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Airline Data Analyst Jobs in Chicago, IL (NOW HIRING)

Samprasoft

Data Analyst IV

Chicago, IL · On-site

Data Analyst We are seeking creative, driven, detail-oriented individuals who enjoy tackling tough ... Experience in the travel industry, especially airline related.

Kaav Inc.

Data Analyst IV

Chicago, IL · On-site

Experience in the travel industry, especially airline related. Required Skills : Data Analysis Additional Skills : Data AnalystThis is a high PRIORITY requisition. This is a PROACTIVE requisition

Hughes

Reliability Analyst - Aerospace

Lisle, IL · On-site

... data analysis, ideally from an aerospace or satellite communications provider Preferred : • Airline operations exposure in a technical environment (Maintenance / Engineering) • Practical ...

Kaav Inc.

Data Engineer III

Chicago, IL · On-site

$118K - $141.80K/yr

Data engineering experience with transportation/airline industry * Strong problem-solving skills Required Skills : DevOps,Data Analysis Basic Qualification : Additional Skills : Data Engineer ...

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$35K

$85.1K

$140.1K

How much do airline data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for airline data analyst in Chicago, IL is $85,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $99,900.00 per year, depending on experience, location, and employer.

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 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.

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.
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Airline Data Analyst jobs near you
Data Analyst IV

Data Analyst IV

Samprasoft

Chicago, IL • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Analyst

We are seeking creative, driven, detail-oriented individuals who enjoy tackling tough problems with data and insights. Individuals who have a natural curiosity and desire to solve problems are encouraged to apply. A Data Analyst who is skilled in interpreting data and turns it into information which can offer ways to improve a business, thus affecting business decisions is required.

Primary Responsibilities:
  • Collaborate to design and develop schemas and data acquisition, transformations, and data integration.
  • Develop and utilize software to interface big data and relational solutions.
  • Design and implement solutions for metadata, data quality, privacy management.
  • Support and consult with the development staff.
  • Collecting and interpreting data, analyzing results, Reporting the results back to the relevant members of the business, Identifying patterns and trends in datasets.
  • Working alongside teams within the business or the management team to establish business needs.
  • Develop strategic measurement strategies in collaboration with internal stakeholders.
  • Manage data integration and technology projects across the various platforms that comprise enterprise data strategy.
  • Will be responsible for preparing one or more of the deliverables required to build Business Requirement Documents for projects, including process flow, use cases and user stories.
  • Interface with Business Stakeholders and IT teams to work through the start-up phases of projects, ensuring business requirements and business acceptance documents are accurately developed.
  • Ability to manage multiple deliverables both short and long-term in a busy and aggressive environment, while staying flexible to dynamic needs and priority levels
  • Establish and maintain strong business relationships with both senior and operating level business leader. Manage agile development and delivery by collaborating with project manager, product owner and development leads.

Required

  • Bachelor's degree in quantitative field (statistics, engineering, business analytics, information systems, aviation management or related degree)
  • 5+ years of experience in an analytical role
  • Expert knowledge of using cloud technologies like AWS, Google Cloud
  • Proven experience gathering and developing at requirements
  • Working knowledge of databases, SQL, and programming concepts.
  • Proven proficiency with Microsoft Excel and PowerPoint.
  • Strong initiative to take ownership of data-focused projects, get involved in the details of validation and testing, as well as provide a business user perspective to their work
  • Strong problem-solving skills, using data to tackle problems
  • Strong organization and project management skills, and strong attention to detail
  • Ability to communicate complex quantitative concepts in a clear, precise and actionable manner
  • Outstanding writing, communication and presentation skills Preferred
  • 2+ years of experience in data engineering or analytics role
  • Understanding of Big Data and Data Warehousing preferred
  • Experience in the travel industry, especially airline related.

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