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Hospitality Analytics Jobs (NOW HIRING)

Revenue Analytics

Data Scientist

Atlanta, GA · On-site

$95 - $110/hr

In Hospitality, we are building products that help redefine what modern revenue management looks like -- turning advanced analytics into practical product capability for hotel operators navigating ...

Revenue Analytics

Data Scientist

Atlanta, GA · Remote

$95K - $110K/yr

In Hospitality, we are building products that help redefine what modern revenue management looks like -- turning advanced analytics into practical product capability for hotel operators navigating ...

Revenue Analytics

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

In Hospitality, we are building products that help redefine what modern revenue management looks like - turning advanced analytics into practical product capability for hotel operators navigating ...

Revenue Analytics

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

In Hospitality, we are building products that help redefine what modern revenue management looks like - turning advanced analytics into practical product capability for hotel operators navigating ...

DayBlink GPO LLC

Hospitality Analyst

Mclean, VA · Hybrid

Analyst Our company is looking for a talented Analyst to join our dynamic hospitality team. You will perform a range of duties including negotiating contract terms, preparing contracts, evaluating ...

DayBlink GPO LLC

Hospitality Analyst

Mclean, VA · On-site +1

Analyst Our company is looking for a talented Analyst to join our dynamic hospitality team. You will perform a range of duties including negotiating contract terms, preparing contracts, evaluating ...

Better Talent

Revenue Growth Strategist

Encinitas, CA · Remote

$70K - $135K/yr

Background in economics, data analytics, business, or hospitality Compensation, Benefits & More Compensation: $70,000 - 135,000 annually with opportunity for bonus based on performance Job Type ...

United States Olympic & Paralympic Committee

WV · On-site

$140 - $160/hr

Drive cross-functional coordination among fundraising, stewardship, annual giving, hospitality, analytics, and operations teams. * Promote best practices in project management, organizational ...

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Hospitality Analytics information

See salary details

$64.5K

$125.3K

$179K

How much do hospitality analytics jobs pay per year?

As of Aug 17, 2026, the average yearly pay for hospitality analytics in the United States is $125,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $149,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in hospitality analytics?

To thrive in Hospitality Analytics, you need strong analytical skills, proficiency in data interpretation, and a background in hospitality management or a related field. Familiarity with business intelligence tools such as Tableau, SQL, and property management systems (PMS) is typically required, along with certifications in analytics or revenue management. Excellent communication, problem-solving, and collaboration skills help translate data insights into actionable business strategies. These skills and qualities are essential for optimizing operations, increasing revenue, and driving guest satisfaction in a competitive industry.

What is the difference between Hospitality Analytics vs Hospitality Data Analyst?

AspectHospitality AnalyticsHospitality Data Analyst
Required CredentialsDegree in Hospitality, Data Science, or related fields; knowledge of analytics toolsDegree in Hospitality, Data Science, or related fields; proficiency in data analysis software
Work EnvironmentHotels, resorts, and hospitality companies focusing on strategic insightsHotels, restaurants, and hospitality firms analyzing operational data
Employer & Industry UsageUsed for strategic decision-making and business growthUsed for operational improvements and reporting

Hospitality Analytics focuses on deriving strategic insights from data to improve overall business performance, while Hospitality Data Analysts primarily handle data collection, analysis, and reporting to support operational decisions. Both roles require similar skills and often overlap, but Hospitality Analytics tends to have a broader strategic scope.

What are some common challenges faced in a hospitality analytics role, and how can they be addressed?

Professionals in Hospitality Analytics often encounter challenges related to integrating data from diverse sources such as property management systems, customer feedback platforms, and financial databases. Ensuring data accuracy and consistency is crucial, as discrepancies can impact decision-making. Collaborating closely with operations, marketing, and IT teams helps streamline data collection and interpretation. Proactively communicating insights and providing actionable recommendations can bridge the gap between analytics and on-the-ground hospitality operations.

What is hospitality analytics?

Hospitality analytics involves the collection, analysis, and interpretation of data to help businesses in the hospitality industry, such as hotels and restaurants, make informed decisions. It focuses on understanding customer behavior, improving operational efficiency, and maximizing revenue through data-driven insights. By utilizing tools like business intelligence platforms and predictive analytics, hospitality professionals can optimize pricing, enhance guest experiences, and identify market trends. This approach ultimately helps organizations stay competitive and responsive to changing market demands.
More about Hospitality Analytics jobs

What cities are hiring for Hospitality Analytics jobs?

Cities with the most Hospitality Analytics job openings:

What states have the most Hospitality Analytics jobs?

States with the most job openings for Hospitality Analytics jobs include:

What job categories do people searching Hospitality Analytics jobs look for?

The top searched job categories for Hospitality Analytics jobs are:

Hospitality Analytics jobs near you
Infographic showing various Hospitality Analytics job openings in the United States as of August 2026, with employment types broken down into 72% Full Time, 27% Part Time, and 1% Temporary. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $125,326 per year, or $60.3 per hour.

Data Scientist

Revenue Analytics

Atlanta, GA • On-site

$95 - $110/hr

Other

Re-posted 23 days ago

Job description

Data Scientist

Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and help customers move faster with more confidence.

Founded in 2005, we combine deep expertise in pricing and revenue management with modern software, machine learning, and AI to power complex commercial decisions. In Hospitality, we are building products that help redefine what modern revenue management looks like — turning advanced analytics into practical product capability for hotel operators navigating pricing, demand, and competitive complexity.

This Data Scientist position represents a unique opportunity to join a growth-stage company that is investing aggressively in the future of hospitality revenue management. We are looking for someone excited by that opportunity and motivated to help build real product capability, not just one-off analysis.

As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast-moving domain, partnering closely with product, science, and engineering to turn ambiguous questions into rigorous analytical solutions. Your work will directly influence product direction and help hospitality customers make better, faster, more data-driven decisions.

What You Will Do:
  • Build machine learning and AI solutions that support pricing, forecasting, and revenue management decisions in hospitality.
  • Analyze large, sometimes messy datasets to identify patterns, risks, and opportunities, and turn them into practical recommendations or product capability.
  • Write clean Python and SQL, working with data pipelines and analytical workflows to prepare, validate, and operationalize data.
  • Apply modern AI techniques, including LLMs and AI coding tools such as Claude Code, thoughtfully to accelerate prototyping, learning, and development while maintaining technical quality.
  • Partner closely with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights clearly.
What You Will Bring:
  • 0–2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.
  • Bachelor’s or Master’s degree in statistics, mathematics, operations research, computer science, engineering, or another quantitative field.
  • Hands‑on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows.
  • Ability to structure ambiguous problems, choose sensible analytical approaches, and explain trade‑offs, limitations, and recommendations clearly.
  • Strong curiosity, ownership, and learning agility, with interest in hospitality, travel, pricing, forecasting, or other business problems where analytics can directly influence outcomes.
Preferred Qualifications:
  • Experience with revenue management, pricing, forecasting, segmentation, or related analytical problem spaces.
  • Experience building something reusable or scalable, such as a data pipeline, internal tool, model workflow, or decision‑support analysis.
  • Familiarity with cloud platforms, business intelligence tools, or modern AI tooling in technical workflows.

$95,000 - $110,000 a year

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