Advanced Google Tag Manager (GTM) & GA4 Tracking Specialist (Cloudbeds Integration)

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

TYPE OF WORK

Gig

SALARY

Per hour not per month

HOURS PER WEEK

TBD

DATE UPDATED

Dec 3, 2025

JOB OVERVIEW

Advanced Google Tag Manager (GTM) & GA4 Tracking Specialist – Cloudbeds Integration (Gig Job)

We are looking for an experienced GTM / GA4 specialist (minimum 3 years) to complete an advanced tracking setup for a hotel booking system using Cloudbeds, GA4, GTM and Google Ads.
This is a one-time gig, but if the work is strong, we may offer ongoing tracking and technical support tasks in the future.

ABOUT THE TASK

You will set up a complete tracking framework so booking data flows correctly into GA4, GTM and Google Ads.

Tracking Requirements

Variables to be captured:

Transaction Value

Order ID

Hotel Name

Hotel ID

Check-in Date

Check-out Date

Room Type

Number of Nights

Trigger Events:

View Item Lists

Add to Cart / Remove from Cart

Purchase

Your responsibilities

Install and configure GA4 and GTM

Generate and correctly connect Google Ads tracking scripts

Implement all required triggers and parameters

Test the full booking flow end-to-end

Confirm all values and events pass correctly

Troubleshoot any issues in GTM, GA4 or Google Ads

REQUIRED EXPERIENCE

Minimum 3 years with:

Cloudbeds tracking integration (required)

Google Tag Manager (advanced level)

Google Analytics 4

Google Ads conversion tracking

E-commerce or booking platform tracking

Testing and debugging events

$10AUD per hour (NO FIXED OR LOCK IN CONTRACTS, GIG/CASUAL ONLY)

SKILL REQUIREMENT
VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0008
Controller Execution Time ( Jobseekers / Job )  0.0190
Total Execution Time  0.0203
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,493,064 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/Advanced-Google-Tag-Manager-GTM-GA4-Tracking-Specialist-Cloudbeds-Integration-1526987
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0136 seconds)  (Hide)
0.0003   SELECT *
                                
FROM exrates
                                WHERE rate_name 
'USD-PHP' 
0.0003   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1526987
 LIMIT 1 
0.0014   SELECT *
FROM `employers`
WHERE `employer_id` = 786881
 LIMIT 1 
0.0009   SELECT COUNT(*) AS `numrows`
FROM `t_thread` `t`
LEFT JOIN `t_thread_misc` `miscON `t`.`id` = `misc`.`thread_id`
WHERE `t`.`job_id` = 1526987
AND `misc`.`idIS NULL 
0.0005   SELECT e.business_namee.logoe.websitee.rebill_datee.date_added member_datehitsDATEDIFF('2026-04-17',ej.date_added) duration_daysDATEDIFF('2026-04-17',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('2026-04-17',ej.date_added) <= 14 ))
                                   AND 
e.deactivate != AND ej.deleted AND job_id '1526987' 
0.0008   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1526987 
0.0013   UPDATE employer_jobs SET hit_counts '***Dec-03-2025=22***Dec-04-2025=85***Dec-05-2025=3***Dec-06-2025=3***Dec-07-2025=2***Dec-08-2025=4***Dec-09-2025=2***Dec-10-2025=8***Dec-11-2025=5***Dec-13-2025=1***Dec-14-2025=2***Dec-15-2025=3***Dec-16-2025=2***Dec-17-2025=3***Dec-19-2025=3***Dec-20-2025=6***Dec-21-2025=1***Dec-22-2025=2***Dec-23-2025=1***Dec-27-2025=1***Dec-29-2025=1***Dec-30-2025=1***Jan-02-2026=1***Jan-03-2026=3***Jan-06-2026=2***Jan-07-2026=1***Jan-08-2026=1***Jan-09-2026=2***Jan-10-2026=1***Jan-12-2026=2***Jan-15-2026=1***Jan-16-2026=2***Jan-17-2026=4***Jan-18-2026=2***Jan-19-2026=3***Jan-20-2026=2***Jan-21-2026=2***Jan-23-2026=2***Jan-24-2026=2***Jan-25-2026=1***Jan-26-2026=1***Jan-27-2026=3***Jan-28-2026=4***Jan-29-2026=5***Jan-30-2026=4***Jan-31-2026=3***Feb-02-2026=5***Feb-03-2026=3***Feb-04-2026=2***Feb-06-2026=1***Feb-07-2026=1***Feb-08-2026=6***Feb-09-2026=1***Feb-10-2026=1***Feb-11-2026=2***Feb-12-2026=3***Feb-13-2026=1***Feb-14-2026=1***Feb-15-2026=1***Feb-16-2026=2***Feb-20-2026=1***Feb-21-2026=1***Feb-23-2026=1***Feb-24-2026=1***Mar-05-2026=1***Mar-08-2026=1***Mar-10-2026=1***Mar-14-2026=2***Mar-16-2026=1***Mar-17-2026=1***Mar-18-2026=1***Mar-19-2026=2***Mar-23-2026=2***Mar-27-2026=1***Mar-31-2026=2***Apr-02-2026=1***Apr-06-2026=2***Apr-07-2026=1***Apr-08-2026=1***Apr-09-2026=1***Apr-10-2026=1***Apr-13-2026=1***Apr-14-2026=1***Apr-15-2026=1***Apr-17-2026=1' WHERE job_id'1526987'  
0.0007   UPDATE employer_jobs SET monthly_hits '***Dec-2025=161***Jan-2026=54***Feb-2026=34***Mar-2026=15***Apr-2026=11' WHERE job_id'1526987'  
0.0008   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id '' AND job_id '1526987' 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` = 1526987 
0.0057   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '786881'
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)