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Travel Data Analytics Jobs (NOW HIRING)

Highspring

Senior Consultant - Data & Analytics

Mclean, VA

$86K - $109K/yr

Flexibility for travel, as needed Preferably, You Will Have: * Experience designing data architectures and analytics solutions in cloud-native environments * Familiarity with modern data engineering ...

Travel Nurse Across America

Manager Ops Data Analytics

$75K - $85K/yr

Manager, Ops Data Analytics and Reporting Remote | Full-Time | Exempt Role Summary: The Manager, Ops Data Analytics and Reporting develops, implements, and oversees data analysis, visualizations ...

AmaWaterways, LLC

Data Analytics Engineer

Calabasas, CA · On-site

$90K - $100K/yr

... invite travelers to follow their own current. Built on a foundation of heartfelt hospitality, we ... Role Summary AmaWaterways is hiring a Data Analytics Engineer to own the analytics layer of our ...

Loopback Analytics

Data Analyst

Dallas, TX · Remote

... your analytics efforts, engaging with QA and Delivery teams to satisfy client needs Travel ... About Loopback Loopback is a healthcare data company dedicated to improving access and outcomes for ...

Artemis Arc

Project Manager - Data Analytics Lead

The Data Analytics Lead works closely with Government leadership, operational teams, and ... However, travel for occasional in-person meetings will be required. Minimum Qualifications * 10 ...

Highspring

Senior Consultant - Data & Analytics

Mclean, VA · On-site

$76K - $122K/yr

Flexibility for travel, as needed Preferably, You Will Have: * Experience designing data architectures and analytics solutions in cloud-native environments * Familiarity with modern data engineering ...

Artemis Arc

The Data Analytics Lead works closely with Government leadership, operational teams, and ... However, travel for occasional in-person meetings will be required. Minimum Qualifications * 10 ...

KEEN Footwear

Sr. Director, Data & Analytics

Portland, OR · On-site

$217K - $229K/yr

It defines how data and analytics create competitive advantage across merchandising, DTC, wholesale ... Travel Required: Yes, 5% of the time. Base Salary: $217,600.00 - $229,615.00 This range represents ...

Rivian

Durability Data Analytics Engineer

Irvine, CA

$96K - $120K/yr

Develop fleet data analyses mapping travel, driving, road infrastructure, and vehicle usage across the US and other markets. Build classification models to identify usage archetypes, usage frequency ...

KEEN Footwear

Sr. Director, Data & Analytics

Portland, OR

$217K - $229K/yr

It defines how data and analytics create competitive advantage across merchandising, DTC, wholesale ... Travel Required: Yes, 5% of the time. Base Salary: $217,600.00 - $229,615.00 This range represents ...

Rivian

Durability Data Analytics Engineer

Irvine, CA · On-site

$96K - $120K/yr

Develop fleet data analyses mapping travel, driving, road infrastructure, and vehicle usage across the US and other markets. Build classification models to identify usage archetypes, usage frequency ...

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Travel Data Analytics information

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$24

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How much do travel data analytics jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for travel data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What is travel data analytics?

Travel data analytics refers to the process of collecting, processing, and analyzing data related to the travel industry, such as flight bookings, hotel reservations, customer preferences, and travel trends. Professionals in this field use statistical and analytical methods to uncover insights that can help travel companies optimize operations, improve customer experiences, and increase profitability. By leveraging large datasets, they can identify emerging patterns, forecast demand, and make data-driven decisions to stay competitive in the market.

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

AspectTravel Data AnalyticsTravel Data Analyst
Required CredentialsBachelor's degree in Data Science, Analytics, or related field; proficiency in data toolsBachelor's degree in related field; basic data analysis skills
Work EnvironmentData teams, travel companies, analytics departmentsTravel agencies, tour operators, hospitality firms
Employer & Industry UsageUsed for strategic insights, forecasting, and decision-makingUsed for reporting, data interpretation, and operational support

Travel Data Analytics involves analyzing large datasets to generate strategic insights, often requiring advanced skills and tools. In contrast, a Travel Data Analyst focuses on interpreting data for operational purposes, typically with less emphasis on complex analytics. Both roles are essential in the travel industry but differ in scope and technical depth.

