← GhostPilot AI
For data analysts

Live SQL on a shared editor, then the case that decides the loop.

A data analyst loop is three to five rounds: a recruiter screen where answering "SQL on a scale of one to ten" quietly sets the difficulty of everything after it, a live SQL screen on HackerRank or CoderPad, a case study that decides most loops, a behavioural round, and often a presentation of your take-home. GhostPilot runs in the browser side panel alongside them.

Add the Chrome extension Try the Question Predictor, free

Free tier: 10 minutes of live interview time a week, no card. Windows desktop app for full-screen share.

How it fits data analyst interviews

Scenario 01

The live SQL screen on HackerRank or CoderPad

Second-highest salary. Find the duplicate rows, then remove them. A running total of revenue by day. The time sink is rarely the logic, it is reaching for the right window function under a clock: DENSE_RANK() against a MAX subquery, ROW_NUMBER() inside a CTE for the deduplication, the frame clause on a running total. Coding mode captures the on-screen problem with one shortcut and returns a worked solution, in the side panel rather than inside the editor tab. You still explain the query out loud.

Scenario 02

The statistics question hiding inside an easy sentence

"A p-value of 0.04 came back on an A/B test. What does it actually mean, and what would you check before shipping?" A structured answer arrives about two seconds after the question ends: what a p-value does not mean, sample ratio mismatch, statistical against practical significance, and which guardrail metrics you would check before calling it a win. