Multi-Channel eCommerce Specialist (Amazon, Walmart, eBay, Shopify) – Audit, Fix, and Systemize

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

TYPE OF WORK

Gig

WAGE / SALARY

$500-$1500

HOURS PER WEEK

TBD

DATE UPDATED

Apr 10, 2026

JOB OVERVIEW

We are looking for an experienced eCommerce specialist to help us audit, fix, and improve performance across multiple sales channels, then document processes so our internal team can maintain and scale.

This is not a long-term agency role.
This is a project-based role focused on identifying issues, implementing fixes, and creating systems.

Our business (Capital City Commerce) sells custom and novelty products across:

Amazon
Walmart
eBay
Etsy
Shopify
TikTok Shop

We already have products live and generating sales, but several channels are underperforming or suppressed, and we need an expert to diagnose and fix the root causes.

Scope of Work:
--Phase 1: Audit (High Priority)
--Review all sales channels and identify key issues impacting performance
--Prioritize opportunities based on revenue impact and ease of implementation
--Phase 2: Fix & Optimize
--Walmart
--Resolve listing quality issues (content, attributes, pricing, shipping)
--Fix unpublished/suppressed listings
--Improve listing completeness and compliance
--Amazon
--Identify and resolve listing issues (search suppression, inactive listings, etc.)
--Optimize listings where needed (titles, bullets, backend attributes)
--eBay
--Diagnose why store performance is low or suppressed
--Fix listing structure, item specifics, and visibility issues
--Shopify
--Review site and identify opportunities to improve conversion and sales
--Recommend improvements (UX, product pages, offers, etc.)
--TikTok Shop
--Review current setup and provide growth recommendations
--Phase 3: Documentation & Handoff
--Document key processes and fixes so our internal VA team can maintain and scale
--Provide clear instructions and SOPs where needed

What We’re Looking For:
--Proven experience managing and optimizing multiple eCommerce platforms
--Strong understanding of:
--Listing optimization
--Marketplace policies
--Catalog structure
--Conversion fundamentals
--Ability to diagnose problems quickly and prioritize high-impact fixes
--Experience working with existing product catalogs (not just launching new brands)
--Strong communication and ability to explain decisions clearly

What We’re NOT Looking For:
--Agencies with large retainers
--Social media marketers
--“SEO-only” freelancers
--Beginners or general VA-type profiles

Project Details:
--Type: Project-based (with potential for follow-up work)
--Budget: Please include your proposed project-based pricing and timeline based on the scope above.
--Timeline: Ideally completed in 2–4 weeks

To Apply:

Please include:

1. A brief summary of your experience across Amazon, Walmart, eBay, and Shopify
2. 1–2 examples where you:
a. Diagnosed a struggling store or listings
b. Fixed the issues and improved performance
3. Your approach to auditing a multi-channel eCommerce business
4. The word “optimize” in the first sentence of your response so we know you read this

VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0008
Controller Execution Time ( Jobseekers / Job )  0.0379
Total Execution Time  0.0393
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,506,248 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/Multi-Channel-eCommerce-Specialist-Amazon-Walmart-eBay-Shopify-Audit-Fix-and-Systemize-1620799
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0289 seconds)  (Hide)
0.0004   SELECT *
                                
FROM exrates
                                WHERE rate_name 
'USD-PHP' 
0.0008   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1620799
 LIMIT 1 
0.0007   SELECT *
FROM `employers`
WHERE `employer_id` = 581043
 LIMIT 1 
0.0177   SELECT COUNT(DISTINCT t.id) as cnt
FROM 
`t_thread` `t`
INNER JOIN `t_message` `mON `t`.`id` = `m`.`thread_id`
INNER JOIN `t_message_employer` `eON `m`.`id` = `e`.`message_id`
LEFT JOIN `t_thread_misc` `miscON `t`.`id` = `misc`.`thread_id`
WHERE `t`.`job_id` = 1620799
AND `misc`.`idIS NULL 
0.0005   SELECT e.business_namee.logoe.websitee.rebill_datee.date_added member_datehitsDATEDIFF('2026-06-19',ej.date_added) duration_daysDATEDIFF('2026-06-19',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('2026-06-19',ej.date_added) <= 14 ))
                                   AND 
e.deactivate != AND ej.deleted AND job_id '1620799' 
0.0007   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1620799 
0.0010   UPDATE employer_jobs SET hit_counts '***Apr-10-2026=616***Apr-11-2026=28***Apr-12-2026=23***Apr-13-2026=33***Apr-14-2026=18***Apr-15-2026=9***Apr-16-2026=19***Apr-17-2026=12***Apr-18-2026=2***Apr-19-2026=2***Apr-20-2026=5***Apr-21-2026=12***Apr-22-2026=6***Apr-23-2026=6***Apr-24-2026=4***Apr-25-2026=4***Apr-26-2026=2***Apr-27-2026=2***Apr-28-2026=5***Apr-29-2026=1***Apr-30-2026=2***May-01-2026=2***May-03-2026=2***May-05-2026=2***May-06-2026=2***May-07-2026=1***May-08-2026=2***May-09-2026=2***May-12-2026=3***May-13-2026=4***May-14-2026=3***May-16-2026=6***May-17-2026=2***May-18-2026=1***May-19-2026=2***May-20-2026=2***May-21-2026=3***May-22-2026=1***May-24-2026=2***May-25-2026=3***May-26-2026=3***May-27-2026=2***May-28-2026=1***May-29-2026=1***May-30-2026=2***May-31-2026=1***Jun-01-2026=5***Jun-02-2026=10***Jun-03-2026=1***Jun-05-2026=1***Jun-07-2026=1***Jun-08-2026=1***Jun-09-2026=2***Jun-11-2026=2***Jun-12-2026=3***Jun-13-2026=1***Jun-19-2026=1' WHERE job_id'1620799'  
0.0006   UPDATE employer_jobs SET monthly_hits '***Apr-2026=810***May-2026=55***Jun-2026=28' WHERE job_id'1620799'  
0.0034   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id '' AND job_id '1620799' 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` = 1620799 
0.0022   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '581043'
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)