to sample sales.
- Celebration, paid parental and volunteer leave; novated leasing and service rewards.
- Health-cover discounts and access to mental-health professionals through the Employee Assistance Program.
About Brand Collective
Australian apparel, footwear and sport group with an omnichannel business spanning 300+ stores, an online business and a wholesale network.
The company states it hires based on capability and performance and values diversity and inclusion.
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