Data Analyst
Brand Collective · Cremorne, Melbourne VIC ·
- Work mode
- Hybrid
- Seniority
- Lead
- Employment
- Full time
- Category
- Data analytics
- Experience
- 5+ years
Brand Collective · Cremorne, Melbourne VIC ·
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Join our Technology team as a Data Analyst and help turn Brand Collective’s data into trusted insight and AI-ready information across Retail, Digital, Omnichannel and Marketing.
You’ll play a key role in building our Group data lake/lakehouse and supporting major AI initiatives, including our Merchandise Financial Planning program. Working across POS, ERP, eCommerce, CRM, Marketing and Finance data, you’ll bring together, model and validate information and business definitions to enable better reporting, planning and decision-making.
You’ll also help establish trusted data definitions, improve data quality and governance, build self-service reporting and identify opportunities to automate how we use data across the Group.
WHAT YOU’LL BE DOING
ABOUT YOU
JUST SOME PERKS WE OFFER
READY TO MAKE AN IMPACT?
Turn data into action. Join Brand Collective’s Technology team and help build the data foundations, insights and AI capabilities shaping how our brands make better decisions.
ABOUT BRAND COLLECTIVE
Brand Collective is one of Australia's most prominent apparel, footwear & sport groups, operating our omnichannel offer across 300+ stores with over 3,000 team members, a comprehensive online business and an extensive wholesale network. Our portfolio ranges from iconic heritage to timeless contemporary, from street culture to considered craftsmanship, and from private label to international luxury fashion brands. We bring brands to life!
At Brand Collective our customers come from all walks of life, and so do we! We value diversity and inclusion in all forms, thus hire based on capability and performance. If you feel like your skills align with the role and company culture, apply today to bring brands to life!
Please note: at this time, Brand Collective are not seeking recruitment agency support for this role, and will not be liable for any unsolicited candidate profiles or associated fees. We encourage applicants to apply directly to this posting if they would like to be considered for this opportunity. The advertising of this role may close earlier than the listed date, and we encourage applicants to apply early.
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