STR Revenue & Pricing Analyst (Wheelhouse Specialist)

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

TYPE OF WORK

Part Time

SALARY

5 to 7 per hour

HOURS PER WEEK

5

DATE UPDATED

Mar 10, 2026

JOB OVERVIEW

We manage short-term rental properties (Airbnb / VRBO) in the United States. We are looking for a smart and analytical Virtual Assistant from the Philippines who can help manage our pricing strategy using Wheelhouse software.

Your goal is to help increase revenue by adjusting nightly prices based on data, demand, and market trends.

This is a part-time position (5 hours per week).

This role is best for someone who is excellent with numbers, math, and data analysis.

Key Responsibilities
Manage Pricing in Wheelhouse

You will log into Wheelhouse and:

• Review nightly prices for each property
• Adjust minimum and maximum prices
• Adjust weekend vs weekday pricing
• Adjust prices for high-demand events

Market Analysis

• Review competitor pricing
• Monitor booking demand in the market
• Identify dates that are underpriced
• Identify dates that should be priced higher

Revenue Optimization

Your goal is to help us:

• Increase nightly rates when demand is high
• Fill empty nights when demand is low
• Improve total revenue across all properties

Weekly Reporting

Each week you will provide a short report including:

• Pricing changes made
• Demand trends you noticed
• Opportunities to increase revenue

Required Skills

You must have strong analytical ability.

Preferred education:

• Finance
• Economics
• Mathematics
• Statistics
• Data Analytics
• Business Analytics

Required Experience

You must have experience with short-term rental pricing tools, such as:

• Wheelhouse
• PriceLabs
• Beyond Pricing

Experience managing pricing for Airbnb listings is strongly preferred.

Technical Skills

You should be comfortable with:

• Excel or Google Sheets
• Data analysis
• Working with dashboards
• Reading pricing and occupancy trends

Important Personal Traits

We are looking for someone who is:

• Very strong in math and numbers
• Analytical and detail-oriented
• Comfortable working with data
• Curious about improving revenue
• Reliable and organized

Work Hours

Approximately 5 hours per week.

Flexible schedule.

Compensation

Pay will depend on experience.

Expected range: $4 to $8 per hour.

To Apply

Please answer the following questions:

Do you have experience with Wheelhouse, PriceLabs, or Beyond Pricing?

How many Airbnb or short-term rental listings have you managed pricing for?

What is your college degree?

Why do you think you would be good at revenue pricing?

VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0008
Controller Execution Time ( Jobseekers / Job )  0.0183
Total Execution Time  0.0196
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,506,672 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/STR-Revenue-Pricing-Analyst-Wheelhouse-Specialist-1598607
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0129 seconds)  (Hide)
0.0003   SELECT *
                                
FROM exrates
                                WHERE rate_name 
'USD-PHP' 
0.0004   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1598607
 LIMIT 1 
0.0013   SELECT *
FROM `employers`
WHERE `employer_id` = 416477
 LIMIT 1 
0.0013   SELECT COUNT(*) AS `numrows`
FROM `t_thread` `t`
LEFT JOIN `t_thread_misc` `miscON `t`.`id` = `misc`.`thread_id`
WHERE `t`.`job_id` = 1598607
AND `misc`.`idIS NULL 
0.0004   SELECT e.business_namee.logoe.websitee.rebill_datee.date_added member_datehitsDATEDIFF('2026-04-16',ej.date_added) duration_daysDATEDIFF('2026-04-16',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('2026-04-16',ej.date_added) <= 14 ))
                                   AND 
e.deactivate != AND ej.deleted AND job_id '1598607' 
0.0003   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1598607 
0.0008   UPDATE employer_jobs SET hit_counts '***Mar-10-2026=93***Mar-11-2026=149***Mar-12-2026=68***Mar-13-2026=27***Mar-14-2026=11***Mar-15-2026=7***Mar-16-2026=8***Mar-17-2026=15***Mar-18-2026=7***Mar-19-2026=7***Mar-20-2026=10***Mar-21-2026=2***Mar-22-2026=7***Mar-23-2026=3***Mar-24-2026=3***Mar-25-2026=4***Mar-26-2026=2***Mar-28-2026=1***Mar-29-2026=2***Mar-30-2026=7***Mar-31-2026=4***Apr-01-2026=8***Apr-02-2026=5***Apr-03-2026=2***Apr-04-2026=3***Apr-06-2026=3***Apr-07-2026=14***Apr-08-2026=2***Apr-09-2026=1***Apr-10-2026=5***Apr-11-2026=2***Apr-13-2026=1***Apr-16-2026=1' WHERE job_id'1598607'  
0.0006   UPDATE employer_jobs SET monthly_hits '***Mar-2026=437***Apr-2026=47' WHERE job_id'1598607'  
0.0009   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id '' AND job_id '1598607' 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` = 1598607 
0.0057   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '416477'
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)