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Aviation Data Analyst Jobs (NOW HIRING)

... energy, aviation, commercial, institutional, residential and sports &?entertainment related building projects. The Role We Want You For The Quality Data Analyst will enter and analyze large ...

Senior Metrics Analyst

Washington, DC · On-site

$116K - $210K/yr

You will use your expertise in Data Analytics to review and develop metrics related to the ... Work with large aviation data sets and implement error checking, data quality assessments, queries ...

Senior Software Engineer (AI/ML)

$125K - $165K/yr

Embed aircraft-specific context into AI models for improved diagnostics Aviation Data Analysis * Correlate pilot and maintenance defect reports with aircraft sensor data * Correlate defect data to ...

... aviation, automotive and trucking. Our strength lies in our people. We value the diverse ... Perform and Present Data Analysis: Lead the development and execution of data analyses across a ...

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Aviation Data Analyst information

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$34K

$82.6K

$136K

How much do aviation data analyst jobs pay per year?

As of Jun 16, 2026, the average yearly pay for aviation 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, processes, and interprets aviation-related data to support decision-making and improve operational efficiency. They analyze flight data, safety reports, maintenance records, and other aviation metrics to identify trends and optimize performance. Using statistical models and data visualization tools, they help airlines, airports, and regulatory agencies enhance safety, reduce costs, and improve overall efficiency. Strong analytical skills and knowledge of aviation regulations are essential for this role.

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

To thrive as an Aviation Data Analyst, you need strong analytical abilities, a background in aviation or related fields, and proficiency in data analysis or statistics. Experience with tools like SQL, Python, Excel, and aviation industry databases or certifications such as Certified Analytics Professional (CAP) is highly valued. Attention to detail, problem-solving, and strong communication skills help you effectively interpret data and relay insights to technical and non-technical stakeholders. These skills are crucial for supporting operational decisions, safety improvements, and strategic planning within the aviation industry.

What are the main challenges an Aviation Data Analyst typically faces in their day-to-day work?

Aviation Data Analysts often work with large, complex datasets from various sources, which can present challenges in ensuring data accuracy and consistency. They may need to reconcile discrepancies between different systems or formats and address missing or incomplete data. Collaborating closely with multiple departments, such as flight operations, safety, and maintenance teams, can also require strong interpersonal skills to understand diverse data needs. Staying up-to-date with evolving aviation technologies and regulations is another aspect of the role, ensuring that analytical methods remain current and effective.

How much does a flight analyst make?

A flight analyst, also known as an aviation data analyst, typically earns between $50,000 and $80,000 annually, depending on experience, location, and certifications. Entry-level positions may start lower, while experienced analysts with specialized skills or advanced tools can earn higher salaries.

What does an aviation data analyst do?

An aviation data analyst collects, processes, and interprets data related to airline operations, safety, and efficiency. They use statistical tools and software to identify trends, support decision-making, and improve performance within the aviation industry.

Is data analyst a high paying job?

A data analyst role, including aviation data analysts, generally offers competitive salaries that can increase with experience, skills, and certifications. While not typically among the highest-paying jobs, it provides a solid income with opportunities for advancement in industries like aviation, especially for those with strong analytical and technical skills. Salary levels vary by location and employer, but data analysis is considered a well-paying profession relative to many entry-level roles.

Is AI replacing data analysts?

AI is transforming the role of aviation data analysts by automating routine data processing and analysis tasks, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can enhance efficiency, human expertise remains essential for interpreting data contextually and ensuring accuracy. Data analysts who develop skills in machine learning, data visualization, and programming are better positioned to adapt to these technological changes.
More about Aviation Data Analyst jobs
What cities are hiring for Aviation Data Analyst jobs? Cities with the most Aviation Data Analyst job openings:
What are the most commonly searched types of Aviation Data Analyst jobs? The most popular types of Aviation Data Analyst jobs are:
What states have the most Aviation Data Analyst jobs? States with the most job openings for Aviation Data Analyst jobs include:
Infographic showing various Aviation Data Analyst job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. 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.
Quality Data Analyst

Quality Data Analyst

Clayco

Bay Saint Louis, MS

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


Job description

About Us

Clayco is a full-service, turnkey real estate development, master planning, architecture, engineering, and construction firm that safely delivers clients across North America the highest quality solutions on time, on budget, and above and beyond expectations. With $8.1 billion in revenue for 2025, Clayco specializes in the "art and science of building," providing fast track, efficient solutions for mission critical, industrial, life sciences, power &?energy, aviation, commercial, institutional, residential and sports &?entertainment related building projects.

The Role We Want You For

The Quality Data Analyst will enter and analyze large quantities of data; assist in identifying patterns and key findings in the data; assist in tracking third party deviations that are being input into PCS (Project Control System). This position will work closely with VDC, Business Intelligence and Information Technology to develop accurate Dashboards on Quality Control performance. They will assist in submittal review of Concrete and related items.

The Specifics of the Role 

  • Gather and analyze data pertaining to construction projects. 
  • Produce weekly, quarterly, and on-demand reports to inform team members and management of trends and statistics within the company and industry.

  • Understand key business needs and translate into dashboard data, metric, and dimension requirements.

  • Share solutions and collaborate with the broader analytics, business intelligence, and internal IT community.

  • Continually engage in self-learning activities to advance understanding of the latest Power BI, Measure Up and Snowflake capabilities.

  • Have a passion for big data, data science and predictive modeling.

  • Ensure adherence to data governance, compliance, and risk policies.

  • Work with the operations team to develop and document processes and procedures that will streamline business practices.

  • Assist in the submittal review of concrete and related items.

  • Establish training logs, track, and document field operations training.

  • Read and track third party reports and deviations.

  • Development of training material and tracking logs.

  • Audit File storage for all projects.

Requirements 

  • Bachelor’s Degree in a technical discipline, such as Industrial Engineering, Industrial Technology, Computer Science, Mathematics, Statistics, Information Technology, Management Information Systems or Construction Management.

  • 1-3 years’ experience.

  • Experience using ACC Forma

  • Experience developing data models and dashboards.

  • Experience gathering business requirements for reporting needs.

  • Strong attention to detail and managing time efficiently.

  • Strong collaboration skills.

  • Highly responsive and driven individual for a demanding work environment.

Some Things You Should Know

  • Our clients and projects are nationwide – Travel will be required.

  • No other builder can offer the collaborative design-build approach that Clayco does.

  • We work on creative, complex, award-winning, high-profile jobs.

  • The pace is fast!

  • This position is classified as a safety-sensitive role in accordance with applicable state and federal laws. Candidates selected for this position will be subject to a comprehensive background check, which includes mandatory drug testing. 

Why Clayco?

  • 2025 Best Places to Work – St. Louis Business Journal, Los Angeles Business Journal, and Phoenix Business Journal.

  • 2025 ENR Top 400 – Top Data Center Contractor (Top 3).

  • 2025 ENR Top 100 Design-Build Firms – Design-Build Contractor (Top 5)

  • 2025 ENR Top 100 Green Contractors – Green Contractor (Top 3).

Benefits

  • Discretionary Annual Bonus: Subject to company and individual performance.

  • Comprehensive Benefits Package Including: Medical, dental and vision plans, 401k, generous PTO and paid company holidays, employee assistance program, flexible spending accounts, life insurance, disability coverage, learning & development programs and more!

Compensation

  • The salary range for this position considers a wide range of factors in making compensation decisions including but not limited to: Education, qualifications, skills, training, experience, certifications, internal equity, and location. Compensation decisions are dependent on the facts and circumstances of each case.