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Data Analyst Hotels Jobs (NOW HIRING)

Omni Hotels & Resorts

Cloud Data Engineer

Dallas, TX · On-site

$55.25 - $73/hr

Omni Hotels is known for its exemplary culture, authenticity to the markets in which we operate ... Work with technical staff such as data analyst/scientist to assist in the design of their ...

Hyatt

BI Analyst - Hotel Performance Hub

Chicago, IL · On-site

Hyatt Hotels Corporation is seeking a Business Intelligence (BI) Analyst to join the Hotel Performance Hub, a team dedicated to transforming data into insights that enhance hotel performance. The ...

Raines Co.

Business and Investment Analyst

Florence, SC · On-site

The Investment Analyst will be responsible for supporting the full life cycle of hotel investment ... data, franchise agreements, management contracts, and title/survey materials. • Coordinate with ...

Raines Co.

Business and Investment Analyst

Florence, SC · On-site

The Investment Analyst will be responsible for supporting the full life cycle of hotel investment ... data, franchise agreements, management contracts, and title/survey materials. • Coordinate with ...

Raines Co.

Business and Investment Analyst

Florence, SC · On-site

The Investment Analyst will be responsible for supporting the full life cycle of hotel investment ... data, franchise agreements, management contracts, and title/survey materials. • Coordinate with ...

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Data Analyst Hotels information

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$34K

$82.6K

$136K

How much do data analyst hotels jobs pay per year?

As of Jul 25, 2026, the average yearly pay for data analyst hotels 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 does a Data Analyst do in the hotel industry?

A Data Analyst in the hotel industry collects, processes, and analyzes data related to hotel operations, guest behavior, and market trends. Their main goal is to help hotels make informed decisions that improve occupancy rates, revenue, and guest satisfaction. They work with large datasets, create reports and dashboards, and provide actionable insights to management. Data Analysts may also forecast demand, optimize pricing strategies, and identify opportunities to enhance the guest experience.

How does a Data Analyst in the hotel industry typically collaborate with other departments to improve business outcomes?

Data Analysts in the hotel sector work closely with departments such as marketing, revenue management, and operations to interpret guest data, occupancy trends, and booking patterns. They often provide actionable insights and reports that help these teams make informed decisions on pricing strategies, promotional campaigns, and service improvements. Regular meetings and cross-functional projects are common, ensuring that data-driven recommendations are aligned with overall business goals. Effective communication and teamwork are essential to translate analytical findings into practical initiatives that enhance guest experience and profitability.

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

To thrive as a Data Analyst in hotels, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in data science, statistics, or business. Familiarity with hotel property management systems, Excel, SQL, and data visualization tools like Tableau or Power BI is typically required. Attention to detail, communication skills, and problem-solving abilities help you interpret data and convey insights to hotel management teams. These skills enable data-driven decisions that optimize hotel operations, improve guest experiences, and drive revenue growth.

What is the difference between Data Analyst Hotels vs Data Scientist Hotels?

AspectData Analyst HotelsData Scientist Hotels
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master’s in Data Science, Computer Science, or related; often includes certifications in Python, R, machine learning
Work EnvironmentHotels, travel agencies, hospitality companies; focus on reporting and data managementHotels, hospitality industry; focus on predictive modeling and advanced analytics
Employer & Industry UsageCommonly employed in hotel chains, travel agencies, hospitality firmsUsed in similar settings but with a focus on developing models and algorithms

Data Analyst Hotels primarily handle data collection, reporting, and basic analysis to support hotel operations. Data Scientists in hotels develop predictive models and advanced analytics to optimize revenue and guest experience. While both roles require strong analytical skills, Data Scientists typically have more technical expertise in machine learning and programming.

