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Airline Data Analyst Jobs (NOW HIRING)

360 IT Professionals

DATA ANALYST

Dallas, TX

... data Experience with Airline Corporate Sales and operations Ability to proactively manage ... analysis and modeling including linear regression, segmentation, non-linear predictive (e.g ...

Airship

Data Analyst

About Airship Airship is trusted by world's leading brands such as Alaska Airlines, BBC and The ... Airship is recruiting for a Data Analyst to join our dynamic ASO Team. We work with top app ...

Psa Airlines

CASS Analyst

Charlotte, NC · On-site

Responsibilities Position Summary The CASS Analyst impacts PSA Airlines' business growth through the responsibility of collecting, analyzing, and reporting CASS data gathered through the root cause ...

ijetconnect

Integration Data Specialist

Annapolis, MD · On-site

Analyzing data and recommending client or travel process changes to improve the data quality ... Experience in some aspects of travel agency data management, airline data operations or travel ...

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How much do airline data analyst jobs pay per year?

As of Jun 11, 2026, the average yearly pay for airline data analyst 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 an aviation data analyst do?

An aviation data analyst collects, analyzes, and interprets airline and airport data to identify trends, improve operational efficiency, and support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work with large datasets related to flight schedules, passenger numbers, and safety metrics.

What are typical daily responsibilities of an Airline Data Analyst?

As an Airline Data Analyst, your daily tasks may include gathering and cleaning large datasets, analyzing flight operations and performance metrics, and preparing reports or dashboards for management review. You often work closely with departments such as revenue management, operations, and customer service to provide actionable insights into efficiency, customer trends, or safety issues. Additionally, you may be responsible for identifying workflow improvements, automating recurring analyses, and supporting strategic projects. This role is dynamic and collaborative, offering variety and the chance to impact core business decisions.

What is an Airline Data Analyst job?

An Airline Data Analyst collects, processes, and interprets aviation-related data to help airlines improve efficiency, reduce costs, and enhance customer experience. They analyze flight operations, ticket sales, passenger trends, and fuel usage to identify patterns and optimize decision-making. Using data visualization tools and statistical models, they provide insights that support route planning, pricing strategies, and operational improvements. Strong analytical skills, proficiency in data tools like SQL, Python, or Excel, and a deep understanding of the airline industry are essential for this role.

What is the salary of data analyst in United Airlines?

The salary of a data analyst at United Airlines typically ranges from $60,000 to $85,000 per year, depending on experience, location, and specific role responsibilities. Data analysts in the airline industry often work with large datasets and tools like SQL, Excel, and data visualization software.

What are the key skills and qualifications needed to thrive in the Airline Data Analyst position, and why are they important?

To thrive as an Airline Data Analyst, you need strong analytical abilities, statistical knowledge, and experience with data visualization, often backed by a degree in mathematics, statistics, or a related field. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms like Tableau, as well as knowledge of aviation software systems, is regularly required. Excellent communication, attention to detail, and a collaborative mindset help you translate complex data insights into actionable recommendations for cross-functional teams. These skills are crucial for optimizing airline operations, supporting data-driven decision-making, and improving business performance in a competitive industry.

Is a data analyst a high paid job?

Data analysts, including airline data analysts, typically earn competitive salaries that vary by industry, experience, and location. In the airline industry, data analysts with advanced skills in SQL, Excel, and data visualization tools often command higher pay, especially with certifications or specialized knowledge. Overall, data analysis is considered a well-paying profession compared to many entry-level roles.

Is 40 too late for data science?

For an airline data analyst, age is generally not a barrier to entering data science, as skills and experience are more important. Many professionals transition into data roles later in their careers by acquiring relevant skills such as programming, statistics, and data visualization. Continuous learning and certifications can help demonstrate competence regardless of age.
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Airline Data Analyst jobs near you
Infographic showing various Airline Data Analyst job openings in the United States as of June 2026, with employment types broken down into 8% As Needed, 69% Full Time, and 23% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
DATA ANALYST

DATA ANALYST

360 IT Professionals

Dallas, TX

Full-time

Posted 25 days ago

Job description

Company Description

360 IT Professionals is leading name in the software development industry, bring innovative business solutions to clients in Silicon Valley. We are always looking forward to bring aboard IT professionals and help them build a career in the IT Industry by providing the opportunity to work with our top clients in US.

Job Description

A Data Analyst with strong Analytics background to support Corporate Sales Reporting and Analytics needs. The Data Analyst will partner with business and operations technology teams to define and execute data analytics initiatives that help executive leadership gain buy-in on the investments made, create sustainable revenue and growth. Data Analyst will be responsible for driving data driven insights from operational data (booked, flown, contract and sales team metrics from Salesforce, Customer data including segmentation and other marketing elements, potentially forecasting information from Corp Sales and Revenue Management, etc.) This role requires business intuition, project management experience, and a working knowledge of analytical tools.

Partners with operational business stakeholders to identify key initiatives and execute solutions to business problems using data analysis and advanced analytics
Extracts data from a variety of sources for use in analysis, models and project development; completes ad-hoc reporting and data analysis
Communicates and coordinates frequently with business stakeholders and technology teams
Develops and validates evaluation metrics, KPIs, Targets, Reports and models to analyze business performance and areas of opportunity

Qualifications

Requirements:
Bachelor's degree in quantitative field (statistics, engineering, business analytics, computer science, information systems or related degree)
Passionate about data analytics, strong strategic and critical thinking, problem-solving skills
Experience working with large datasets and reporting or visualization tools, ability to tell a story using data
Experience with Airline Corporate Sales and operations
Ability to proactively manage stakeholder expectations on current and future business needs
Ability to communicate complex quantitative concepts in a clear, precise and actionable manner
Familiarity with database interface tools, SQL and programming concepts
Experience with statistical tools and concepts (R, SPSS, SAS)
Preferred skill set:
Experience with Oracle/Exadata, Teradata, AWS Redshift/Hadoop, Splice open source data platforms
Experience with Business Objects-Crystal Reports or Ab Initio for reporting
Experience with Tableau, Spotfire, Alteryx or other visualization tools
Experience with statistical analysis and modeling including linear regression, segmentation, non-linear predictive (e.g. logistic) regression and machine learning

Additional Information

All your information will be kept confidential according to EEO guidelines.

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