Google Business Profile (GMB) Optimization & Local SEO Specialist

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

TYPE OF WORK

Full Time

SALARY

300$ CAD/month

HOURS PER WEEK

40

DATE UPDATED

Aug 27, 2026

JOB OVERVIEW

Location: [Remote Job Type: [Full-Time / Part-Time / Contract] Salary: [$ / Hourly Rate]

About Us: At ClickTyphoon, we help dominate their local markets. We are a fast-growing marketing agency that believes in data-driven strategies and measurable ROI. We are looking for a hyper-focused Google Business Profile (GMB) Specialist who lives and breathes the Google Local Pack.

The Role: Are you obsessed with turning red tracking grids into green ones? Do you know the exact difference between a soft suspension and a hard suspension on Google?

As our Google Business Profile Optimization Specialist, you will be the owner of our clients' local search visibility. You won't just be filling out business descriptions; you will be executing advanced local SEO strategies to increase map pack impressions, direction requests, and organic phone calls.
Key Responsibilities:

GBP Setup & Optimization: Claim, verify, and fully optimize new and existing Google Business Profiles using SEO, GEO, and local best practices.
Profile Management & Posting: Maintain an active presence for clients by publishing high-quality weekly Google Posts, updating offers, uploading geo-tagged images, and managing Q&A sections.
Review Management: Monitor and professionally respond to customer reviews using brand-appropriate tone and keyword-rich templates where appropriate.
Local SEO & Citation Building: Ensure 100% NAP consistency across all tier-1 data aggregators and niche local directories.
Spam Fighting: Proactively monitor the local SERPs for competitor spam and successfully report them to Google to clear out the Map Pack.
Suspension Reinstatements: Handle GBP verification issues, video verifications, and submit reinstatement requests for suspended profiles.
Tracking & Reporting: Use tools like BrightLocal, Local Falcon, or GeoGrid tracking to analyze local ranking performance, foot traffic metrics, and call conversions, compiling these into monthly client reports.
Required Skills & Experience:

Experience: 2+ years of hands-on experience specifically managing Google Business Profiles and Local SEO campaigns.
Technical Knowledge: Deep understanding of Google's Local Search algorithm, proximity factors, and ranking signals.
Tool Proficiency: Experience using local SEO software such as BrightLocal, Whitespark, Local Falcon, Semrush, or Ahrefs.
Problem Solver: Proven experience successfully reinstating suspended GBP listings and dealing with Google Support.
On-Page Knowledge: Ability to audit and recommend changes to local landing pages on a client's website to better support their GBP rankings.
Organization: Highly organized with the ability to manage 20+ profiles simultaneously.

SKILL REQUIREMENT
VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0012
Controller Execution Time ( Jobseekers / Job )  0.0224
Total Execution Time  0.0245
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,509,936 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/Google-Business-Profile-GMB-Optimization-Local-SEO-Specialist-1718260
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0119 seconds)  (Hide)
0.0017   SELECT *
                                
FROM exrates
                                WHERE rate_name 
'USD-PHP' 
0.0004   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1718260
 LIMIT 1 
0.0005   SELECT *
FROM `employers`
WHERE `employer_id` = 698566
 LIMIT 1 
0.0016   SELECT COUNT(*) AS `numrows`
FROM `t_thread` `t`
LEFT JOIN `t_thread_misc` `miscON `t`.`id` = `misc`.`thread_id`
WHERE `t`.`job_id` = 1718260
AND `misc`.`idIS NULL 
0.0005   SELECT e.business_namee.logoe.websitee.rebill_datee.date_added member_datehitsDATEDIFF('2026-09-21',ej.date_added) duration_daysDATEDIFF('2026-09-21',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('2026-09-21',ej.date_added) <= 14 ))
                                   AND 
e.deactivate != AND ej.deleted AND job_id '1718260' 
0.0009   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1718260 
0.0022   UPDATE employer_jobs SET hit_counts '***Aug-27-2026=180***Aug-28-2026=68***Aug-29-2026=16***Aug-30-2026=25***Aug-31-2026=20***Sep-01-2026=9***Sep-02-2026=17***Sep-03-2026=10***Sep-04-2026=7***Sep-05-2026=4***Sep-06-2026=7***Sep-07-2026=5***Sep-08-2026=11***Sep-09-2026=17***Sep-10-2026=10***Sep-11-2026=37***Sep-12-2026=9***Sep-13-2026=2***Sep-14-2026=14***Sep-15-2026=27***Sep-16-2026=17***Sep-17-2026=11***Sep-18-2026=1***Sep-21-2026=2' WHERE job_id'1718260'  
0.0008   UPDATE employer_jobs SET monthly_hits '***Aug-2026=309***Sep-2026=217' WHERE job_id'1718260'  
0.0010   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id '' AND job_id '1718260' 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` = 1718260 
0.0007   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '698566'
AND `date_added` >= '2022-06-08' 
0.0009   select from teasers 
0.0003   SELECT FROM skill_categories WHERE skill_cat_id='' 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)