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Hospitality Data Analyst Jobs (NOW HIRING)

1 point system

Data Analyst

Miami, FL · On-site

Experience in cruise, casino, hospitality or a similar industry preferred * Expert-level ... analytics, automation, and scalable data solutions across the organization. * SAS, Essbase ...

Digipulse Technologies, Inc

Data Analyst

Smithfield, RI · On-site

... Hospitality, Telecommunication, Pharmaceutical & Banking sectors. About the Role The Purpose of ... The candidate must be proficient in data analysis, systems analysis or implementation analysis ...

Compass Group

DATA ANALYST-

Charlotte, NC · On-site

It starts with hiring people who share our passion for food and hospitality. Once we find the right ... The Data Analyst will work closely with finance, operations, and business stakeholders to support ...

SIEGEL GROUP NEVADA INC

Data Analyst

Las Vegas, NV

The Data Analyst is a hands-on role responsible for operating and improving all aspects of data ... Must have 3+ years of hands-on data experience in the Hospitality, Retail or F&B space. * Must be ...

1 point system

Lead Data Analyst

Miami, FL · On-site

Experience in cruise, casino, hospitality or a similar industry preferred * Strong proficiency in ... analytics, automation, and scalable data solutions across the organization. * SAS, Essbase ...

Donato Technologies, Inc

Lead Data Analyst

Miami, FL · On-site

Lead Data Analyst Location: Miami, Fl ( 4 days onsite) - Travel industry (not Carnival and not NCL ... Experience in cruise, casino, hospitality or a similar industry preferred * Strong proficiency in ...

Apex Informatics

Business Data Analyst

... Sabre SynXis Hospitality solution. It's APIs and warehouse data. - Experience working with ... RESPONSIBILITIES: • Support the Data product team in gathering, analyzing and organizing the data ...

Fintech

Distributor Data Analyst

Tampa, FL · Hybrid

The Distributor Data Analyst also partners with internal Fintech support teams to improve the ... hospitality, and alcohol industries. This integrated platform centralizes invoice data and payments ...

Fintech

Distributor Data Analyst

Tampa, FL · On-site

The Distributor Data Analyst also partners with internal Fintech support teams to improve the ... hospitality, and alcohol industries. This integrated platform centralizes invoice data and payments ...

ProSidian Consulting

Senior Data Analyst

Rockville, MD

$87K - $110K/yr

... care, Telecommunications, Hospitality, Pharmaceuticals, Banking & Financial Services ... ProSidian Seeks a Senior Data Analyst (Contract Contingent) in Rockville, MD to support an ...

PSG Global Solutions

Jr. Data Analyst

Naperville, IL

... industrial and hospitality markets. The company was founded in 1923 and has more than 40,000 ... North Highland has an immediate contract-to-hire opportunity for a Data Analyst to work on an IT ...

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All JobsHospitality Data Analyst Jobs

Hospitality Data Analyst information

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$34K

$82.6K

$136K

How much do hospitality data analyst jobs pay per year?

As of Jul 25, 2026, the average yearly pay for hospitality data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Hospitality Data Analyst vs Hotel Revenue Analyst?

AspectHospitality Data AnalystHotel Revenue Analyst
Required CredentialsBachelor's in Data Science, Hospitality, or related field; proficiency in data analysis toolsBachelor's in Finance, Economics, or Hospitality; strong analytical skills
Work EnvironmentHotels, resorts, hospitality companies, data-focused teamsHotels, resorts, revenue management departments
Employer & Industry UsageUsed across hospitality sectors for data insightsPrimarily in hotel industry for revenue optimization
Common Search & ComparisonYesYes

The Hospitality Data Analyst focuses on analyzing various data sources to improve overall hospitality operations, while the Hotel Revenue Analyst specializes in maximizing hotel revenue through pricing and inventory strategies. Both roles require strong analytical skills and familiarity with hospitality industry data, but their core objectives differ—one emphasizes broad data insights, the other revenue optimization.

What are the key skills and qualifications needed to thrive as a Hospitality Data Analyst, and why are they important?

To thrive as a Hospitality Data Analyst, you need strong analytical skills, proficiency in data interpretation, and typically a degree in statistics, mathematics, or a related field. Familiarity with data analytics tools such as Excel, SQL, Tableau, and property management systems is commonly required. Excellent communication, problem-solving skills, and an ability to work collaboratively with cross-functional teams help set top performers apart. These skills are essential for transforming complex data into actionable insights that drive strategic decision-making and improve guest experiences in the hospitality sector.

What does a Hospitality Data Analyst do?

A Hospitality Data Analyst collects, processes, and interprets data to help hotels, restaurants, and other hospitality businesses make informed decisions. They analyze trends in bookings, guest satisfaction, revenue, and operational efficiency to identify opportunities for improvement. Using tools like Excel, SQL, and data visualization software, they turn raw data into actionable insights that can enhance guest experiences and boost profitability. Their work supports management in strategic planning and helps drive business growth.

What are some typical challenges faced by Hospitality Data Analysts when integrating data from multiple sources?

Hospitality Data Analysts often work with data from various systems such as property management, point-of-sale, and customer feedback platforms. Integrating these datasets can be challenging due to differences in data formats, inconsistencies in reporting standards, and incomplete or duplicate records. Analysts must develop strong data cleaning and transformation skills and collaborate closely with IT and operations teams to ensure data accuracy and usability. Overcoming these challenges is essential for generating reliable insights that drive business decisions in the hospitality sector.
More about Hospitality Data Analyst jobs
What cities are hiring for Hospitality Data Analyst jobs? Cities with the most Hospitality Data Analyst job openings:
What states have the most Hospitality Data Analyst jobs? States with the most job openings for Hospitality Data Analyst jobs include:
What job categories do people searching Hospitality Data Analyst jobs look for? The top searched job categories for Hospitality Data Analyst jobs are:
Hospitality Data Analyst jobs near you
Infographic showing various Hospitality Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

Data Analyst

1 point system

Miami, FL • On-site

Contractor

Posted 15 hours ago

Job description

  • This role will collaborate with cross-functional teams to migrate and optimize data infrastructure and deliver actionable insights to executive leadership
  • This role will also develop new data objects and power BI reports when the new reservation system is rolled out
  • Experience in cruise, casino, hospitality or a similar industry preferred
  • Expert-level proficiency in SQL, Python, Power BI, VBA, and Alteryx is essential, as these tools are foundational to driving advanced analytics, automation, and scalable data solutions across the organization.
  • SAS, Essbase, Hyperion, and database management/administration (DBM/DBA) preferred
  • Lead the design, development, and deployment of machine learning models and advanced analytics to forecast revenue, optimize pricing, and improve inventory management
  • Develop Power BI Dashboards to replace all Hyperion queries.
  • Engineer and maintain robust data pipelines using modern ETL tools and cloud platforms (e.g., Azure, AWS, GCP) to support real-time and batch analytics.
  • Develop New Data Objects and Power BI dashboards to pull data from the new reservation system.