Job title: Amazon Wholesale FBA Research Virtual Assistant

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

TYPE OF WORK

Part Time

SALARY

4-7

HOURS PER WEEK

5

DATE UPDATED

Sep 26, 2026

JOB OVERVIEW

Amazon Wholesale FBA Research Virtual Assistant
Employment Type: Part-time, Contract
We are seeking highly detail-oriented virtual assistants specializing in Amazon wholesale product research and viability analysis. You must possess a strong internet connection; please provide a screenshot of a recent speed test with your application.
Top Skills Required:
Amazon Wholesale Research Tool Proficiency (Keepa required; Helium 10 or SmartScout a plus)
Margin & Viability Analysis (calculating profitability after wholesale cost, Amazon FBA fees, and prep center fees)
Accurate, Organized Reporting (Google Sheets, real-time daily updates)
IMPORTANT: Applicants without direct hands-on experience using Keepa for Amazon product/listing analysis will not be considered — please do not apply if this does not describe you.
About this role:
We source products through wholesale suppliers/distributors (not private label, not retail arbitrage). You will be given supplier price lists and your job is to evaluate each product/SKU for Amazon resale viability — checking price history, sales rank stability, number of competing sellers on the listing, and whether the product remains profitable after all associated fees.
Experience requirements:
Minimum of 2-3 Amazon stores/accounts supported in a wholesale or product viability research capacity
Experience with stores generating $10K–$50K/month in monthly sales (please state the monthly sales range of accounts you've worked on)
Marketplace experience: please answer directly — Have you personally researched products for the U.S. marketplace? Canada marketplace? Both? Neither? And how many sellers/accounts in each?
Required application answers (please answer each of these directly in your application — do not skip):
Describe your experience using Keepa to evaluate a wholesale product listing — what specific data points do you check (e.g., price history stability, sales rank trend, number of sellers/offers) and why?
Describe one product you personally evaluated from a supplier price list: what was the wholesale cost, the Amazon selling price, and how did you determine whether it was profitable after fees?
State your expected hourly rate.
Your day-to-day responsibilities will include:
Reviewing wholesale supplier price lists and checking each SKU against Amazon listing data
Verifying brand/listing eligibility (checking for gating restrictions) where needed
Calculating landed cost and margin (wholesale price + shipping to prep center + prep/FBA fees vs. Amazon sell price)
Flagging products with too many competing sellers or unstable pricing
Organizing and reporting findings in real-time using Google Sheets for daily reporting
Preferred working hours: 8 a.m. to 10 a.m. PST and 3 p.m. to 6 p.m. PST.
Shortlisted candidates will be asked to complete a brief paid test task before final selection.
As you are searching for products, please write the word banana in the subject of your application to demonstrate you've carefully reviewed the full details.
All product research, supplier information, and pricing data must remain strictly confidential.
Please send your application via email to ---------- with the subject line "Amazon Wholesale Research Assistant Application." Shortlisted candidates will be contacted via Telegram for next steps and ongoing daily communication.

VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0008
Controller Execution Time ( Jobseekers / Job )  0.0109
Total Execution Time  0.0122
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,493,752 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/Job-title-Amazon-Wholesale-FBA-Research-Virtual-Assistant-1738539
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0058 seconds)  (Hide)
0.0004   SELECT *
                                
FROM exrates
                                WHERE rate_name 
= 'USD-PHP' 
0.0003   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1738539
 LIMIT 1 
0.0008   SELECT *
FROM `employers`
WHERE `employer_id` = 1004729
 LIMIT 1 
0.0004   SELECT COUNT(*) AS `numrows`
FROM `t_thread` `t`
LEFT JOIN `t_thread_misc` `misc` ON `t`.`id` = `misc`.`thread_id`
WHERE `t`.`job_id` = 1738539
AND `misc`.`id` IS NULL 
0.0005   SELECT e.business_name, e.logo, e.website, e.rebill_date, e.date_added member_date, hits, DATEDIFF('2026-09-27',ej.date_added) duration_days, DATEDIFF('2026-09-27',e.rebill_date) duration_rebill, ej.*, e.deactivate FROM employers e, employer_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('2026-09-27',ej.date_added) <= 14 ))
                                   AND 
e.deactivate != 1 AND ej.deleted = 0 AND job_id = '1738539' 
0.0003   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `sc` ON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1738539 
0.0007   UPDATE employer_jobs SET hit_counts = '***Sep-26-2026=1464***Sep-27-2026=1' WHERE job_id= '1738539'  
0.0005   UPDATE employer_jobs SET monthly_hits = '***Sep-2026=1462' WHERE job_id= '1738539'  
0.0003   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id = '' AND job_id = '1738539' AND status LIKE 'sent%' ORDER BY id DESC  
0.0003   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `sc` ON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1738539 
0.0008   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '1004729'
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)