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Manager Data Analyst Travel Jobs (NOW HIRING)

Data Collection & Management: Collect data from primary and secondary sources, and maintain ... Statistical Analysis: Apply appropriate statistical methods and techniques to interpret data ...

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

TITLE: Senior Data Analyst Location: Chicago, IL (some travel to McLean, VA maybe required ... AWS (S3) : Experience consuming and managing data in cloud storage. * Snowflake : Hands-on ...

Data Analyst

Washington, DC · On-site

$70K - $100K/yr

Pantheon Data was founded in 2011, initially providing acquisition and supply chain management ... Position Overview The Data Analyst supports the development of dashboards, reports, data ...

Day-to-day, you'll work with the data operations team to automate standard processes, build lightweight analytics tools, manage data dictionaries, and ensure the pipeline stays compliant and ...

... data management. Preferred Qualifications: - Experience synthesizing data for non-analytics ... consumers. - Bachelor's degree in Business, Finance, or a related field, or equivalent professional ...

This role will focus on developing and managing work management solutions and creating insightful PowerBI dashboards. The successful candidate will analyze data sets, design efficient workflows, and ...

This role will focus on developing and managing work management solutions and creating insightful PowerBI dashboards. The successful candidate will analyze data sets, design efficient workflows, and ...

This role will focus on developing and managing work management solutions and creating insightful PowerBI dashboards. The successful candidate will analyze data sets, design efficient workflows, and ...

Data Analyst

Raleigh, NC · On-site

$30 - $35/hr

The Data Analyst will support a data transparency program by managing data ingestion, validation, reporting, analytics, and governance activities. * This role is responsible for developing Power BI ...

Experience with tag management systems (Google Tag Manager preferred). * Experience with data ... Experience with server-side analytics platforms. * Exposure to marketing mix modeling or advanced ...

They are seeking a DCIM Data Analyst to support internal teams and customer deployments by managing ... Required : • Occasional travel required to client sites or team working sessions. • Ability to ...

Data Analyst

Washington, DC · On-site

$61 - $68/hr

The ideal candidate will possess strong analytical skills, proficiency in data management tools, and the ability to communicate effectively with stakeholders, driving continuous improvement in data ...

Experience with tag management systems (Google Tag Manager preferred). * Experience with data ... Experience with server-side analytics platforms. * Exposure to marketing mix modeling or advanced ...

Data Analyst

Chicago, IL · On-site

$18/hr

... EAP), and Travel Assistance. · Tuition Reimbursement after 1 year of employment · Additional ... manage data to improve data quality and the efficiency of systems · Filter and "clean" data ...

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Manager Data Analyst Travel information

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$34K

$82.6K

$136K

How much do manager data analyst travel jobs pay per year?

As of Jul 23, 2026, the average yearly pay for manager data analyst travel in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a Manager Data Analyst in the travel industry do?

A Manager Data Analyst in the travel industry oversees a team of data analysts and is responsible for collecting, analyzing, and interpreting data related to travel trends, customer behavior, and business performance. They work closely with other departments to provide insights that drive strategic decisions, improve customer experiences, and optimize operations. This role often involves managing data infrastructure, ensuring data quality, and presenting actionable recommendations to senior management. Strong leadership, analytical, and communication skills are essential for success in this position.

How does a Manager Data Analyst in the travel industry typically collaborate with other departments to drive business insights?

As a Manager Data Analyst in the travel sector, you will frequently collaborate with marketing, sales, operations, and product development teams to gather requirements, share analytical findings, and support strategic decision-making. This role often involves translating complex data into actionable insights for non-technical stakeholders, leading cross-functional meetings, and ensuring that data-driven recommendations align with broader business goals. Effective communication and teamwork are essential, as your analyses directly influence customer experience, pricing strategies, and operational efficiency across the organization.

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

AspectManager Data Analyst TravelData Analyst Travel
Required CredentialsBachelor's degree, experience in data analysis, leadership skillsBachelor's degree, proficiency in data tools, analytical skills
Work EnvironmentTeam leadership, project management, strategic planningData collection, analysis, reporting
Employer & Industry UsageTravel companies, hospitality, tourismTravel agencies, airlines, hospitality

The main difference is that a Manager Data Analyst Travel oversees data teams and strategic projects, while a Data Analyst Travel focuses on analyzing travel data and generating reports. The manager role involves leadership and decision-making responsibilities, whereas the analyst role emphasizes technical data work.

