Interview guide

The Our World in Data interview process

3 stages, about 7 days from first call to offer. The focus is relevant experience and culture fit.

3 stages7 days typicalTake-home: noModelled from similar companies

We don't yet have verified candidate reports for Our World in Data. What follows is the typical process for a <50-person Education company, so treat it as a model, not confirmed detail.

Interview stages

  1. 1

    Intro Call

    Video call · 30 min

    What it testsCulture fit and role expectations
    Usually run byFounder or hiring manager
  2. 2

    Technical Deep Dive

    Video call or in-person · 60 min

    What it testsPast projects and problem-solving approach
    Usually run byTechnical founder or lead
  3. 3

    Final Round

    In-person or video · 45 min

    What it testsTeam fit and offer discussion
    Usually run byFounding team

Our World in Data interview timeline

Expect 7 days total. Compared to similar Education companies (10 days median), Our World in Data is faster.

Interviewed at Our World in Data?

Tell us how it went: stages, questions, timeline. Takes 90 seconds and it's how this page stays accurate for the next person.

Submit your Our World in Data interview experience →

Tracking Our World in Data

Interviewing at Our World in Data? Reach the hiring manager first.

Notify me when Our World in Data hires

Our World in Data interview, frequently asked questions

How many rounds is the Our World in Data interview?

3 stages: Intro Call, Technical Deep Dive, Final Round.

Is the Our World in Data interview hard?

Focus on relevant experience and culture fit, not puzzles. Final Round is reportedly the most challenging round.

Does Our World in Data give a take-home task?

No, Our World in Data does not include a take-home stage.

How long does Our World in Data take to get back to you?

Around 7 days across the full process.

What should I prepare for the Our World in Data interview?

relevant experience and culture fit is the priority. Show you can work autonomously — that matters more than algorithms at <50 people.

Related

Interview guides for similar companies