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Travel Data Analytics Jobs (NOW HIRING)

Walgreens

Data Analytics Analyst

Deerfield, IL · On-site

$63K - $101K/yr

Willing to travel up to 10% of the time for business purposes (within state and out of state ... Experience with business intelligence tools in support of data analytics (e.g. Business Objects ...

Qvest US

Manager - Data & Analytics

New York, NY · On-site +1

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this ... Travel may include sites outside the employee's primary office location, state, or region. Remote ...

Qvest US

Manager - Data & Analytics

Los Angeles, CA · On-site +1

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this ... Travel may include sites outside the employee's primary office location, state, or region. Remote ...

Qvest US

Manager - Data & Analytics

New York, NY · On-site +1

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this ... Travel may include sites outside the employee's primary office location, state, or region. Remote ...

Qvest US

Manager - Data & Analytics

New York, NY · On-site

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this ... Travel may include sites outside the employee's primary office location, state, or region. Remote ...

Qvest US

Manager - Data & Analytics

Los Angeles, CA · On-site +1

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this ... Travel may include sites outside the employee's primary office location, state, or region. Remote ...

TEKsystems

Travel Data Center Technician

Wolfforth, TX

$30 - $50/hr

... cause analysis of hardware and software failures Training of internal teams Development of ... Occasional travel to other data centers as needed Skills Data center, Rack and stack, Hardware ...

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 ...

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 ...

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Travel Data Analytics information

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How much do travel data analytics jobs pay per hour?

As of Jul 21, 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.

Is 40 too late for data science?

Travel Data Analytics is a field that values skills and experience over age; many professionals transition into data science at 40 or later. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, and building a strong portfolio or certifications. Age should not be a barrier if you actively develop your expertise and stay current with industry trends.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Data analysts will increasingly work alongside AI tools, focusing on tasks that require critical thinking, domain expertise, and communication skills.

What is the highest paying job in data analytics?

In data analytics, senior roles such as Data Science Director or Chief Data Officer typically have the highest salaries, often exceeding six figures annually. These positions require advanced skills in machine learning, statistical analysis, and leadership, and they oversee large data teams and strategic initiatives.

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 is a travel data analyst?

A travel data analyst is a professional who collects, analyzes, and interprets data related to travel patterns, customer behavior, and industry trends. They use tools like Excel, SQL, and data visualization software to support decision-making and improve travel services or marketing strategies.

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
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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
Data Analytics Manager

Data Analytics Manager

Indiana Packers Corporation

Delphi, IN • On-site

Full-time

Posted 13 days ago

Indiana Packers Corporation rating

6.0

Company rating: 6.0 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

307th of 397 rated food and drinks producers

Job description

Data Analytics Manager
Location: This is a remote position
Travel: Up to 25 percent, with heavier travel expected during onboarding and key initiatives
Department: FP&A / Data Analytics
Reports To: Sr. Director of FP&A
Position Overview
As a Data Analytics Manager in the FP&A group, you will play a key role in building out analytics capabilities from the ground up. This is a hands-on leadership role where you will lead reporting and analytics development, partner with business teams, and drive meaningful insights that support decision-making across the organization. You will operate at the intersection of strategy and execution, balancing business partnership, technical depth, and process improvement. A critical component of this role is designing, building, and executing a scalable data lake and data architecture to serve as the single source of truth for the enterprise. This role offers the opportunity to influence how the business thinks about and uses data, while shaping future team structure as opportunities and requests grow.
Key Responsibilities:
Team Leadership and Development
  • Build and shape a high-performing analytics team as needs grow
  • Provide direction, mentorship, and coaching to future analysts
  • Foster a collaborative, results-focused team environment centered on learning and execution
Strategic Partnership and Collaboration
  • Partner with business leaders to identify opportunities for improved reporting, process efficiency, and data-backed decision-making
  • Translate business needs into actionable analytics solutions in alignment with strategic priorities
  • Build strong cross-functional relationships with Finance, Operations, IT, and other support teams
  • Design and implement best-in-class data drivers and performance metrics to accelerate decision-making
Data Architecture and Engineering
  • Design, build, and execute a scalable enterprise data lake and supporting data architecture
  • Establish raw, curated, and reporting data layers to support analytics and reporting needs
  • Develop and manage ETL/ELT pipelines to integrate data from SAP S/4HANA, Digital Manufacturing, and legacy systems
  • Ensure data governance, data quality, and consistency across the enterprise to enable a true single source of truth
  • Evaluate and implement appropriate cloud technologies (Azure, AWS, Snowflake, etc.) to support scalability and performance
Data Analytics and Reporting
  • Build and manage scalable dashboards and reports using Power BI and other tools
  • Develop models and run ad hoc analyses tied to financial and operational goals
  • Automate data processes using tools such as SQL, Python, R, or Alteryx
Process Improvement and Innovation
  • Identify and implement improvements in reporting structure, accuracy, and delivery
  • Maintain and optimize database environments to ensure data reliability and scalability
  • Stay current with trends in analytics, visualization, and automation to bring forward innovative solutions
Training and Communication
  • Support business partners in effectively using dashboards and self-serve analytics tools
  • Present findings clearly to both technical and non-technical audiences
  • Ensure documentation of key metrics, calculations, and methodologies is accurate and transparent
Minimum Qualifications
Education and Experience
  • Bachelor's degree in Finance, Accounting, Business Analytics, Statistics, Data Science, Computer Science, or a related field
  • 3 to 5 years of experience in data analytics, FP&A, business intelligence, or data engineering
  • Hands-on experience building dashboards and reports, preferably in Power BI
  • Proficiency in SQL with exposure to scripting languages such as Python or R
  • Hands-on experience designing and building data lakes or enterprise data environments
  • Demonstrated ability to work cross-functionally and communicate insights effectively
Skills and Competencies
  • Strong analytical thinking and problem-solving skills
  • Excellent verbal and written communication abilities
  • Highly organized and self-motivated with the ability to manage time independently in a remote work environment
  • Comfortable working across distributed teams and managing competing priorities
Preferred Qualifications
  • Experience in manufacturing, CPG, or operational environments
  • Familiarity with SAP (S/4HANA, ECC, or BW) data structures
  • Experience with cloud-based data platforms such as Snowflake, Azure, or AWS
  • Experience with Alteryx, DAX, or Power Query for automation and transformation
  • Experience integrating SAP data into modern data lake architectures

Other Duties:
Please note, this job description is not designated to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties and responsibilities may change at any time with or without notice.
Physical Demand:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.
Work is primarily performed in an office setting in a manufacturing environment requiring the ability to sit, talk, hear, frequent walking, standing, and sitting; use hands to finger, handle, or feel; reach with hands and arms and stoop, kneel, crouch, or crawl. Ability to occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision and distance vision. Ability to use standard office equipment such as telephone, computer, and copier.
Background Screening/Checks:
This position is contingent upon the successful completion of a background check. This may include verification of employment, education, criminal background, driving history, and other relevant information, conducted in accordance with applicable federal, state, and local laws and regulations.
EOE, including Disability/Veteran
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