Online Data Analyst

4 days ago

Kew, Australia Hanes Full time

**Online Data Analyst | Permanent | Melbourne**

**Join the team behind Australia’s most loved brands — Bonds, Berlei, Sheridan, Bras N Things & more.**

**About the role**

We’re looking for a data-driven thinker to power up our ecommerce performance. As an Online Data Analyst at Hanes (**— Bonds, Berlei, Sheridan,Bras N Things)** you’ll turn complex data into clear insights that improve customer experience and drive sales.

Using tools like GA360, GTM, BigQuery, and GCP, you’ll spot trends, guide digital strategy, and work closely with teams across the business to make smarter, faster decisions.

**What you’ll do**
- Analyse ecommerce, website, and customer behaviour data
- Deliver insights that optimise marketing and UX
- Use GA360, GTM, and BigQuery for tracking and reporting
- Monitor GCP costs and performance
- Present clear, actionable recommendations to teams

**What you bring**

✔ 3+ years in a similar role
✔ Strong skills in GA360, GTM, BigQuery & SQL
✔ Solid understanding of ecommerce data
✔ GCP management experience
✔ Sharp analytical and communication skills
✔ Detail-oriented, organised, and innovative
✔ Great at building cross-functional relationships

**What’s in it for you**:

- Wellness programs including EAP, flu shots, skin checks, 2 well being days and fresh fruit delivered onsite
- “Summer Fun” leave -day off every fortnight during summer months
- Company-wide recognition program
- Monthly business updates and community partner sessions
- Ongoing training and professional development opportunities
- 82K + super + benefits

**Who we are**

HanesBrands Australasia is home to some of Australia’s most iconic brands, including Bonds, Berlei, Sheridan, and Bras N Things. With a growing e-commerce presence, a strong retail footprint, and a commitment to comfort, innovation, and sustainability, Hanes is a place where you can truly make an impact.

**Cultivating a diverse and inclusive workplace**

**Ready to apply?**

**Click a**pply now and turn data into action.

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