More about Data Analyst Hotels jobs
What job categories do people searching Data Analyst Hotels jobs look for? The top searched job categories for Data Analyst Hotels jobs are:
Infographic showing various Data Analyst Hotels job openings in the United States as of July 2026, with employment types broken down into 65% Full Time, 4% Part Time, and 31% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Cloud Data Engineer

Cloud Data Engineer

Omni Hotels & Resorts

Dallas, TX • On-site

$55.25 - $73/hr

Full-time

Posted 3 days ago

Omni Hotels rating

6.8

Company rating: 6.8 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

39th of 108 rated hotels

Job description

Omni Corporate Offices
Omni Hotels and Resorts creates genuine, authentic guest experiences at over 50 distinctive luxury hotels and resorts in leading business gateways and leisure destinations across North America. Omni Hotels is known for its exemplary culture, authenticity to the markets in which we operate, innovation and exceptional service. Our commitment to career development has created tenure and loyalty that enables us to perpetuate our family atmosphere.
Overview:
Omni's Cloud Data Engineer specializing in Microsoft Fabric is responsible for designing, building, and managing end-to-end data pipelines within the unified Microsoft Fabric SaaS environment. They will focus on ingesting, transforming, and storing data in a Lakehouse or Warehouse architecture, ensuring high performance, data quality, and security using tools like Spark/Python Notebooks for API data sources, Fabric Pipeline.
Responsibilities:
  • Contribute to Omni's Modern data platform with Design and automate scalable ETL/ELT data pipelines using Microsoft Fabric Pipeline and Notebooks using the existing Dynamic metadata driven architecture. Participate in assessing source systems creating metadata mappings and write pipeline that will be used to support insights, analytics, reporting and future data products required to drive profitable growth for the business.
  • Collaborate with business leaders, subject matter experts, and decision-makers to develop scope of work, success criteria and create new data streams and optimize existing pipelines.
  • Work with different source systems storage models both in cloud and on premises to evaluate underlying schemas, datasets and produce pipeline rule engine.
  • Demonstrate a good understanding of data de-duping, data wrangling and data profiling using Python.
  • Scope and/or evaluating the scope of work for each subject area requirements.
  • Build data quality checks, automated testing, and monitoring into solution delivery
  • Use structured decision-making and following project timelines to complete projects
  • Dev and Prod environments to maintain, deploy and monitor metadata driven ETL Models in production
  • Design and maintain scalable data pipelines and "Medallion" architectures using PySpark, SQL, and Fabric Notebooks to transform raw data into analytics-ready star schemas and semantic models.
  • Optimize Spark jobs and SQL queries for peak capacity performance while implementing enterprise-grade security via RBAC, sensitivity labeling, and Microsoft Purview.
  • Drive advanced analytics through the integration of Knowledge Graphs, Ontology, and AI Agents using Fabric Data Agents or AI Foundry.
  • Work with technical staff such as data analyst/scientist to assist in the design of their deliverables
  • Collaborate with the offshore support of the system.

Qualifications:
  • Must have 4 Year bachelor's degree in Computer Science, Engineering, Statistics, or related field.
  • Preferred Five Year experience or 3 Year with Master's.
  • Must have worked with Azure cloud services for at least 2 years.
  • Must have worked with any of the RDBMS in the past with minimum two from DB2, Informix, SQL Server, MySQL, Oracle, Postgres, Maria DB.
  • Must have Python experience in data profiling and data manipulation against Database and API data sources.
  • Intermediate level of programming skills in Python and SQL, stored procedures. With 4-to-5-year Experience in Python, SQL, CI/CD and/or extensive use in the delivered projects.
  • Previous proven work with Fabric pipeline workflow or Azure ADF.
  • Experience with REST APIs, GraphQL APIs and gRPC API for data integration, web protocol as data delivery platform.
  • Knowledge of both Windows and Linux VM consoles with PowerShell and Linux Bash scripts.
  • Source Control Experience with GIT, SVN, Bitbucket or Azure DevOps.
  • Bonus point to have worked with data related to Hospitality Industry or Financial Industry for Revenue Management, Sales, and/or Digital Marketing
  • Bonus point if you have worked with LLMs and Ai Agent Workflow.

Omni Hotels & Resorts is an equal opportunity/AA/Disability/Veteran employer. The EEO is the Law poster is available using the following link:
EEOC is the Law Poster.
Omni Hotels & Resorts does not discriminate on the basis of any protected category with respect to the payment of wages.
If you are interested in applying for employment with Omni Hotels & Resorts and need special assistance to apply for a posted position, please send an email to: applicationassistance@omnihotels.com.

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