One-Time Gig: Excel/Google Sheets Setup for Airbnb Property Analysis

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

TYPE OF WORK

Gig

SALARY

15$ gig

HOURS PER WEEK

TBD

DATE UPDATED

May 14, 2026

JOB OVERVIEW

I am looking for someone for a small ONE-SHOT GIG: build from
scratch a Google Sheet to track daily operations for an Airbnb
property.

Fast, well-defined work. If the result is high quality, there
will be the possibility of working together on similar projects
in the future.

IMPORTANT: To prove you read this post carefully, please start
your application with the word "LOVERE" - applications without
this word will be ignored.

----------------------------------------

WHAT YOU WILL DO

Build from scratch a Google Sheet for daily operational tracking
of one Airbnb property. The sheet must include:

- Check-in / check-out calendar (dates, guest name, number of
nights, number of guests)
- Cleaning status (to do / in progress / done, who did it, cost)
- Linen status (changed, in laundry, back in property)
- Guest communication tracking (welcome message sent, instructions
sent, review requested)
- Daily operational expenses (cleaning, linen, consumables, repairs)
- Special notes per day (specific requests, problems, maintenance)
- A small dashboard with monthly totals: nights occupied, total
expenses, occupancy rate

The sheet must be:
- Clean and well-formatted
- Easy to fill in every day (drop-down menus, conditionals,
automatic dates)
- With working formulas for calculations (totals, percentages,
occupancy)
- Designed to be used long-term

----------------------------------------

TIMELINE

- Delivery required within 5 days from the start of the gig
- Minor revisions are included

If the work is high quality, similar gigs for other properties
may follow in the future.

----------------------------------------

WHO I'M LOOKING FOR

MUST HAVE:

- Strong knowledge of Google Sheets (formulas, conditionals,
drop-downs, formatting)
- Experience building operational templates from scratch
- Ability to organize data in a clear and usable way
- Good written English
- Reliability on delivery deadline

NICE TO HAVE:

- Experience with operational management of Airbnb / STR
(short-term rentals)
- Knowledge of STR metrics (occupancy rate, ADR, RevPAR)
- Knowledge of PriceLabs or similar pricing tools

----------------------------------------

HOW TO APPLY

Please send a message including:

1. The word LOVERE at the beginning
2. A short introduction about yourself (2-3 sentences)
3. 1-2 examples of Google Sheets you have built in the past
(link, screenshot, or file)
4. Do you have experience with Airbnb / short-term rentals?
If yes, briefly tell me about it

I will reply to the selected candidate within 3 days with the
complete brief and the specific examples I want in the sheet.

Good luck!

VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0007
Controller Execution Time ( Jobseekers / Job )  0.0221
Total Execution Time  0.0235
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,502,440 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/One-Time-Gig-ExcelGoogle-Sheets-Setup-for-Airbnb-Property-Analysis-1646529
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0146 seconds)  (Hide)
0.0009   SELECT *
                                
FROM exrates
                                WHERE rate_name 
'USD-PHP' 
0.0010   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1646529
 LIMIT 1 
0.0009   SELECT *
FROM `employers`
WHERE `employer_id` = 878283
 LIMIT 1 
0.0025   SELECT COUNT(*) AS `numrows`
FROM `t_thread` `t`
LEFT JOIN `t_thread_misc` `miscON `t`.`id` = `misc`.`thread_id`
WHERE `t`.`job_id` = 1646529
AND `misc`.`idIS NULL 
0.0011   SELECT e.business_namee.logoe.websitee.rebill_datee.date_added member_datehitsDATEDIFF('2026-07-17',ej.date_added) duration_daysDATEDIFF('2026-07-17',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('2026-07-17',ej.date_added) <= 14 ))
                                   AND 
e.deactivate != AND ej.deleted AND job_id '1646529' 
0.0009   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1646529 
0.0015   UPDATE employer_jobs SET hit_counts '***May-14-2026=770***May-15-2026=80***May-16-2026=35***May-17-2026=26***May-18-2026=23***May-19-2026=16***May-20-2026=23***May-21-2026=18***May-22-2026=18***May-23-2026=15***May-24-2026=12***May-25-2026=14***May-26-2026=5***May-27-2026=8***May-28-2026=5***May-29-2026=5***May-30-2026=4***May-31-2026=6***Jun-01-2026=3***Jun-02-2026=7***Jun-03-2026=8***Jun-04-2026=14***Jun-05-2026=8***Jun-06-2026=2***Jun-07-2026=5***Jun-08-2026=6***Jun-09-2026=8***Jun-10-2026=3***Jun-11-2026=8***Jun-12-2026=7***Jun-13-2026=2***Jun-14-2026=3***Jun-15-2026=2***Jun-16-2026=5***Jun-17-2026=1***Jun-19-2026=1***Jun-20-2026=6***Jun-21-2026=5***Jun-22-2026=3***Jun-23-2026=90***Jun-24-2026=2***Jun-25-2026=5***Jun-26-2026=3***Jun-28-2026=4***Jun-29-2026=2***Jun-30-2026=1***Jul-01-2026=15***Jul-02-2026=1***Jul-03-2026=4***Jul-04-2026=3***Jul-05-2026=5***Jul-06-2026=5***Jul-07-2026=2***Jul-08-2026=5***Jul-09-2026=1***Jul-10-2026=1***Jul-11-2026=4***Jul-17-2026=1' WHERE job_id'1646529'  
0.0012   UPDATE employer_jobs SET monthly_hits '***May-2026=1083***Jun-2026=214***Jul-2026=47' WHERE job_id'1646529'  
0.0009   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id '' AND job_id '1646529' 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` = 1646529 
0.0010   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '878283'
AND `date_added` >= '2022-06-08' 
0.0009   select from teasers 
0.0009   SELECT FROM skill_categories WHERE skill_cat_id='' 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)