Data Manager (Digital Marketing)

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

TYPE OF WORK

Any

SALARY

750.00 - 1000.00

HOURS PER WEEK

45

DATE UPDATED

Oct 9, 2026

JOB OVERVIEW

Job Title: Data Manager (Digital Marketing)
?Are you a systems-thinker who lives for clean data and seamless workflows? We are a fast-paced digital marketing agency looking for a high-level Data Manager to be the "glue" that holds our strategy and execution together.
?The ideal candidate isn't just an administrator—they are a technical architect who understands the "how" behind the data and the "who" behind the tasks.
?The Core Mission
?Your goal is to ensure our client campaigns run like a well-oiled machine. You will oversee project timelines, manage our tech stack, and ensure that every decision we make is backed by accurate, real-time data.
?Key Responsibilities
?Team Leadership: Keep the creative and account teams on track, meeting deadlines, and maintaining high quality-control standards.
?Systems Management: Own our GA4,GTM or Microsoft clarity ecosystem, including great understanding of the customer journey, CRM management, and funnel tracking.
?Data & Tracking: Oversee the implementation and auditing of Google Tag Manager (GTM) and Google Analytics 4 (GA4) to ensure conversion tracking is 100?curate.
?Performance Oversight: Monitor Facebook Ads Manager and Google Ads dashboards to identify operational bottlenecks or tracking discrepancies.
?Process Optimization: Constantly refine our internal SOPs to increase efficiency and team capacity.
?What We’re Looking For
?Technical Literacy: You understand the relationship between a Facebook Pixel, a GTM container, and GA4 events.
?Data-Driven Mindset: You don't just "check" data; you follow it to find trends, leaks in funnels, and opportunities for better ROI.
?Operational Grit: You are organized, assertive, and capable of holding team members accountable to project milestones.
?Industry Experience: Minimum 3+ years in a digital marketing agency environment.
?Why Join Us?
?Remote-first culture with a focus on results, not clock-watching.
?Opportunity to lead a talented team of specialists.
?Access to the latest marketing tech and a seat at the table for scaling the agency.
?How to Apply
?If you’re the person who sees a broken automation and can’t rest until it’s fixed, we want to talk to you. Please submit your resume along with a brief description of a complex data tracking or automation problem you solved using GA4,GTM or Microsoft clarity.

VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0010
Controller Execution Time ( Jobseekers / Job )  0.0258
Total Execution Time  0.0275
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,507,288 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/Data-Manager-Digital-Marketing-1546087
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0165 seconds)  (Hide)
0.0005   SELECT *
                                
FROM exrates
                                WHERE rate_name 
= 'USD-PHP' 
0.0006   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1546087
 LIMIT 1 
0.0010   SELECT *
FROM `employers`
WHERE `employer_id` = 889952
 LIMIT 1 
0.0017   SELECT COUNT(*) AS `numrows`
FROM `t_thread` `t`
LEFT JOIN `t_thread_misc` `misc` ON `t`.`id` = `misc`.`thread_id`
WHERE `t`.`job_id` = 1546087
AND `misc`.`id` IS NULL 
0.0008   SELECT e.business_name, e.logo, e.website, e.rebill_date, e.date_added member_date, hits, DATEDIFF('2026-10-17',ej.date_added) duration_days, DATEDIFF('2026-10-17',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('2026-10-17',ej.date_added) <= 14 ))
                                   AND 
e.deactivate != 1 AND ej.deleted = 0 AND job_id = '1546087' 
0.0013   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `sc` ON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1546087 
0.0020   UPDATE employer_jobs SET hit_counts = '***Jan-04-2026=1***Jan-06-2026=190***Jan-07-2026=28***Jan-08-2026=22***Jan-09-2026=11***Jan-10-2026=3***Jan-11-2026=2***Jan-12-2026=1***Jan-13-2026=2***Jan-14-2026=2***Jan-15-2026=4***Jan-16-2026=5***Jan-17-2026=4***Jan-18-2026=1***Jan-19-2026=3***Jan-20-2026=3***Jan-21-2026=1***Jan-22-2026=3***Jan-23-2026=2***Jan-24-2026=1***Jan-25-2026=2***Jan-26-2026=3***Jan-27-2026=1***Jan-28-2026=1***Jan-29-2026=1***Jan-30-2026=2***Jan-31-2026=3***Feb-02-2026=5***Feb-03-2026=5***Feb-04-2026=1***Feb-05-2026=1***Feb-06-2026=2***Feb-07-2026=1***Feb-08-2026=3***Feb-10-2026=2***Feb-11-2026=1***Feb-12-2026=1***Feb-15-2026=1***Feb-18-2026=1***Feb-19-2026=1***Feb-22-2026=1***Feb-24-2026=2***Feb-26-2026=5***Feb-27-2026=2***Mar-01-2026=1***Mar-02-2026=2***Mar-03-2026=1***Mar-04-2026=3***Mar-07-2026=1***Mar-08-2026=1***Mar-11-2026=2***Mar-15-2026=1***Mar-27-2026=2***Mar-29-2026=1***Apr-03-2026=1***Apr-07-2026=3***Apr-09-2026=2***Apr-10-2026=1***Apr-11-2026=2***Apr-18-2026=5***Apr-20-2026=2***Apr-21-2026=14***Apr-22-2026=1***Apr-26-2026=1***May-01-2026=1***May-07-2026=1***May-08-2026=1***May-21-2026=2***May-22-2026=1***May-29-2026=1***Jul-06-2026=1***Jul-21-2026=1***Aug-19-2026=1***Sep-02-2026=2***Sep-06-2026=1***Sep-14-2026=1***Sep-16-2026=1***Sep-24-2026=1***Oct-03-2026=1***Oct-07-2026=1***Oct-08-2026=1***Oct-09-2026=655***Oct-10-2026=25***Oct-11-2026=1***Oct-12-2026=3***Oct-17-2026=6' WHERE job_id= '1546087'  
0.0009   UPDATE employer_jobs SET monthly_hits = '***Jan-2026=302***Feb-2026=35***Mar-2026=15***Apr-2026=32***May-2026=7***Jul-2026=2***Aug-2026=1***Sep-2026=6***Oct-2026=692' WHERE job_id= '1546087'  
0.0020   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id = '' AND job_id = '1546087' AND status LIKE 'sent%' ORDER BY id DESC  
0.0009   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `sc` ON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1546087 
0.0039   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '889952'
AND `date_added` >= '2022-06-08' 
0.0004   select * from teasers 
0.0003   SELECT * FROM skill_categories WHERE skill_cat_id='' 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)