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Airline Data Analyst Remote Jobs in Arizona (NOW HIRING)

Data Analyst (REMOTE)

Phoenix, AZ ยท Remote

$115K - $126K/yr

Ensures business data and analysis requirements are met by properly applying data concepts, including data structures, collection and cleansing, and structured and unstructured data analysis and ...

Sr. Data Analyst

Tempe, AZ ยท On-site +1

By leveraging proprietary data and analytics, our solutions are tailored for each step of our ... Hybrid and remote work opportunities * Medical, dental, and vision with HSA and FSA options Note:

Sr. Data Analyst

Tempe, AZ ยท On-site +1

$115K - $145K/yr

By leveraging proprietary data and analytics, our solutions are tailored for each step of our ... Hybrid and remote work opportunities * Medical, dental, and vision with HSA and FSA options Note:

This position is local to our corporate campus located in Phoenix, AZ and is ineligible for fully remote work. As a Data Analyst, team members will be responsible for evaluating and improving U-Haul ...

Supply Chain Data Analyst

Phoenix, AZ ยท On-site +1

$31 - $33.65/hr

... data analysis, supply chain analytics, materials planning, or a similar analytical role * Strong ... We offer flexible work options, including remote arrangements, to support the need of the role and ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

AI Data Science Expert - Remote

Phoenix, AZ ยท Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Analytics Expert - Remote

Phoenix, AZ ยท Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Business Intelligence & Analytics Experts to ... You will work with dashboards, reports, KPIs, data visualizations, and leading BI platforms to ...

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Airline Data Analyst Remote information

What does an airline data analyst do, especially in a remote role?

An Airline Data Analyst collects, processes, and interprets data related to airline operations, such as flight schedules, ticket sales, customer feedback, and on-time performance. Working remotely, they use data analysis tools and software to identify trends, optimize routes, improve efficiency, and support decision-making for airlines. Their insights help airlines enhance customer experience, reduce costs, and stay competitive. Remote analysts collaborate with teams through virtual meetings and share their findings via reports and presentations.

What are some typical data sources and tools an airline data analyst uses when working remotely?

As a remote Airline Data Analyst, you'll commonly work with data from reservation systems, flight operations, customer feedback, and revenue management platforms. Tools such as SQL, Excel, Tableau, and Python are frequently used for data extraction, analysis, and visualization. Collaboration with cross-functional teams, like route planners and marketing analysts, often happens via virtual meetings and shared dashboards, making strong communication skills essential for success in a remote environment.

What are the key skills and qualifications needed to thrive as an airline data analyst remote, and why are they important?

To thrive as an Airline Data Analyst (Remote), you need strong analytical skills, proficiency in statistics, and a background in data science or a related field, often supported by a relevant degree. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and airline-specific software such as Sabre or Amadeus is typically required. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting and presenting complex data insights. These skills ensure accurate analysis, informed decision-making, and valuable business recommendations within the highly competitive airline industry.

What is the difference between Airline Data Analyst Remote vs Airline Data Scientist?

AspectAirline Data Analyst RemoteAirline Data Scientist
Required CredentialsBachelor's in Data, Analytics, or related field; experience with airline dataBachelor's or Master's in Data Science, Statistics, or related; strong programming skills
Work EnvironmentRemote, collaborative with airline teamsRemote or on-site, often more technical and research-focused
Employer & Industry UsageAirlines, travel companies, logistics firmsAirlines, aviation analytics firms, consulting agencies
Common Search & ComparisonYesNo

Airline Data Analyst Remote and Airline Data Scientist roles share some credentials and industry usage but differ mainly in technical depth. Data Analysts focus on interpreting airline data to support business decisions, while Data Scientists develop models and algorithms. Both roles can be remote and are vital in the airline industry, but Data Scientists typically require more advanced skills and education.

What are the most commonly searched types of Airline Data Analyst jobs in Arizona?

