Offer summary

Qualifications:

3+ years of experience in direct-to-consumer (DTC) or retail brand analytics., Strong understanding of key eCommerce metrics such as ROAS, CVR, LTV, CAC, and AOV., Advanced skills in Excel/Google Sheets and proficiency with analytics tools like GA4 and Shopify., Experience with SQL and/or Python for data analysis is a plus..

Key responsibilities:

Track and report on marketing campaign results across various platforms including Meta and Google.

Analyze sales trends and assist in demand forecasting for new product drops.

Utilize analytics tools to monitor website performance and recommend UX/UI improvements.

Build and maintain executive dashboards and provide regular reporting to the leadership team.

Job description

This is a remote position.

Schedule: Flexible, during client business hours (Sydney time)

Total Weekly Hours: 20 hours

Purpose of the Role:

To provide actionable insights across the client’s marketing, product, sales, and digital performance—helping drive better decision-making, improve ROI, and scale growth channels effectively.

Key Responsibilities:

1. Marketing Performance Analysis

Track and report on campaign results across Meta, Google, TikTok, Email, and SMS
Analyze trends in ROAS, CAC, CPM, and LTV
Monitor funnel performance and identify drop-offs in CVR or AOV
Collaborate with performance marketers to optimize spend allocation

2. Product & Sales Insights

Analyze sales trends by SKU, collection, and category
Identify top- and under-performing products, including size/color sell-through rates
Assist in demand forecasting for new drops or restocks
Correlate marketing initiatives with product sales performance

3. Website & Conversion Data

Utilize tools such as GA4, Hotjar/Microsoft Clarity, and Shopify Analytics
Monitor key metrics: traffic sources, bounce rates, exit rates, and session durations
Report on conversion rates (CVR) by device, source, collection page, and PDP
Recommend UX/UI and CRO improvements based on data insights