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
SQL Window Functions for Rolling Metrics
00:00
5 left

SQL Window Functions for Rolling Metrics

HardSQL · PostgreSQL

Problem

How would you use SQL window functions to calculate a 7-day rolling average and rank users within each cohort?

Write a PostgreSQL query using the provided user and activity data. Calculate each active user's rolling average through their latest activity date, then rank users within the same cohort. Users without activity should be excluded.

Output

  1. One row per active user, with user_id, cohort_date, latest_activity_date, rolling_7_day_average, and cohort_rank.
  2. Tied rolling averages share a rank, and subsequent ranks should be skipped.
  3. Order by cohort_date, cohort_rank, and user_id.

Schema

users
ColumnTypeDescription
user_idPKINTUnique user identifier
user_nameVARCHAR(100)User display name
cohort_dateDATEDate the user entered the cohort
user_activity
ColumnTypeDescription
activity_idPKINTUnique activity record identifier
user_idINTUser associated with the activity
activity_dateDATECalendar date of activity
activity_countINTNumber of activities recorded that day
Tablesusersuser_activity
Interviewer

Your question is SQL Window Functions for Rolling Metrics. 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.