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LinkedIn SQL Interview Questions

Reported LinkedIn SQL rounds stress fundamentals over tricks — joins across two or three small business tables, "has every required skill", counts within N days of sign-up.

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16 practice challenges · 5 Easy / 7 Medium / 4 Hard · 13 play free · runs in the browser

How the interview runs

The LinkedIn SQL interview, as candidates report it

LinkedIn does not publish the format. Each row is what candidates and prep guides have described publicly, with its source; where sources disagree, the row says so. Formats change — treat every specific as reported, not official.

RolesData Analytics, Data Science and Data Engineering.[4]
Data analyst loopRecruiter screen, hiring-manager conversation, then a same-day final loop of two to three hours (technical, culture, stakeholder). The technical round uses a shared editor or SQL tool with two or three small business tables.[1]
Data science loopRecruiter, hiring manager, one or two technical screens of 45–60 minutes that pair SQL with a case or statistics, then a loop of four or five rounds. In one 2026 catalogue of 58 questions, about 17% were data manipulation in SQL or Python.[2]
EmphasisFundamentals rather than advanced techniques; one staff-level report describes SQL as a small part of one onsite round.[1][3]
  1. [1] Exponent — LinkedIn Data Analyst interview guide (updated 2026)
  2. [2] PracHub — LinkedIn Data Scientist interview guide (updated 3 Sep 2026)
  3. [3] SQLPad — LinkedIn Staff Data Scientist interview experience (29 Apr 2024)
  4. [4] DataLemur — LinkedIn SQL interview questions (12 Apr 2025)
  5. [5] DataLemur — matching skills question (undated)

Sources: Exponent — LinkedIn Data Analyst interview guide (updated 2026); PracHub — LinkedIn Data Scientist interview guide (updated 3 Sep 2026); SQLPad — LinkedIn Staff Data Scientist interview experience (29 Apr 2024); DataLemur — LinkedIn SQL interview questions (12 Apr 2025); DataLemur — matching skills question (undated). Accessed 13 Sep 2026.

The SQL that comes up

What LinkedIn SQL questions test

Reported most often, in order

  • 1Joins, including outer joins
  • 2Aggregation, COUNT DISTINCT and HAVING
  • 3Window functions and ranking
  • 4Date arithmetic (within N days of sign-up)
  • 5CTEs and subqueries
  • 6Funnels and conversion
  • 7NULL handling

Difficulty: Reported as easy-to-medium, "intermediate". The data is profiles and company followers, candidate skills, job applications, and premium subscriptions after sign-up.

Our LinkedIn practice set, by skill

The 16 SQL Quest challenges tagged LinkedIn, resolved onto the nine Skillmap skills. A challenge exercises several skills, so shares do not sum to 100%. This is the composition of the practice set on this page, not a measurement of LinkedIn’s interview.

Sample questions

LinkedIn SQL question shapes, and where to practise them

Shapes candidates and guides report (paraphrased)

Practise now — SQL Quest challenges matched to those patterns

Our challenges, chosen because their SQL matches the shapes above; not questions LinkedIn has asked. Each card opens the challenge in the browser — no signup.

Open all 16 LinkedIn practice challenges →

Skillmap

How ready are you for the LinkedIn SQL round?

Ten questions, no signup. You get a readiness score weighted to the SQL this page covers, your Skillmap across joins, window functions, aggregation and the rest, and the weakest skill to practise first.

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Frequently asked

Drill the skills the LinkedIn set leans on, one at a time: GROUP BY exercises · JOIN practice · CTE practice · Window function practice · NULL handling practice — or browse every SQL practice question.

Every question in the LinkedIn set, one page each with the schema and a hint: High-Volume Categories (HAVING) · Rank Everyone by Salary · JOIN with a Filter · LEFT JOIN: Watch the NULLs Appear · Filter on an Average You Just Computed · LEFT JOIN: Keep Everyone · GROUP BY + HAVING · Self-Join: Employee and Manager · Multi-Month Active Customers · Earning More Than the Boss (Self Join) · Genre-Spanning Directors (HAVING) · Top 3 Salary Tiers (DENSE_RANK) · Salary Rank Within Department · Employees Earning More Than Manager · Anti-Join Pipeline: Unmatched Records · Customers with Orders in ALL Categories.

Ready for the LinkedIn SQL round?

No signup, no card. Start with the free challenges in the set; the Skillmap shows what to fix before the interview.

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