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Travel Data Analytics Jobs in Ohio (NOW HIRING)

Workiva

Spring 2027 Intern - Data Analytics

Toledo, OH · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... Minimal travel * Reliable internet access for any period of time working remotely and not in a ...

New

Workiva

Spring 2027 Intern - Data Analytics

Columbus, OH · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... Minimal travel * Reliable internet access for any period of time working remotely and not in a ...

New

Workiva

Spring 2027 Intern - Data Analytics

Toledo, OH · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... Minimal travel * Reliable internet access for any period of time working remotely and not in a ...

New

Workiva

Spring 2027 Intern - Data Analytics

Cleveland, OH · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... Minimal travel * Reliable internet access for any period of time working remotely and not in a ...

New

Workiva

Spring 2027 Intern - Data Analytics

Columbus, OH · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... Minimal travel * Reliable internet access for any period of time working remotely and not in a ...

New

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Travel Data Analytics information

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 are the key skills and qualifications needed to thrive as a travel data analyst?

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.

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 popular job titles related to Travel Data Analytics jobs in Ohio?

For Travel Data Analytics jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Travel Data Analytics jobs in Ohio look for?

The top searched job categories for Travel Data Analytics jobs in Ohio are:

What cities in Ohio are hiring for Travel Data Analytics jobs?

Cities in Ohio with the most Travel Data Analytics job openings:

Travel Data Analytics jobs near you

Data Science & Analytics Specialist

Dayton, OH • On-site

Apogee Engineering, LLC
See more jobs at Apogee Engineering, LLCexternal

Full-time

Posted 13 days ago

Job description

Overview
Apogee Engineering has a exciting position for a Data Science & Analytics Specialist that will provide data science and analytics support to help design, implement, and refine analytic workflows leveraging NASIC data within cloud and enterprise environments. Works under the guidance of senior engineers and analysts to enable IA/AI/ML-enabled mission workflows.
****Contingent Upon Contract Award****
Responsibilities
  • Assist in developing and refining analytic workflows that operate on large, complex NASIC datasets.
  • Support the preparation and transformation of data for IA/AI/ML and advanced analytics.
  • Help conduct quantitative analysis, exploratory data analysis, and basic modeling to support mission objectives.
  • Document analytic processes, data flows, and results in support of technical reports and briefings.
  • Collaborate with systems engineers, software engineers, and mission analysts to align analytics with operational use cases.

Qualifications
Minimum Experience:
Citizenship: Must be a US citizen
Clearance: Ability to obtain and maintain a TS/SCI security clearance.
Education / Years of Experience:
Additional Experience:
  • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field, with at least two (2) years' related experience (may include applied research, internships, or professional work).
  • Experience using data analysis tools or languages (e.g., Python, R, SQL, or similar).
  • Ability to interpret quantitative results and communicate them clearly in written and verbal form.
  • Familiarity with basic data management and data quality concepts.

Preferred Qualifications:
  • Experience supporting IA/AI/ML model development, evaluation, or integration.
  • Familiarity with cloud-based data and analytics platforms.
  • Experience working with intelligence or operational datasets (simulated or real).

Additional Information
Location: Wright Patterson AFB Dayton, OH
On-site/Hybrid/Remote: On-site
Travel: Occasional

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