YouTube Analytics | Remote | Full-Time | $400/month

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

TYPE OF WORK

Full Time

SALARY

$400

HOURS PER WEEK

TBD

DATE UPDATED

Jul 10, 2026

JOB OVERVIEW

YouTube Analytics Specialist (Remote) — Channel Data, Reporting & Growth Insights

100% Remote

We're looking for a sharp, detail-loving YouTube Analytics Specialist to own the numbers behind our channel(s). If you get excited by CTR, average view duration, and retention graphs — and you can explain what they mean — you'll fit right in. Work from home, keep your own rhythm, and see the direct impact of your insights on real channel growth.
What You'll Do

Track and report on key YouTube metrics (views, watch time, CTR, retention, subscriber growth, traffic sources)
Build clear weekly/monthly performance reports and dashboards
Analyze video and thumbnail performance to spot what's working and what isn't
Research trending topics, keywords, and competitor channels
Give data-backed recommendations to improve titles, thumbnails, and content strategy
Monitor YouTube Studio and flag opportunities or issues early
Collaborate with the content and editing team on optimization

What We're Looking For

Experience working with YouTube Studio and channel analytics
Comfortable with spreadsheets (Google Sheets/Excel) and basic data reporting
Understanding of core YouTube metrics and what drives channel growth
Strong English communication — you can explain data simply
Reliable, self-managed, and deadline-driven
Bonus: experience with TubeBuddy, VidIQ, Google Analytics, or Looker Studio

Don't tick every box? If you know YouTube analytics and love learning, we still want to hear from you.

The Details
Fully remote — work from anywhere
Flexible schedule
Room to grow as our channel(s) scale
Supportive, collaborative team

How to Apply
Ready to make an impact? Apply through our Google Form here: ----------

In the form, tell us about a YouTube channel you've analyzed or grown, and one metric you'd focus on first if you joined us. We review every application — apply now, and be part of our team!

VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0021
Controller Execution Time ( Jobseekers / Job )  0.0222
Total Execution Time  0.0249
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,485,520 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/YouTube-Analytics-Remote-Full-Time-400month-1686737
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0151 seconds)  (Hide)
0.0009   SELECT *
                                
FROM exrates
                                WHERE rate_name 
'USD-PHP' 
0.0009   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1686737
 LIMIT 1 
0.0010   SELECT *
FROM `employers`
WHERE `employer_id` = 948210
 LIMIT 1 
0.0015   SELECT COUNT(*) AS `numrows`
FROM `t_thread` `t`
LEFT JOIN `t_thread_misc` `miscON `t`.`id` = `misc`.`thread_id`
WHERE `t`.`job_id` = 1686737
AND `misc`.`idIS NULL 
0.0011   SELECT e.business_namee.logoe.websitee.rebill_datee.date_added member_datehitsDATEDIFF('2026-07-15',ej.date_added) duration_daysDATEDIFF('2026-07-15',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('2026-07-15',ej.date_added) <= 14 ))
                                   AND 
e.deactivate != AND ej.deleted AND job_id '1686737' 
0.0009   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1686737 
0.0013   UPDATE employer_jobs SET hit_counts '***Jul-10-2026=126***Jul-11-2026=52***Jul-12-2026=2***Jul-15-2026=1' WHERE job_id'1686737'  
0.0012   UPDATE employer_jobs SET monthly_hits '***Jul-2026=181' WHERE job_id'1686737'  
0.0014   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id '' AND job_id '1686737' AND status LIKE 'sent%' ORDER BY id DESC  
0.0009   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1686737 
0.0025   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '948210'
AND `date_added` >= '2022-06-08' 
0.0009   select from teasers 
0.0008   SELECT FROM skill_categories WHERE skill_cat_id='' 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)