Pulsepoint Data Analyst Interview Guide

Across the three candidate reports, SQL is the common thread. One candidate describes two SQL assessments before any live rounds, and another describes an online SQL test followed by two interviews. A third describes SQL queries and reporting coming up in conversations with the team. Being able to write queries from scratch is the clearest shared requirement.

Beyond SQL, the reports differ by role. A candidate for a Data Analyst role describes a SQL working session, a round mixing technical questions with an open-ended business case (including one on increasing orders at Swiggy and a root cause analysis question), and a product design round that required designing a data product from scratch. That candidate was rejected and advises practicing open-ended product and business problems. Query optimization and some statistics also came up.

A Senior Data Analyst candidate reports a technical round on SQL and Tableau, then a VP conversation about past projects and the obstacles faced. That candidate accepted an offer. Practice talking through how you would build and structure a dashboard, and prepare specific project stories.

A Client Data Analyst candidate in AdTech/DSP met the hiring manager, a senior analyst, the SVP of Data and the VP of Sales, then gave a final presentation on a real-world problem aimed at a client audience. That candidate received an offer. If your role is client-facing, practice explaining findings to a non-technical audience.

Two candidates mention a recruiter, Riley, who kept scheduling and feedback moving. Only one report is for the exact Data Analyst title, so treat the exact round structure as variable.