The most popular types of Airline Data Analyst jobs in Arizona are:

What cities in Arizona are hiring for Airline Data Analyst Remote jobs?

Cities in Arizona with the most Airline Data Analyst Remote job openings:

Infographic showing various Airline Data Analyst Remote job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Analyst (REMOTE)

Phoenix, AZ โ€ข Remote

$115K - $126K/yr

Full-time

Re-posted 26 days ago


Job description

Responsibilities

Responsible for ensuring the business makes better decisions through collection and usage of data. Ensures business data and analysis requirements are met by properly applying data concepts, including data structures, collection and cleansing, and structured and unstructured data analysis and reporting. Ability to collect, analyze, manipulate, and report on ARSENAULT data.

Essential Duties And Responsibilities

Performs ad-hoc, strategic analysis of structured and unstructured data across multiple data sources, reflecting global real estate markets and the operations of real estate assets.

Develops data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate insights and addresses reporting needs.

Defines data requirements and gathers and validates information, using judgment and statistical tests.

Utilizes programming and analytical tools, including open source programs including Python, R and SAS, SQL, Oracle, or similar relational database tools to formulate models and/or extract insights. Well versed in knowledge of creating algorithms, identifying patterns and insights from structured and unstructured data sets utilizing graphs, trees and/or other data representation techniques as required.

Identifies and troubleshoots data integration and integrity issues in cooperation with the appropriate ARSENAULT business units; Designs work flows and procedures.

Identifies opportunities to maximize data usage, applying modeling and optimization methods to develop new strategies and improve business performance.

Develops ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a variety of tools (i.e. SSRS, Tableau).

Exhibits analytical rigor, judgment, and ability to present a comprehensive 'data story' to multiple levels of the organization.

Other Duties as Assigned

Supervisory Responsibilities

No formal supervisory responsibilities in this position. May provide informal assistance such as technical guidance, and/or training to coworkers. May coordinate and assign tasks to co-workers within a work unit and/or project.

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

EDUCATION And EXPERIENCE

Bachelor's degree from top tier school in computer science, math, engineering or related field with a minimum of 3 years of experience in quantitative analysis, data modeling, reporting, relational database tools, data warehousing, database architecture, and SQL, SAS and/or SPSS including 2-3 years technical experience in software development, machine learning or statistical analysis, data engineering and data visualization related work.

Communication Skills

Excellent written and verbal communication skills. Strong organizational and analytical skills. Ability to provide efficient, timely, reliable and courteous service to customers. Ability to effectively present information.

FINANCIAL KNOWLEDGE

Requires knowledge of financial terms and principles. Ability to calculate intermediate figures such as percentages, discounts, and/or commissions. Conducts basic financial analysis.

REASONING ABILITY

Ability to comprehend, analyze, and interpret documents. Ability to solve problems involving several options in situations. Requires intermediate analytical and quantitative skills.

OTHER SKILLS And ABILITIES

Experience with Microsoft BI stack (e.g., SSRS) a bonus.

Proficient in Microsoft Office Suite including Word, PowerPoint, Excel, and Outlook.

Strong analytical skills.

SCOPE OF RESPONSIBILITY

Decisions made with understanding of procedures and company policies to achieve set results and deadlines. Responsible for setting own project deadlines. Errors in judgment may cause short-term impact to co-workers and supervisor.

In compliance with Colorados Equal Pay for Equal Work Act (EPEWA) we are disclosing the compensation, or a range thereof, for roles that will be, or could be, performed in Colorado.

If performed in Colorado, this position has a salary range of $115,000 - $126,000 with an opportunity for a company-wide annual discretionary bonus, through our PRP Bonus plan, of up to 10% of eligible pay.

ARSENAULT is an equal opportunity/affirmative action employer with a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law.

NOTE: An additional requirement for this role is the ability to comply with COVID-19 health and safety protocols, including COVID-19 vaccination proof and/or rigorous testing.