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Entry Level Data Analyst Travel Jobs (NOW HIRING)

Altair Data Resources is seeking an entry-level Data Analyst who is looking for an opportunity to work in an entrepreneurial, high-growth, enthusiastic environment. You will gain significant ...

Required Skills A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep ...

Job Requirements -  Work on gathering requirement and document user stories, use cases, process flow diagrams, cross-functional diagrams, value stream maps as required by the business teams  ...

We are seeking an enthusiastic and detail-oriented Entry-Level Data Analyst to join our team. The candidate will help collect, organize, and analyze data to support business decisions. This position ...

Data Analyst - Travel Demand Modeler

Houston, TX · On-site

$50.50 - $65.50/hr

... data analysis and visualization software: GIS or Tableau, u Ability to plan, organize, and manage the technical components of a travel demand modeling project Do you have... u Bachelor's degree in an ...

The Data Analyst I performs entry-level data analysis and data research work. Works under close supervision, with minimal latitude for using initiative and independent judgment. YOU WILL BE TRUSTED ...

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Entry Level Data Analyst Travel information

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$13

$32

$61

How much do entry level data analyst travel jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for entry level data analyst travel in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What is an entry level data analyst (travel)?

An entry level data analyst (travel) is a professional who collects, processes, and interprets data related to the travel industry or travel operations. They typically work with raw data from bookings, customer feedback, and travel trends to help companies make informed decisions. Their responsibilities may include creating reports, identifying patterns, and supporting business strategy. This role is ideal for recent graduates or those new to data analysis who are interested in the travel sector.

What are some typical challenges entry level data analysts face when working in a travel-focused organization?

Entry level data analysts in the travel industry often encounter large and complex datasets from multiple sources, such as booking platforms, customer feedback, and travel logistics systems. Navigating inconsistent data formats and ensuring data accuracy can be challenging, especially when integrating information from international markets. Additionally, analysts must quickly learn to interpret travel-specific trends, such as seasonality or regional preferences, and collaborate closely with marketing, operations, and customer service teams to provide actionable insights. Building effective communication skills to explain findings to non-technical stakeholders is also a key part of the role.

What is the difference between Entry Level Data Analyst Travel vs Data Analyst?

AspectEntry Level Data Analyst TravelData Analyst
Required CredentialsBachelor's in related field, basic Excel, SQL knowledgeBachelor's or higher, SQL, Excel, possibly some certifications
Work EnvironmentTraveling to client sites, remote work, or office-basedOffice setting, remote, or hybrid
Employer & Industry UsageConsulting firms, travel-heavy industries, client-facing rolesVarious industries including finance, healthcare, tech
Search & Comparison IntentLooking for entry-level travel roles in data analysisGeneral data analysis roles, possibly non-travel

Entry Level Data Analyst Travel focuses on roles requiring travel and client interaction, often in consulting or service industries, with similar credentials to general data analyst roles. Data Analyst positions may be office-based or remote, with broader industry applications. The main difference lies in the travel requirement and work environment.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst in the travel industry, and why are they important?

To thrive as an Entry Level Data Analyst in the travel industry, you need strong analytical skills, foundational knowledge of statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like Excel, SQL, and Tableau, along with basic programming skills in Python or R, is typically required. Attention to detail, problem-solving ability, and effective communication are vital soft skills for interpreting data and sharing insights with diverse teams. These competencies enable data-driven decision-making and help optimize travel operations and customer experiences.
More about Entry Level Data Analyst Travel jobs
What cities are hiring for Entry Level Data Analyst Travel jobs? Cities with the most Entry Level Data Analyst Travel job openings:
What are the most commonly searched types of Data Analyst Travel jobs? The most popular types of Data Analyst Travel jobs are:
What job categories do people searching Entry Level Data Analyst Travel jobs look for? The top searched job categories for Entry Level Data Analyst Travel jobs are:
Infographic showing various Entry Level Data Analyst Travel job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Full-time

Posted 19 days ago


Job description

Altair Data Resources is seeking an entry-level Data Analyst who is looking for an opportunity to work in an entrepreneurial, high-growth, enthusiastic environment. You will gain significant experience within our Data Management group helping clients understand more about their data. Using our analytics and visualization tools, you will gain experience working with industry-leading software applications such as Alteryx, Python, Power BI, R and SQL.
Data Analyst Job Duties
Data analyst responsibilities include conducting analysis and producing datasets based on customer or manager requirements. Data analysts will develop analysis and reporting capabilities. They will also monitor key performance indicators and quality control plans to identify improvements.
Data Analyst Responsibilities
  • Interpret data, analyze results using statistical techniques and provide ongoing reports
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  • Acquire data from primary or secondary data sources and maintain databases/data systems
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Filter and "clean" data by reviewing computer reports and performance indicators to locate and correct code problems
  • Work with management to prioritize business and information needs
  • Locate and define new process improvement opportunities

Requirements
Data Analyst Job Requirements
  • Proven working experience as a data analyst or business data analyst. Class project experience may be substituted for work experience
  • Technical expertise regarding data models, data processing, data mining and segmentation techniques. Quality control methodologies are a plus (Lean, Six Sigma)
  • Strong knowledge of and experience with reporting packages (Tableau, Power BI, etc.), databases (SQL etc.), programming (Python, JavaScript, or ETL frameworks)
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, R etc.)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Adept at queries, report writing and presenting findings
  • Working towards or completed BS or MS in Mathematics, Computer Science, Data Science, Information Management or Statistics