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Hospitality Data Analyst Jobs (NOW HIRING)

Data and Policy Analyst

Charlotte, NC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... care, Telecommunications, Hospitality, Pharmaceuticals, Banking & Financial Services ... The Data and Policy Analyst will manage and anlayze data, research and interpret policy and ...

Senior Finance Data Analyst

Schiller Park, IL · On-site

$85K - $106K/yr

The Senior Finance Data Analyst will partner closely with Finance, Sales, and Operations to ... Competency Group • Deliver World Class Service • Hospitality • Ownership • Do The Right ...

Director of Feasibility

Englewood, CO · On-site

$130K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Working command of hospitality data platforms (STR/CoStar and comparable sources) and the ability to interpret comp set data critically. * Proven ability to present complex analysis clearly to non ...

Director of Feasibility

Englewood, CO · On-site

$130K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Working command of hospitality data platforms (STR/CoStar and comparable sources) and the ability to interpret comp set data critically. * Proven ability to present complex analysis clearly to non ...

Director of Feasibility

Englewood, CO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Working command of hospitality data platforms (STR/CoStar and comparable sources) and the ability to interpret comp set data critically. * Proven ability to present complex analysis clearly to non ...

Analyst Database

Lemoore, CA · On-site

$28/hr

Compile all relevant information into a variable data file to be uploaded in our Email system, and ... College degree preferred. * 3 years working in Casino Operations or Hospitality Marketing preferred

Data Quality Analyst

Scottsdale, AZ · On-site

$100K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Reporting to the Sr. Director of Data & Analytics, the Data Quality Analyst will play a pivotal ... Experience in restaurant, retail, franchising, hospitality, or multi-location operations.

Showing results 41-60

Hospitality Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do hospitality data analyst jobs pay per year?

As of Aug 15, 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?

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:

Infographic showing various Hospitality Data Analyst job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 10% Part Time, and 10% Contract. Highlights an 90% In-person, and 10% Hybrid job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Product Analyst - Remote - USA

Lorven Technologies

Remote

Full-time

Re-posted 22 days ago


Job description

Role: Data Product Analyst
Location: Remote - USA
Target domain - Retail, CPG, Travel, Hospitality, Sports or gaming
Job description:
Overview
The Data Product Analyst serves as a critical bridge between business stakeholders, analytics teams, and data management groups. This role combines strong data analysis capabilities with core business analysis skills to ensure that data is effectively leveraged to inform strategic decision making, improve processes, and influence solution design. In addition to championing data stewardship, the Data Product Analyst plays a key role in eliciting requirements, documenting business processes, and facilitating alignment across technical and business teams.
Key Responsibilities:
  • Act as the Data Subject Matter Expert to stakeholders with an understanding of data across the end-to-end data supply chain
  • Collect, clean, and analyze data from multiple sources to uncover trends, patterns, and actionable insights.
  • Translate analytical findings into clear, business-friendly insights that support decision-making.
  • Elicit, document, and manage business, functional, and non-functional requirements through techniques such as interviews, workshops, process analysis, and user story creation.
  • Conduct stakeholder analysis to understand needs, roles, dependencies, and expectations across teams.
  • Support prioritization by assessing business value, impacts, complexity, and risk.
  • Ensure traceability of requirements from intake through development, testing, and deployment.
  • Collaborate with data engineering analysts, architects, and engineers to ensure solutions reflect business context and use cases.
  • Define testing acceptance criteria, support user validation, and provide structured feedback for continuous improvement.
  • Monitor and enhance data quality through profiling, validation, remediation, and alignment with organizational priorities.

Key Skills & Competencies
  • Skilled at requirements elicitation, process mapping, and translating business needs into technical specifications.
  • Skilled in crafting user stories, acceptance criteria, and high-quality product and data documentation to support scalable, repeatable workflows.
  • Strong understanding of data stewardship principles, including data quality, lineage, metadata management, and responsible data use and the ability to adapt analytical and stewardship skills across a wide range of NFL use cases.
  • Comfortable connecting data across multiple NFL systems and enriching datasets to enable new insights for football, fan, and business stakeholders.
  • Excellent communication, with the ability to tailor messages for both technical teams (engineering, data science) and business stakeholders (club personnel, league departments).
  • Champions a consumer-first mindset, consistently grounding product, data and insights decisions with a deep understanding of consumer behaviors and needs.
  • Collaborative mindset with the ability to influence without authority and drive alignment across cross-functional teams.
  • Skilled at navigating ambiguity, asking the right clarifying questions, and moving teams toward clarity and action.
  • Naturally curious, with a passion for exploring new data sources, uncovering insights, and improving data quality.
  • Strong critical thinking and structured problem-solving, especially when interpreting incomplete, messy, or evolving datasets.
  • Strong analytical toolkit leveraging SQL, Python, and data querying tools to explore, transform, and validate complex datasets that span across multiple product disciplines.
  • Working knowledge of data modeling, ETL/ELT pipelines, and cloud data platforms (e.g., Snowflake, Databricks, AWS) to support reliable data products.

Qualifications
  • Bachelor's degree in information systems, business analysis, or related fields.
  • 2-5 years of experience in data analysis, business analysis, product analytics, or similar roles.
  • Proven ability to work effectively in cross-functional environments and support the delivery of data products that serve multiple stakeholders.

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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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