Amazon Listing Growth Specialist (DataDive Expert Required)

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

TYPE OF WORK

Full Time

WAGE / SALARY

$8

HOURS PER WEEK

40

DATE UPDATED

Jun 20, 2026

JOB OVERVIEW

If you are unable to provide references from actual brands in the USA with whom we can speak to discuss your previous performance, please do not apply for this job. You will be wasting your time and it will also tell us you have not read the description.

Requirements:

This job is for Pacific Standard Time - 8 AM - 430 PM with some OT expected during peak times.
Time doctor use is mandatory.
Growth Mindset and leadership approach.




We are looking for a senior Amazon listing operator who knows how to launch, rank, and scale products on Amazon — not just write copy. You live inside DataDive, Helium 10, and Brand Analytics, and you can read a niche the way most people read a book.

You will own the full lifecycle of our Amazon listings: from keyword research and competitive analysis on day one, through launch, ranking, and ongoing optimization. You will be responsible for the data-driven decisions that move our products up the page.

You are the person who answers every week:
• “Which keywords are we winning, losing, or missing?”
• “Why did this listing drop in rank?”
• “What is the next listing we should optimize, and why?”
• “Where is the next growth opportunity in this category?”

What You Will Own
Keyword Research & Competitive Analysis
• Run deep keyword research in DataDive (Cerebro-style reverse ASIN, competitor gap analysis, keyword opportunity scoring)
• Build keyword master lists segmented by priority, search volume, relevance, and competition
• Identify untapped long-tail and high-intent keywords competitors are missing
• Analyze competitor listings, reviews, pricing, and ranking patterns
• Map the competitive landscape for every product line
New Listing Launch
• Build SEO-optimized titles, bullets, descriptions, and backend search terms
• Write A+ Content briefs and Brand Story modules
• Coordinate image and infographic briefs with the design team
• Develop launch strategy: pricing, coupons, vine, PPC seeding, and ranking plan
• Set up parent/child variations correctly the first time
• Track launch performance against ranking and revenue targets

Ongoing Listing Optimization
• Audit existing listings for keyword gaps, indexing issues, and conversion leaks
• Run structured A/B tests on titles, main images, and copy using Manage Your Experiments
• Monitor keyword rank movements and respond to ranking drops fast
• Refresh listings based on seasonality, trends, and new competitor moves
• Improve conversion rate, session-to-purchase ratio, and click-through rate

Brand Analytics & Seller Central Intelligence
• Pull and interpret Search Query Performance, Top Search Terms, and Market Basket reports
• Identify share-of-voice gaps vs. top competitors in each category
• Track conversion share, click share, and purchase share by keyword
• Use Seller Central data to validate or challenge DataDive findings
• Flag listing health issues: suppressions, Buy Box loss, policy warnings, stranded inventory

Reporting & Dashboards

You will build and maintain:
• Weekly keyword rank tracker (organic and sponsored)
• Listing health scorecard by ASIN
• Competitor watchlist with movement alerts
• Launch performance reports vs. plan
• Optimization backlog with projected impact and priority

Who You Are

You are not a generalist Amazon VA. You are:
• A senior Amazon operator who has launched and scaled real products — not just edited listings
• A true DataDive power user (this is non-negotiable)
• Deeply analytical — you make decisions from data, not from gut feel
• Obsessive about keyword indexing, ranking, and conversion
• Comfortable reading Search Query Performance reports and explaining what they mean
• Up to date on Amazon algorithm changes, policy updates, and category trends
• A strong written communicator who can brief designers, copywriters, and leadership clearly
• Self-directed — you bring opportunities to the table, you don’t wait to be told

Required Experience
• 5+ years managing Amazon listings at a senior or lead level
• Proven track record of launching products and ranking them on page 1 for competitive keywords
• Expert-level proficiency in DataDive (required — we will test this)
• Strong working knowledge of Helium 10 (Cerebro, Magnet, Frankenstein, Index Checker)
• Hands-on experience with Brand Analytics and Seller Central reporting
• Experience writing high-converting Amazon copy and A+ Content briefs
• Experience running Manage Your Experiments (A/B tests) on titles and images
• Strong spreadsheet skills (pivots, lookups, basic modeling)
• Familiarity with Amazon Ads / PPC concepts (you don’t need to run campaigns, but you need to understand them)

What Success Looks Like (First 90 Days)
• Full keyword and competitor audit completed for every active ASIN
• Prioritized optimization backlog built and in motion
• At least one major listing relaunch with measurable rank and conversion lift
• Weekly reporting cadence established with leadership
• Clear launch playbook documented for future product releases

Why This Role Matters
Amazon is a zero-sum game. For every rank position we don’t own, a competitor does. The right person in this seat directly drives revenue — every keyword you win, every conversion point you add, and every launch you nail compounds over months and years.

How to Apply

Send your resume and a short note that includes:
• A specific example of a listing you launched or optimized, with the keyword(s) you targeted and the rank/revenue result
• How long you have used DataDive and what you use it for most
• One Amazon listing mistake you see most operators make — and how you avoid it

VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0008
Controller Execution Time ( Jobseekers / Job )  0.0310
Total Execution Time  0.0323
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,541,848 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/Amazon-Listing-Growth-Specialist-DataDive-Expert-Required-1660296
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0217 seconds)  (Hide)
0.0003   SELECT *
                                
FROM exrates
                                WHERE rate_name 
'USD-PHP' 
0.0003   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1660296
 LIMIT 1 
0.0003   SELECT *
FROM `employers`
WHERE `employer_id` = 837307
 LIMIT 1 
0.0111   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` = 1660296
AND `misc`.`idIS NULL 
0.0005   SELECT e.business_namee.logoe.websitee.rebill_datee.date_added member_datehitsDATEDIFF('2026-06-21',ej.date_added) duration_daysDATEDIFF('2026-06-21',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('2026-06-21',ej.date_added) <= 14 ))
                                   AND 
e.deactivate != AND ej.deleted AND job_id '1660296' 
0.0007   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1660296 
0.0017   UPDATE employer_jobs SET hit_counts '***Jun-02-2026=229***Jun-03-2026=73***Jun-04-2026=21***Jun-05-2026=18***Jun-06-2026=8***Jun-07-2026=5***Jun-08-2026=6***Jun-09-2026=7***Jun-10-2026=92***Jun-11-2026=73***Jun-12-2026=22***Jun-13-2026=15***Jun-14-2026=13***Jun-15-2026=13***Jun-16-2026=11***Jun-17-2026=4***Jun-18-2026=2***Jun-19-2026=4***Jun-20-2026=127***Jun-21-2026=1' WHERE job_id'1660296'  
0.0006   UPDATE employer_jobs SET monthly_hits '***Jun-2026=744' WHERE job_id'1660296'  
0.0013   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id '' AND job_id '1660296' 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` = 1660296 
0.0041   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '837307'
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)