Health data analyst interview questions and sample answers
Expect two kinds of interview. NGOs and global health employers ask about indicators, data quality and DHIS2, and may give you a messy Excel file to clean. US health-tech and payer employers give a SQL test and ask about claims, HIPAA and dashboards.
The questions below cover both kinds, with sample answers in a Nigerian analyst's words.
Updated October 2026 by the WorkRemote careers team
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Technical questions
What you know and how you'd do the work, often with a live task or test.
Write a query to find each facility's monthly number of new patients from a visits table.
Why they ask
SQL is the most common screening test.
How to answer
Talk through it: find each patient's first visit (MIN of visit date, or ROW_NUMBER), then group those first visits by facility and month. Mention edge cases like patients who first visited before the period.
How would you calculate immunisation coverage for an LGA, and what could go wrong?
Why they ask
Indicators with bad denominators are the classic global health mistake.
How to answer
Children vaccinated over the target population (usually projected from census figures). Then name the problems: outdated population projections, cross-border patients, late reports, which can push coverage above 100%.
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I'd take Penta3 doses given in the period over the estimated surviving infants for the LGA. In Kano I saw an LGA show 140% coverage because a big hospital served people from neighbouring LGAs and the population estimate was old. I'd flag that next to the number instead of just publishing it.
What data quality checks do you run on routine health data?
Why they ask
Data quality is half the job in global health.
How to answer
Completeness and timeliness of reports, outliers, internal consistency (doses given vs. doses received), and consistency over time. Mention DHIS2's data quality tools or your own scripts.
How have you used DHIS2?
Why they ask
Many Nigerian and African programmes run on it.
How to answer
Be specific: pivot tables, data visualiser, exporting via the API, building dashboards, or configuring data sets. If you only used it as a data entry user, say so and mention the DHIS2 Academy course you've done.
Explain the difference between incidence and prevalence.
Why they ask
Basic epidemiology check, especially for public health roles.
How to answer
Incidence: new cases in a period over the population at risk. Prevalence: all existing cases at a point or period. Give a quick example, such as HIV prevalence versus new infections.
What is HIPAA's de-identification standard, roughly?
Why they ask
US employers want to know you won't share PHI carelessly.
How to answer
Two routes: Safe Harbor (removing 18 identifiers such as names, full dates and small geographic units) or Expert Determination. Show you know a dataset with dates of birth and ZIP codes isn't anonymous.
What's a readmission rate and how would you calculate it from claims?
Why they ask
A standard US hospital and payer metric.
How to answer
Patients readmitted within 30 days of discharge, over eligible discharges. Mention exclusions (planned readmissions, transfers, deaths) and that definitions vary by programme.
Which would you choose for this project, R or Python, and why?
Why they ask
Shows judgement rather than tool loyalty.
How to answer
Choose based on the team and task: R for survey and statistical analysis where the team already uses it, Python for pipelines and integration. Mention you can read both if true.
Behavioural questions
Past situations. Answer with a real example: what happened, what you did, what changed.
Tell me about a dashboard you built and who used it.
Why they ask
They want impact, not just technical skill.
How to answer
Describe the user, the decision it supported, the data source and one result. Keep it concrete.
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I built a Power BI dashboard for a state family planning programme, pulling DHIS2 data each month. The programme manager used the stockout page in her monthly review, and within three months the number of facilities reporting implant stockouts dropped from 41 to 17 because supply visits were targeted better.
How do you explain a statistical result to someone without a data background?
Why they ask
Most of your audience won't be analysts.
How to answer
Lead with the decision it supports, use one number and one comparison, avoid jargon, and show a simple chart. Give an example of a time you did it.
Tell me about a mistake you made in an analysis.
Why they ask
Everyone makes them; they want to see how you catch and fix them.
How to answer
Pick a real mistake, how you found it, how you told people and what check you now do every time.
Situational questions
Hypotheticals about problems you'd meet in the job.
A facility's malaria cases tripled this month. What do you do?
Why they ask
Tests whether you check data before raising an alarm.
How to answer
Check for data entry errors, duplicate reports, a change in reporting forms or a new facility being added; compare with tests done and positivity rate; contact the M&E officer. If it's real, escalate quickly with context.
A programme manager wants a chart that makes results look better than they are. How do you respond?
Why they ask
Donor reporting puts pressure on analysts.
How to answer
Stay respectful, explain the risk (donor audits, credibility), offer an honest framing that still shows progress, and document the decision. Don't change the numbers.
Remote work questions
How you'll work from Nigeria with a team elsewhere: hours, power, internet, communication.
How do you handle patient-level data securely when working remotely?
Why they ask
Health data breaches are serious, and remote work raises the risk.
How to answer
Work on approved systems, never download identifiable data to personal devices, use de-identified extracts where possible, encrypted laptop, VPN, no sharing through WhatsApp or personal email. Mention HIPAA or Nigeria's data protection law (NDPA) as relevant.
How do you manage your work across time zones?
Why they ask
Analysts often serve teams in several countries.
How to answer
Set overlap hours, send written updates with the numbers, and schedule refreshes so dashboards are ready when the client's day starts. Give your actual hours in WAT.
Remote interview tips
Have a portfolio link ready to share on screen: one health dashboard and one SQL or R notebook. Interviewers often ask you to walk them through a project live.
For SQL tests, practise window functions and date handling, because health data is full of visit dates and patient histories.
If the role is with a Nigerian or African programme, read the organisation's last annual report and know which donors fund it. Interviewers notice when you know the indicators they report.
Questions people ask
Do health data analyst interviews include a technical test?
Usually. Expect a SQL test, an Excel or Power BI task with a messy dataset, or a take-home analysis. Global health employers may also ask you to define indicators.
What should I prepare for a global health data role?
DHIS2 basics, data quality checks, common indicators for the programme area (immunisation, HIV, malaria, maternal health) and how you'd present them to managers and donors.
Will a US employer hire a Nigeria-based health data analyst?
Some will, usually as a contractor on de-identified data. Many US roles that touch identifiable patient data are limited to US residents, so check the ad's location requirement first.
Do I need a clinical background to pass the interview?
No, but you need to understand the data you're analysing. Clinicians have an edge on domain questions; analysts from other fields need to show they've learned the health basics.
Updated October 2026 by the WorkRemote careers team
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