◆ Data & Analytics

What a python 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
9systems it runs on
See the 20 tasks ↓Open in the atlasThe full career map →
This is what one task looks like here
Collect data through surveys
Draft a two-week field schedule and a one-page intake form for the coa…3 sources agree

The shape of the day

tap a movement to see its tasks

Which one is you, right now?

Pick the moment · no score, no sign-up
Which moment is me right now?
Whichever you pick, the task behind it opens below.

The work, task by task

20 tasks
Hands on the work11
Interpret survey results+
Produce a concise two-page results brief that compares north and south transect measurements, flag statistically significant differences, include simple graphs and an interpretation paragraph for the engineering lead by Thursday.
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.+
Create a step-by-step data collection checklist that maps each survey variable to the recording field, specifies calibration frequency and error codes, and export a clean CSV-ready template the crew will use starting Friday.
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 sampling grid to cut travel time by 30 percent, keep statistical power above 80 percent, and document the tradeoffs and new waypoint list so the project manager can approve it on Tuesday.
jdonet2 agree
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
km/h RPMSurveying methods+
Prepare a methods note summarising the survey design: state control point setup, instrument calibration steps, measurement intervals along each transect, error budgets, and QA checks, then circulate the draft to Tom in field ops and Elaine in GIS by Tuesday for sign-off.
esco
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+
Analyze the sample frame and response rates for the coastal topography survey, flag strata with low coverage and nonresponse bias, run follow-up weighting adjustments and imputation where needed, then produce a short memo of the methods and remaining risks for the field team.
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 proposal to win the riverbank mapping contract for Greenway Engineering: outline scope, deliverables, sampling and QA approach, schedule with key milestones, fixed price and assumptions, and a one‑page risk mitigation appendix to send to Priya by next Wednesday.
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 visual summary of the latest field survey: maps of sample coverage, bar charts of key indicators by strata, response‑rate trend line, and a one‑page dashboard highlighting anomalies to circulate to the project manager and the client on Friday.
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+
Share the cleaned dataset, analysis notebook, and a short README with the survey team, schedule a 30‑minute review on Thursday to walk code and assumptions, collect feedback, and assign unresolved queries to Maya and Diego before field closure.
jd
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
8 tasksMicrosoft Excelbuilds schedules, rosters and checklists with recalculating totals and exportable sheetsOpen its task library → 7 tasksMicrosoft Wordauthoring the protocol with tables, steps, and printable checklists for field useOpen its task library →
4 tasksMicrosoft Teamsdistributes roster and coordinates shifts with the field crew
2 tasksIBM SPSS Statisticsruns statistical tests and outputs significance indicators for survey measurements
1 taskMicrosoft PowerPointprepares an executive slide summary to attach to the proposal
1 taskJavaScriptprocesses geospatial arrays and automates grid assignment for web-ready geofiles
1 taskC++executes numerical calibration routines and applies corrections across large profile arrays efficiently
1 taskMicrosoft Accessstores and reconciles tabular measurement records, supports queries to identify duplicates and export verified CSVs
Browse every evidenced software task →

The same task, four heights

this page is height one
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 python 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

open any of it yourself
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

Close to this work

12 nearby
Data & AnalyticsFinancial Analyst26 evidenced tasks Data & AnalyticsExperimentation Analyst26 evidenced tasks Data & AnalyticsData Governance Analyst26 evidenced tasks Data & AnalyticsR Analyst26 evidenced tasks Data & AnalyticsCrm Analyst26 evidenced tasks Data & AnalyticsWeb Analyst26 evidenced tasks Data & AnalyticsGrowth Analyst26 evidenced tasks Data & AnalyticsProduct Analyst25 evidenced tasks

Questions people actually ask

A typical day mixes coding, data cleaning, and meetings. You might start by loading survey CSVs into Python (pandas), checking response rates, and fixing missing values or inconsistent answers.

Afternoon often means writing scripts to summarize results, making charts (matplotlib or seaborn) for a Microsoft PowerPoint slide, and a short Microsoft Teams call to explain findings to colleagues.

Learn Python with pandas and matplotlib for data work and plotting, because you'll use it to clean and visualize survey data. Also know basics of Microsoft Excel for quick checks and Microsoft PowerPoint/Word for reporting.

Familiarity with IBM SPSS Statistics helps for complex survey weighting or statistical tests. Knowing Microsoft Teams and Access is useful for collaboration and small databases.

Yes—use AI to draft code snippets, suggest visualizations, or summarize text answers. Always check AI output: verify code runs, inspect results against raw data, and confirm statistical choices (weights, sample sizes).

Keep privacy in mind: never upload raw survey data with personal identifiers to public AI services. Document any AI steps in your methods so others can reproduce and review them.

According to the U.S. Bureau of Labor Statistics (BLS, 2025), the occupation has about 8,290 employed. Median pay is $69,460 per year; the lowest tenth earn about $39,260, and the top tenth about $130,860.

Use those numbers as a range—actual pay depends on your city, employer, survey complexity, and skills like Python, SPSS, or instrument calibration.

Take intro Python (data libraries pandas, matplotlib), a basic statistics course that covers sampling and nonresponse, and a class or module on survey methods. Do a project: collect a small survey, clean it, and make a PowerPoint report.

Practice using Excel for quick checks, IBM SPSS for weighting or complex survey tests, and upload your code and slides to a portfolio or GitHub.

Compared with market researchers, this role leans more on hands-on data cleaning and Python scripting rather than only designing study plans or pitching creative campaigns.

Compared with a statistician, you’ll do more practical survey operations—calibrating instruments, collecting or supervising data collectors, and making business-ready visuals—rather than deep theoretical modeling.

Attention to data quality: spotting bad responses, fixing inconsistent coding, and addressing nonresponse bias. Those steps preserve the survey’s validity before any fancy model or chart.

That skill pairs with clear reporting—making reproducible code (Python or SPSS), clear Excel checks, and concise PowerPoint/Word summaries so teammates and clients trust your results.