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

To thrive as a Travel Data Analyst, you need strong analytical abilities, proficiency in statistics, and a background in data analysis or a related field. Familiarity with data visualization tools like Tableau or Power BI, SQL databases, and potentially certifications in analytics or data science are typical requirements. Excellent problem-solving, communication, and attention to detail help you interpret trends and present actionable insights to stakeholders. These skills are crucial for optimizing travel operations, enhancing customer experiences, and driving data-informed decisions in the travel industry.

What are some common challenges faced in a Travel Data Analytics role, and how can they be addressed?

Professionals in Travel Data Analytics often encounter challenges such as integrating data from multiple sources (e.g., booking engines, customer reviews, and global distribution systems) and ensuring data quality and consistency. Addressing these challenges requires strong data management skills, familiarity with ETL (Extract, Transform, Load) processes, and effective communication with IT and business teams to clarify requirements. Staying updated with industry-specific analytics tools and trends also helps in transforming complex datasets into actionable insights for travel businesses.
More about Travel Data Analytics jobs
What cities are hiring for Travel Data Analytics jobs? Cities with the most Travel Data Analytics job openings:
What states have the most Travel Data Analytics jobs? States with the most job openings for Travel Data Analytics jobs include:
What job categories do people searching Travel Data Analytics jobs look for? The top searched job categories for Travel Data Analytics jobs are:
Travel Data Analytics jobs near you
Infographic showing various Travel Data Analytics job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 67% Full Time, 9% Part Time, and 23% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Senior Consultant - Data & Analytics

Highspring

Mclean, VA

$86K - $109K/yr

Other

Posted 12 days ago

Job description

Transform Your Career 

We deliver unparalleled opportunities for growth and career advancement. Our dynamic, entrepreneurial culture supports your journey every step of the way. 

Embrace new challenges and deliver real value to some of the world's most influential Fortune 100 brands, growth companies transforming their industries, and mid-market firms that need help navigating the defining moments of their lifecycle. Work side by side with business leaders to solve complex client challenges and make a true impact. Love what you do as part of a diverse organization committed to collaboration and continuous learning.

The Team - Data & Analytics

Our Data & Analytics practice is comprised of functional and technical experts across data strategy, data engineering, analytics, and transformation. We help clients maximize the value of their data by designing modern data platforms, building scalable pipelines, and delivering analytics and reporting solutions that enable better decision-making. Our consultants are hands-on problem solvers who partner closely with clients in fast-paced, project-based environments.

Your Impact

As a Senior Consultant, Data & Analytics, you will:

  • Design and build modern data warehouses and analytics-ready data models
  • Develop scalable, reliable data pipelines using cloud-based data platforms
  • Implement analytics, reporting, and visualization solutions that translate complex data into clear, actionable insights for client stakeholders
  • Partner with client teams to understand business objectives, data challenges, and success metrics through interviews and working sessions
  • Manage discrete project workstreams, balancing technical execution with client communication and delivery timelines
  • Present findings, recommendations, and solution designs to both technical and non-technical audiences
  • Leverage AI-assisted development environments to design, generate, test, and iterate on production-quality analytics and data engineering code
  • Support broader data transformation initiatives, including system implementations, migrations, and modernization efforts
  • Actively participate in internal knowledge sharing, mentoring, and career development activities

At a Minimum, You Will Have:

  • Bachelor's degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related field
  • 2+ years of relevant experience delivering data, analytics, or data engineering solutions in a consulting or project-based environment
  • Strong proficiency in SQL and Python for data transformation, analysis, and pipeline development
  • Hands-on experience with cloud-based data platforms such as Snowflake, Databricks, Redshift, or similar technologies
  • Experience building dashboards and reports using BI tools such as Power BI, Tableau, Sigma, or equivalent
  • Experience working in AI-assisted development environments (e.g., Codex, Claude Code, Cursor) to accelerate and improve code quality
  • Demonstrated ability to manage workstreams, prioritize tasks, and deliver high-quality, client-facing solutions under tight timelines
  • Strong communication skills and comfort engaging with client stakeholders at varying levels of technical depth
  • Ability to work independently while collaborating effectively within cross-functional teams
  • Flexibility for travel, as needed

Preferably, You Will Have:

  • Experience designing data architectures and analytics solutions in cloud-native environments
  • Familiarity with modern data engineering and analytics best practices, including version control and collaborative development workflows
  • Exposure to Agile or other iterative delivery methodologies
  • Experience supporting enterprise data transformation initiatives across finance, operations, or other core business functions
  • A demonstrated interest in continuously learning new tools, platforms, and analytics techniques

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