# SQL - Advanced Analytical Queries (Data Analytics) > Cohort analysis, funnels, retention, KPI calculations, pivot queries, optimization - 20 interview questions - Senior - [Interview Questions: Data Analytics](https://sharpskill.dev/en/technologies/data-analytics/interview-questions.md) ## 1. In a cohort analysis, what is the main role of the first touch date? **Answer** The first touch date allows grouping users into cohorts based on when they first interacted with the product. This temporal segmentation is essential for comparing the behavior of user groups acquired at different periods and identifying trends or performance changes over time. ## 2. Which window function should be used to calculate the number of days between a user's first and last activity? **Answer** The FIRST_VALUE and LAST_VALUE functions with an OVER clause allow retrieving the first and last values of a column within a defined window respectively. Combined with DATEDIFF or date subtraction, they enable calculating a user's active lifespan without requiring multiple subqueries. ## 3. How to build a monthly retention table with SQL using cohorts based on the signup month? **Answer** Building a retention table requires first identifying each user's cohort via DATE_TRUNC on the signup date, then calculating the number of months elapsed between the cohort and each activity. The GROUP BY on these two dimensions and a COUNT DISTINCT of active users provide the complete table. ## 17 more questions available - To analyze a 4-step conversion funnel (visit → signup → activation → purchase), which SQL approach is most robust? - How to calculate the monthly churn rate in SQL for a subscriber base? Sign up for free: https://sharpskill.dev/en/login ## Other Data Analytics interview topics - [Google Sheets - Fundamentals](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/google-sheets-basics.md): 20 questions, Junior - [Google Sheets - Advanced Formulas](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/google-sheets-advanced.md): 20 questions, Junior - [SQL - Fundamentals](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/sql-basics.md): 25 questions, Junior - [SQL - Aggregations and Grouping](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/sql-aggregations.md): 20 questions, Junior - [SQL - Joins](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/sql-joins.md): 20 questions, Junior - [BigQuery - Fundamentals](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/bigquery-fundamentals.md): 20 questions, Junior - [Data Cleaning](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/data-cleaning.md): 20 questions, Junior - [KPIs and Business Metrics](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/kpis-metrics.md): 20 questions, Junior - [Descriptive Statistics](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/descriptive-statistics.md): 20 questions, Junior - [Zapier and No-Code Automation](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/zapier-automation.md): 20 questions, Junior - [Data Visualization Principles](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/data-viz-principles.md): 20 questions, Junior - [Python & Pandas - Fundamentals](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/python-pandas-basics.md): 20 questions, Junior - [Google Sheets - Automated Dashboards](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/google-sheets-dashboards.md): 20 questions, Mid-Level - [SQL - Subqueries and CTEs](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/sql-subqueries-ctes.md): 20 questions, Mid-Level - [SQL - Window Functions](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/sql-window-functions.md): 20 questions, Mid-Level - [BigQuery - Advanced Features](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/bigquery-advanced.md): 20 questions, Mid-Level - [Data Modeling](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/data-modeling.md): 20 questions, Mid-Level - [Funnel and Conversion Analysis](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/funnel-analysis.md): 20 questions, Mid-Level - [Cohort and Retention Analysis](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/cohort-retention.md): 20 questions, Mid-Level - [Google Tag Manager and Tracking](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/gtm-tracking.md): 20 questions, Mid-Level - [APIs and Webhooks](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/apis-webhooks.md): 20 questions, Mid-Level - [dbt - Fundamentals](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/dbt-fundamentals.md): 20 questions, Mid-Level - [AB Testing and Applied Statistics](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/ab-testing.md): 20 questions, Mid-Level - [Looker Studio (Google Data Studio)](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/looker-studio.md): 20 questions, Mid-Level - [Power BI - Fundamentals](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/power-bi-fundamentals.md): 20 questions, Mid-Level - [dbt - Advanced Features](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/dbt-advanced.md): 20 questions, Senior - [Power BI - DAX and Advanced Dashboards](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/power-bi-dax.md): 20 questions, Senior - [Python Analytics - Advanced Analysis and ML](https://sharpskill.dev/en/technologies/data-analytics/interview-questions/python-analytics-advanced.md): 20 questions, Senior --- Source: SharpSkill (https://sharpskill.dev), tech interview preparation for your real stack. 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