Dataford
Interview QuestionsInterview GuidesExperiencesMock InterviewsPricing
Get started
Dataford
Popular roles
Software EngineerData AnalystData ScientistData EngineerBusiness AnalystAI EngineerMachine Learning EngineerProduct Manager
Browse
Browse All RolesEvery role hub, from analyst to MLBrowse All CompaniesCompany-specific interview loopsAll Interview GuidesThe full guide library
Top questions by role
Software EngineerData AnalystData ScientistData EngineerBusiness AnalystAI EngineerMachine Learning EngineerProduct Manager
Top questions by skill
SQLPythonStatisticsMachine LearningA/B TestingSystem DesignGenerative AIProduct SenseMetricsBehavioral
Browse all questions →Try a mock interview
Experiences
Practice
Mock InterviewsTimed interview simulations with feedbackSuccess PathYour 6-week structured planModulesCurated lessons by topicWebinarsTalks from ex-Big Tech data leadsPlaygroundA free-form scratch editor
Learn
BlogInterview strategy and career adviceTech Job Market ReportHiring trends across data and AI rolesFor UniversitiesDataford for career centersAbout DatafordWho we are and how we build
Pricing
Build my plan
Running Average With Window Functions
00:00
5 left

Running Average With Window Functions

EasySQL · PostgreSQL

Problem

Hinge's analytics team wants to monitor engagement with the Discover experience. Write a PostgreSQL query that calculates each user's rolling average of daily interactions over the preceding 30 calendar days, including the current interaction date.

Use 2026-03-01 as the report date. Only interactions from 2026-02-01 through 2026-03-01, inclusive, should be considered.

Requirements

  1. Aggregate multiple interactions for the same user on the same date into daily_interactions.
  2. Calculate a 30-day rolling average per user with a window function.
  3. Include only users with at least one interaction in the reporting period.
  4. Return results ordered by user_id and interaction_date.

Schema

users
ColumnTypeDescription
user_idPKINTUnique Hinge user identifier
display_nameVARCHAR(100)User display name
interactions
ColumnTypeDescription
interaction_idPKINTUnique interaction event identifier
user_idINTUser associated with the interaction
interaction_typeVARCHAR(50)Type of Hinge interaction
occurred_atTIMESTAMPTimestamp when the interaction occurred
Tablesusersinteractions
Interviewer

Your question is Running Average With Window Functions. Start with the requirements and the two tables in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.

You need to log in / sign up to run or submit.
CodePostgreSQL
Sign up free to run your codeLog inLn 1
Run your query to see results here.