[CANADA] Amazon FBA Product Research Virtual Assistant (OA & WS)

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

TYPE OF WORK

Full Time

SALARY

400$/month

HOURS PER WEEK

40

DATE UPDATED

Sep 27, 2026

JOB OVERVIEW

We’re looking for a highly experienced Amazon FBA Product Sourcer with a proven track record in Online Arbitrage (OA) and Wholesale sourcing.

Your responsibilities will include:

Daily product research and analysis using tools like SellerAmp, Keepa, and Helium10

Identifying profitable products with strong ROI and sales velocity

Sourcing from U.S. and Canadian websites and wholesalers

Providing detailed spreadsheets with buy cost, sell price, ROI, and Keepa charts

Staying up to date with Amazon marketplace trends in both the USA and Canada

What we’re looking for:

At least 2+ years of sourcing experience for Amazon FBA (OA/WS)

Strong understanding of Keepa charts, Buy Box rotation, and sourcing filters

Experience sourcing for Canada is a huge advantage

Self-driven, detail-oriented, and consistent with hitting daily sourcing goals

VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0007
Controller Execution Time ( Jobseekers / Job )  0.0120
Total Execution Time  0.0133
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,484,168 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/CANADA-Amazon-FBA-Product-Research-Virtual-Assistant-OA-WS-1739127
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0059 seconds)  (Hide)
0.0004   SELECT *
                                
FROM exrates
                                WHERE rate_name 
= 'USD-PHP' 
0.0005   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1739127
 LIMIT 1 
0.0004   SELECT *
FROM `employers`
WHERE `employer_id` = 1005137
 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` = 1739127
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('2026-10-04',ej.date_added) duration_days, DATEDIFF('2026-10-04',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('2026-10-04',ej.date_added) <= 14 ))
                                   AND 
e.deactivate != 1 AND ej.deleted = 0 AND job_id = '1739127' 
0.0003   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `sc` ON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1739127 
0.0009   UPDATE employer_jobs SET hit_counts = '***Sep-27-2026=740***Sep-28-2026=280***Sep-29-2026=59***Sep-30-2026=51***Oct-01-2026=24***Oct-02-2026=23***Oct-03-2026=17***Oct-04-2026=2' WHERE job_id= '1739127'  
0.0007   UPDATE employer_jobs SET monthly_hits = '***Sep-2026=1129***Oct-2026=66' WHERE job_id= '1739127'  
0.0003   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id = '' AND job_id = '1739127' AND status LIKE 'sent%' ORDER BY id DESC  
0.0004   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `sc` ON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1739127 
0.0003   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '1005137'
AND `date_added` >= '2022-06-08' 
0.0005   select * from teasers 
0.0004   SELECT * FROM skill_categories WHERE skill_cat_id='' 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)