Part-Time Data Assistant (Cin7 & eCommerce Product Data)

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

TYPE OF WORK

Part Time

SALARY

U$6.00 - 7.00/Hour

HOURS PER WEEK

TBD

DATE UPDATED

Aug 3, 2026

JOB OVERVIEW

Remote | Part-Time | Fixed-Term Contract (Potential to Become Permanent)

Seed & Sprout is an Australian eCommerce brand creating beautifully designed, sustainable products for the home. We're looking for a highly organised Data Assistant to support our Product team during a busy period of product launches.
This role is ideal for someone who enjoys working with data, has exceptional attention to detail, and is confident learning new systems.

There is potential for this role to become permanent for the right person.

About the Role
You'll work closely with our Product Coordinator and Product team to accurately set up products in Cin7 before they're handed over to our Marketing team for Shopify setup.
Accuracy is critical, as you'll help ensure new products launch correctly and on time.

What You'll Be Doing
Product Setup
Create and update product listings in Cin7
Enter accurate product information including SKUs, pricing, categories and descriptions
Ensure listings are complete before handover to Marketing
Bundle & Multi-Buy Configuration
Set up bundles and promotional product configurations
Ensure bundle components are linked correctly
Flag any issues before launch
Product Family Management
Configure product families so Shopify variants are created correctly
Check all configurations before completion
Product Maintenance
Deprecate discontinued bundles in Cin7
Keep product information current and accurate
Task & Project Management
Manage your daily workload through Asana
Update task progress regularly
Flag blockers or missing information promptly
Help maintain accurate product information across internal documents

General Support
Assist the Product team with ad hoc tasks during new product launches
Adapt to changing priorities in a fast-paced environment

About You
You'll be a great fit if you:
Have exceptional attention to detail
Enjoy working with systems and data
Can manage your workload independently
Learn new software quickly
Communicate clearly when something isn't right
Take pride in producing accurate work
Are adaptable and enjoy working in a growing business

Experience We're Looking For

Preferred:
Experience with Cin7 (highly regarded)
Experience with Shopify or another eCommerce platform
Experience using Asana or similar project management software
Previous experience in product data entry, inventory management or eCommerce operations
Strong Google Sheets or Excel skills
Don't worry if you haven't used every platform before. If you're a fast learner with excellent attention to detail, we'd still love to hear from you.

What We Offer
Fully remote position
Flexible part-time hours (to be confirmed)
Supportive Australian team
Opportunity to learn eCommerce product operations
Potential to grow into a permanent role

To Apply
Please include:
Your resume
A brief introduction telling us about your experience with product data, inventory systems, or eCommerce
Any experience using Cin7, Shopify, Asana, or similar platforms
Your available weekly hours

We look forward to hearing from you!

SKILL REQUIREMENT
VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0011
Controller Execution Time ( Jobseekers / Job )  0.0226
Total Execution Time  0.0289
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,501,048 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/Part-Time-Data-Assistant-Cin7-eCommerce-Product-Data-1701260
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0121 seconds)  (Hide)
0.0004   SELECT *
                                
FROM exrates
                                WHERE rate_name 
'USD-PHP' 
0.0003   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1701260
 LIMIT 1 
0.0009   SELECT *
FROM `employers`
WHERE `employer_id` = 924416
 LIMIT 1 
0.0014   SELECT COUNT(*) AS `numrows`
FROM `t_thread` `t`
LEFT JOIN `t_thread_misc` `miscON `t`.`id` = `misc`.`thread_id`
WHERE `t`.`job_id` = 1701260
AND `misc`.`idIS NULL 
0.0005   SELECT e.business_namee.logoe.websitee.rebill_datee.date_added member_datehitsDATEDIFF('2026-08-13',ej.date_added) duration_daysDATEDIFF('2026-08-13',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('2026-08-13',ej.date_added) <= 14 ))
                                   AND 
e.deactivate != AND ej.deleted AND job_id '1701260' 
0.0008   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1701260 
0.0008   UPDATE employer_jobs SET hit_counts '***Aug-03-2026=2017***Aug-04-2026=201***Aug-05-2026=137***Aug-06-2026=67***Aug-07-2026=70***Aug-08-2026=43***Aug-13-2026=1' WHERE job_id'1701260'  
0.0007   UPDATE employer_jobs SET monthly_hits '***Aug-2026=2535' WHERE job_id'1701260'  
0.0008   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id '' AND job_id '1701260' AND status LIKE 'sent%' ORDER BY id DESC  
0.0010   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1701260 
0.0028   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '924416'
AND `date_added` >= '2022-06-08' 
0.0005   select from teasers 
0.0013   SELECT FROM skill_categories WHERE skill_cat_id='' 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)