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

To thrive as a Manager Data Analyst in the travel industry, you need strong analytical skills, experience with data modeling, and a relevant degree in statistics, mathematics, or a related field. Proficiency in tools like SQL, Tableau, Python, and data warehousing systems, as well as familiarity with travel industry platforms, is typically required. Leadership, communication, and problem-solving abilities help you effectively manage teams and translate data insights into actionable business strategies. These skills and qualities are vital for driving data-informed decisions that optimize operations and enhance customer experiences in a competitive travel market.
More about Manager Data Analyst Travel jobs
What cities are hiring for Manager Data Analyst Travel jobs? Cities with the most Manager 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 states have the most Manager Data Analyst Travel jobs? States with the most job openings for Manager Data Analyst Travel jobs include:
Infographic showing various Manager Data Analyst Travel job openings in the United States as of July 2026, with employment types broken down into 65% Full Time, 4% Part Time, and 31% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

TLA-LLC

Mclean, VA • On-site

Full-time

Posted 5 days ago


Job description

TLA is seeking a detail-oriented and analytical Data Analyst to transform complex data sets into actionable business insights. The ideal candidate will be responsible for the full lifecycle of data analysis, including data collection, cleaning, interpretation, and presentation of findings to stakeholders to drive strategic decision-making across the organization.
Key Responsibilities:
  • Data Collection & Management: Collect data from primary and secondary sources, and maintain databases and data systems to ensure accuracy and integrity.
  • Data Cleaning & Preparation: Clean, filter, and transform raw data to remove inconsistencies and prepare it for analysis, ensuring high data quality.
  • Statistical Analysis: Apply appropriate statistical methods and techniques to interpret data, analyze trends, and identify patterns and correlations that provide valuable business insights.
  • Reporting & Visualization: Develop and maintain reports, interactive dashboards, and Key Performance Indicators (KPIs) using data visualization tools to communicate findings in an understandable format for non-technical stakeholders.
  • Problem Solving: Collaborate with cross-functional teams (e.g., Marketing, Finance, Operations) to understand business requirements, define analytical needs, and provide data-driven recommendations to solve complex problems and improve processes.
  • Documentation: Create clear and concise documentation of data sources, analysis processes, and results to ensure reproducibility and transparency.
  • Process Improvement: Identify and implement opportunities to automate and streamline data collection and reporting processes for improved efficiency.

Required Skills and Experience:
Proficiency in SQL: Essential for querying and managing data in relational databases, including advanced functions like joins and aggregations.
Strong Excel Skills: Advanced proficiency with spreadsheet software, including pivot tables, VLOOKUP/INDEX-MATCH, and complex formulas for data manipulation and quick analysis.
Programming Languages: Experience with statistical programming languages such as Python (using libraries like Pandas, NumPy, and Matplotlib) or R for complex analysis and automation.
Data Visualization Tools: Hands-on experience with Business Intelligence (BI) and data visualization platforms (Tableau or Microsoft Power BI preferred).
Statistical Knowledge: Solid understanding of statistical concepts, including hypothesis testing, regression analysis, and A/B testing.
Soft Skills
Analytical and Critical Thinking: The ability to logically approach complex problems, ask the right questions, and evaluate data objectively.
Communication Skills: Excellent written and verbal communication skills, with the ability to translate technical findings into clear, compelling narratives for diverse audiences.
Attention to Detail: Meticulous attention to detail to ensure the accuracy and reliability of data and analysis.
Problem-Solving Abilities: A proactive mindset to troubleshoot data issues and find innovative solutions.
Collaboration: Strong interpersonal skills and the ability to work effectively within a team environment and with various stakeholders.
Experience and Education
Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline.
Preferred Certifications and Qualifications:
While not required, the following certifications are a plus:
Microsoft Certified: Power BI Data Analyst Associate
Google Data Analytics Professional Certificate
Certified Analytics Professional (CAP)
AWS Certified Data Analytics - Specialty (for roles involving cloud platforms)
Requirements
Preferred Certifications and Qualifications:
While not required, the following certifications are a plus:
Microsoft Certified: Power BI Data Analyst Associate
Google Data Analytics Professional Certificate
Certified Analytics Professional (CAP)
AWS Certified Data Analytics - Specialty (for roles involving cloud platforms)