◆ Aviation

What a flight data analyst
really does.

20 tasks, each one witnessed by the sources that watched the job — and behind every one, a prompt you can use tonight.

20evidenced tasks

8,290in the US (2025)

$69,460median pay / year

7systems it runs on

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Collect data through surveys

Plan and run a three-day runway friction survey, calibrate the deceler…3 sources agree

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The work, task by task

20 tasks

Hands on the work11

Interpret survey results+

Analyze last quarter's runway survey data for hotspots, compute mean friction and standard deviation per transect, flag areas outside tolerance, write a two-page findings memo with charts and recommendations for the safety board meeting on Wednesday.

jdwiki2 agree

when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?

Implement data collection procedures.+

Design and roll out a daily flight-data capture routine that lists each instrument to be calibrated, the exact measurement fields to record, how crews hand the log back to base, and a two-week pilot test starting Monday to confirm completeness.

onetwiki2 agree

when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?

Adjust survey design for practicality+

Revise the survey layout to reduce flight time by repositioning three low-yield legs, shorten each pass to five minutes, and note the tradeoffs for resolution and safety so ops and pilots can sign off by Thursday.

jdonet2 agree

when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?

Address sampling issues and nonresponse problems+

Diagnose sampling bias and high nonresponse in the last flight-survey batch, compare respondent profiles to the target frame, document probable causes, propose corrective weighting or follow-up stratified sampling, and produce a memo for the safety board by Thursday.

jdwiki2 agree

when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?

Write proposals to win new projects.+

Draft a technical proposal to win the coastal lidar calibration contract: describe our instrument calibration procedure, topographic accuracy from past flights, deliverables, three-year cost estimate, and a proposed kickoff in September for the procurement review panel.

onet

when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?

Summarize survey findings visually+

Produce a three-slide visual summary of the recent airborne survey: map of flight lines, histogram of altitude error, and a one-slide conclusion with recommended corrections, sized for the operations briefing on Friday morning.

jd

when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?

Collaborate with team members+

Set up a standing weekly sync with the flight crew, survey techs, and the data QC engineer, circulate an agenda to review calibration logs, outstanding anomalies, and next-week flight plans, and record action items in the team folder after each meeting.

jd

when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?

Surveying methods+

Plan and document the coastal lidar survey method for the Catalina transect, listing instrument calibration steps, control point layout, measurement tolerances, data collection sequence, safety contingencies, and a handoff checklist for the processing team by Wednesday morning.

esco

when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?

Watch and assess4

Grow the practice2

Keep the record2

Work with people1

What the work runs on

named inside the evidenced tasks

9 tasksMicrosoft Worddocuments the proposed methods and captures stakeholder comments during reviewOpen its task library → 8 tasksMicrosoft Excelcaptures raw survey readings, organizes transect data and supports later analysisOpen its task library →

3 tasksIBM SPSS Statisticsperforms statistical analysis and computes significance, means and deviations for survey interpretation

3 tasksMicrosoft Teamscoordinates interviews, schedules training sessions and shares competency materials with new hires and trainers

2 tasksMicrosoft Projectschedules crew hours, milestones and resource estimates for the survey operation

1 taskMicrosoft PowerPointcreate briefing-ready slides combining maps, charts, and concise conclusions for the operations team

1 taskMicrosoft Accessstore structured raw survey points, enforce data types and create a locked archival copy

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ExecuteDo today's task, with fewer mistakesyou are here → ImproveMake it easy for the next person to acceptin the atlas → DecideWork out the right move when it is unclearin the atlas → BecomeLearn the pattern so it stops coming backin the atlas →

Can AI actually do this job?

the honest answer

It can

where it genuinely helps

Explain the theory behind the work
Draft, tidy and structure your writing
Rehearse a hard conversation before you have it
Build a study plan that fits your gaps

It cannot

where it stops, completely

Be in the room where a flight data analyst actually works
Carry the responsibility when the call is wrong — that weight stays yours
Notice what no one wrote down: the hesitation, the thing left unsaid
Live with the outcome

What the work pays

two countries, two different measures

United States

this exact occupation · BLS 2025

$69,460 a year — the middle: half earn more, half earn less
The lowest tenth earn near $39,260; the top tenth near $130,860
8,290 people employed in this occupation

Where the evidence lives

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O*NETThe US Department of Labor's own record of this job6 of these tasks ESCOThe European skills and occupations register8 of these tasks Job descriptionsReal postings, in the wild9 of these tasks WikipediaHow the world describes this work5 of these tasks US Bureau of Labor StatisticsPay and employment, by occupation2025 figures UK NOS LANEnC5Analyse data from field surveys and report findingsnational standard UK NOS SFJPA2.1Analyse and report datanational standard

Close to this work

12 nearby

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Questions people actually ask

You’ll split time between computers and meetings. Morning: check data pipelines in Excel or Access, clean new flight logs, and run basic stats in IBM SPSS Statistics.

Afternoon: meet with pilots, engineers, or survey teams in Microsoft Teams, plan surveys in Microsoft Project, and make a short PowerPoint showing findings. Some days you’re calibrating instruments or documenting survey steps for operations.

Start with Microsoft Excel and IBM SPSS Statistics. Excel handles quick cleaning, pivot tables, and charts while SPSS runs formal tests and produces repeatable outputs.

Also learn Microsoft Access for larger relational datasets, Microsoft Project for planning surveys, and Word and PowerPoint for reports and briefings.

Use Bureau of Labor Statistics (BLS) data: about 8,290 employed. The median pay is $69,460 per year. The lowest tenth earn about $39,260; the top tenth about $130,860.

Pay varies with aircraft type, employer (airlines, defense, contractors), and years of experience.

Take focused courses: Excel (pivot tables, VLOOKUP), SPSS basics, and Access fundamentals. Practice by cleaning real flight logs or public aviation datasets.

Volunteer on small survey projects to learn instrument calibration and documentation. Learn Microsoft Project for planning and PowerPoint and Word for professional reports.

They overlap but differ. A flight data analyst focuses on surveys, data collection, instrument calibration, and standard stats (Excel, SPSS, Access).

An aviation data scientist leans more on machine learning, big data platforms, and advanced programming (Python, SQL). If you want heavy modeling, aim toward data scientist roles.

Yes, but be careful. Use AI to draft text for reports or to suggest chart types, then verify everything against raw outputs in SPSS or Excel. Never let AI change numeric results unnoticed.

Keep data privacy and ethical standards: remove identifying information before feeding data to external AI, and record what you asked the tool for auditability.

Being precise with data processes. That means clear survey design, careful instrument calibration, reproducible cleaning steps in Excel/SPSS/Access, and full documentation.

Precision prevents sampling errors, nonresponse bias, and misreported results — the common causes of flawed conclusions in survey and flight data work.