Ecommerce Specialist (Shopify)

Please login or register as jobseeker to apply for this job.

TYPE OF WORK

Full Time

SALARY

US$306/ week

HOURS PER WEEK

40

DATE UPDATED

Feb 26, 2026

JOB OVERVIEW

Job Title: Ecommerce Specialist (Shopify)
Department: Ecommerce
Employment Type: Full-time
Start: Immediate
Mon-Friday 9am-5pm AEST
Weekly Payment US$306

About the Role
We’re looking for a detail-driven Ecommerce Specialist to support the Ecommerce Manager across two DTC fashion
brands. This role plays a critical part in the day-to-day running and performance of both
Shopify stores, supporting trading, merchandising, digital marketing, and inventory-led decision making.

You’ll work closely with ecommerce, marketing, creative, and operations teams to ensure both online stores are commercially optimised, well-merchandised, and supported by accurate reporting and insights.

Key Responsibilities

Ecommerce Operations (Shopify)
- Assist in the daily management of the stores
- Maintain product listings, collections, pricing, tags, and merchandising rules
- Build and manage homepage updates, landing pages, navigation, and promotional content
- Support product launches, seasonal drops, sale events, and site-wide promotions
- Monitor site performance and troubleshoot issues in collaboration with developers and app partners

Online Merchandising & Trading
- Support online merchandising strategies to maximise conversion, AOV, and sell-through
- Manage product ordering and collection structure to align with seasonal trading goals
- Implement upsell, cross-sell, bundle, and promotional strategies
- Ensure best practice execution across PDPs (imagery, copy, sizing, reviews, FAQs)
- Support A/B testing and CRO initiatives to improve onsite performance

Sales Analysis, Reporting & Forecasting
- Analyse daily, weekly, and monthly sales performance across both brands
- Produce ecommerce trading reports covering revenue, conversion, AOV, traffic, and product performance
- Identify trends, risks, and opportunities through sales and customer data
- Assist with forecasting and scenario planning for promotions and seasonal peaks
- Support post-campaign analysis and trading recaps

Inventory Management & Buying Support
- Monitor stock levels, sell-through, and weeks of cover across both DTC businesses
- Support inventory management and stock optimisation to minimise sell-outs and overstock
- Assist in the preparation of reports to inform future purchase orders and buy quantities
- Work with operations and planning teams on stock flow, replenishment, and back-in-stock priorities
- Maintain accurate product and inventory data within Shopify and connected systems

Digital Marketing Support
- Assist in the execution and optimisation of paid digital campaigns (Meta, Google, TikTok)
- Align ecommerce promotions with paid media, email, and SMS activity
- Support creative testing, campaign setup, and performance analysis
- Monitor ROAS and conversion performance, feeding insights back into trading decisions

Cross-Functional Collaboration
- Work closely with Ecommerce, Marketing, Creative, Planning, and Operations teams
- Support customer service teams with product, stock, and promotion knowledge
- Ensure seamless execution of campaigns across site, paid media, and CRM

Essential
- 2–4+ years’ experience in ecommerce, ideally within fashion or apparel DTC
- Strong hands-on experience with Shopify
- Demonstrated experience in online merchandising, sales analysis, and reporting
- Understanding of inventory management, sell-through, and buying cycles
- Experience supporting paid digital campaigns (Meta, Google)
- High attention to detail with strong organisational and analytical skills

Desirable
- Experience working across multiple brands or storefronts
- Experience with Klaviyo, Gorgias, and Shopify apps
- Exposure to inventory systems such as CIN7 or similar
- Basic understanding of HTML/CSS or Shopify Liquid
- Adobe Photoshop and Illustrator capabilities
- Experience with digital ad campaign platforms

Personal Attributes
- Commercially minded with strong numerical confidence
- Proactive and solutions-focused
- Comfortable managing multiple priorities in a fast-paced environment
- Strong communicator and collaborative team player
- Passion for fashion, ecommerce, and DTC brands

Why Join Us
- Work across two established and globally recognised DTC brands
- Be part of a high-performing ecommerce and digital team
- Gain exposure to trading, merchandising, and buying decision-making
- Opportunity to grow into a senior ecommerce or trading role

VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0010
Controller Execution Time ( Jobseekers / Job )  0.0172
Total Execution Time  0.0198
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,520,048 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/Ecommerce-Specialist-Shopify-1588724
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0085 seconds)  (Hide)
0.0004   SELECT *
                                
FROM exrates
                                WHERE rate_name 
'USD-PHP' 
0.0004   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1588724
 LIMIT 1 
0.0003   SELECT *
FROM `employers`
WHERE `employer_id` = 841419
 LIMIT 1 
0.0017   SELECT COUNT(*) AS `numrows`
FROM `t_thread` `t`
LEFT JOIN `t_thread_misc` `miscON `t`.`id` = `misc`.`thread_id`
WHERE `t`.`job_id` = 1588724
AND `misc`.`idIS NULL 
0.0005   SELECT e.business_namee.logoe.websitee.rebill_datee.date_added member_datehitsDATEDIFF('2026-04-18',ej.date_added) duration_daysDATEDIFF('2026-04-18',e.rebill_date) duration_rebillej.*, e.deactivate FROM employers eemployer_jobs ej WHERE e.employer_id ej.employer_id AND
                                   ((
e.user_level >= '500' AND ej.date_added <= e.rebill_date)
                                   OR 
e.employer_id '' OR (ej.date_approved <> '2000-01-01' and DATEDIFF('2026-04-18',ej.date_added) <= 14 ))
                                   AND 
e.deactivate != AND ej.deleted AND job_id '1588724' 
0.0003   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1588724 
0.0010   UPDATE employer_jobs SET hit_counts '***Feb-26-2026=560***Feb-27-2026=63***Feb-28-2026=30***Mar-01-2026=14***Mar-02-2026=22***Mar-03-2026=23***Mar-04-2026=21***Mar-05-2026=6***Mar-06-2026=17***Mar-07-2026=4***Mar-08-2026=7***Mar-09-2026=4***Mar-10-2026=11***Mar-11-2026=4***Mar-12-2026=2***Mar-13-2026=2***Mar-14-2026=2***Mar-15-2026=1***Mar-16-2026=2***Mar-17-2026=4***Mar-19-2026=4***Mar-20-2026=5***Mar-21-2026=3***Mar-22-2026=2***Mar-23-2026=5***Mar-25-2026=2***Mar-26-2026=3***Mar-27-2026=6***Mar-28-2026=1***Mar-29-2026=3***Mar-30-2026=2***Mar-31-2026=2***Apr-01-2026=1***Apr-02-2026=2***Apr-03-2026=2***Apr-05-2026=1***Apr-06-2026=4***Apr-07-2026=5***Apr-08-2026=2***Apr-10-2026=2***Apr-11-2026=1***Apr-18-2026=1' WHERE job_id'1588724'  
0.0006   UPDATE employer_jobs SET monthly_hits '***Feb-2026=653***Mar-2026=184***Apr-2026=21' WHERE job_id'1588724'  
0.0009   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id '' AND job_id '1588724' AND status LIKE 'sent%' ORDER BY id DESC  
0.0003   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1588724 
0.0016   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '841419'
AND `date_added` >= '2022-06-08' 
0.0003   select from teasers 
0.0002   SELECT FROM skill_categories WHERE skill_cat_id='' 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)