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Travel Data Analytics Jobs (NOW HIRING)

Travel: Limited; occasional domestic or international travel. * Certifications: Analytics, data visualization, or regulatory certifications preferred but notrequired. For more information on how we ...

A strategic leader overseeing data and analytics operations across various departments and regions ... Business travel will be necessary, regardless of state of residence, and will primarily be within ...

Travel: Limited; occasional domestic or international travel. * Certifications: Analytics, data visualization, or regulatory certifications preferred but notrequired. For more information on how we ...

Travel: Limited; occasional domestic or international travel. * Certifications: Analytics, data visualization, or regulatory certifications preferred but notrequired. For more information on how we ...

Travel: Limited; occasional domestic or international travel. * Certifications: Analytics, data visualization, or regulatory certifications preferred but notrequired. For more information on how we ...

Travel: Limited; occasional domestic or international travel. * Certifications: Analytics, data visualization, or regulatory certifications preferred but notrequired. For more information on how we ...

Analyst Data Analytics

Deerfield, IL ยท 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 ...

Travel: Limited; occasional domestic or international travel. * Certifications: Analytics, data visualization, or regulatory certifications preferred but notrequired. For more information on how we ...

Valley Green, PA (with occasional international travel) About the Role: We are seeking a highly analytical and experienced professional to lead data-driven initiatives within our HSIO Connectors ...

SME Data Analytics

San Antonio, TX ยท On-site +1

$141K - $187K/yr

As SME Data Analytics-Water Modeling, you will serve as a specialized technical leader who helps ... travel assistance, pet insurance, access to company cabins and partner discounts. See more at ...

Perform data analysis and interpret results in RD&E or business environments. * Work independently ... No travel required * Normal business hours are 8:00 a.m.-5:00 p.m., with occasional additional ...

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Travel Data Analytics information

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$24

$54

$94

How much do travel data analytics jobs pay per hour?

As of Jun 6, 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:
Infographic showing various Travel Data Analytics job openings in the United States as of May 2026, with employment types broken down into 28% Full Time, 23% Part Time, and 49% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Data Analytics Analyst

Data Analytics Analyst

Western Health Advantage

Sacramento, CA โ€ข On-site

$80K - $100K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Department: Finance
Position Type: Full-Time/Exempt
Location: Sacramento, CA/Hybrid
Travel: Occasional
Salary: $80,000 -$100,000 annually

"Our purpose is strong, our impact is lasting, join us on the journey"
Western Health Advantage
Bring Data to Life. Drive Strategic Impact.
Western Health Advantage is seeking a highly analytical and detail-oriented Data & Analytics Analyst to join our Finance team. Reporting to the Data & Analytics Manager, this position plays a critical role in supporting strategic and operational decision-making through data analysis, reporting, business intelligence, and performance monitoring.
The ideal candidate combines strong technical expertise with business acumen and enjoys transforming complex data into actionable insights. This role will partner with stakeholders across Finance, Operations, Clinical Services, IT, and Compliance to develop reporting solutions, analyze trends, and support organizational objectives.
A successful candidate will have hands-on experience with SQL, Power BI, and Cognos, along with the ability to create impactful dashboards, perform financial and operational analyses, and communicate findings to both technical and non-technical audiences.
What You'll Do:
You'll play a critical role in supporting strategic initiatives through:
  • Analyze financial, clinical, and operational data to identify trends, opportunities, and business insights.
  • Develop, maintain, and enhance reports, dashboards, and performance scorecards that support organizational decision-making.
  • Design and promote self-service reporting capabilities through interactive business intelligence tools.
  • Utilize SQL to extract, manipulate, and analyze data from multiple enterprise systems.
  • Partner closely with IT and Compliance teams to manage data access controls and ensure data governance standards are maintained.
  • Validate data integrity, troubleshoot reporting issues, and ensure accuracy across reporting environments.
  • Clean, transform, and prepare data for analysis by resolving inconsistencies, missing values, and outliers.
  • Create clear visualizations and presentations for leadership and stakeholders.
  • Support budget variance analysis, forecasting activities, and financial performance monitoring.
  • Perform detailed analyses to uncover correlations and actionable insights across business units.
  • Assist with predictive analytics and machine learning initiatives to address business challenges.
  • Monitor key performance indicators and identify opportunities for process improvement and operational efficiency.
  • Partner with business stakeholders to understand reporting requirements and business objectives.
  • Collaborate with cross-functional teams to deliver data-driven solutions that support strategic goals.
  • Prepare executive-level reports and presentations for both technical and non-technical audiences.
  • Document processes and create tools that standardize data usage and interpretation across the organization.

What You'll Bring:
  • Bachelor's degree in Finance, Business, Data Analytics, Information Systems, or a related field.
  • Minimum two (2) years of experience in database reporting, analytics, statistics, business intelligence, financial analysis, or related business functions.
  • Proficiency in SQL for data extraction, manipulation, and analysis.
  • Experience with financial modeling and data visualization tools, including Microsoft Power BI and IBM Cognos Analytics.
  • Experience developing, maintaining, and analyzing dashboards, reports, and business intelligence solutions using Power BI and Cognos.
  • Strong analytical and problem-solving skills with the ability to interpret complex data sets.
  • Excellent communication and collaboration skills.
  • Advanced proficiency with Microsoft Excel and other business productivity applications.
Preferred Qualifications
  • Experience working in healthcare, managed care, or health plan environments.
  • Exposure to predictive analytics, machine learning, or advanced statistical modeling.
  • Knowledge of healthcare financial and operational metrics.

Why Western Health Advantage?
Western Health Advantage values and supports the unique talents and strengths that each employee brings to our organization. Collaborating with the best and the brightest means a dynamic, fulfilling work experience for you - and excellent customer service for our members.
Here, your insights won't just sit in spreadsheets - they'll influence decisions, strengthen performance, and improve the healthcare experience for the communities we serve.
Western Health Advantage is committed to providing equal employment opportunities to employees and applicants for employment on the basis of merit and without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, physical or mental disability, medical condition, genetic information, marital status, ancestry, military or veteran status, or any other basis made unlawful by federal or state law.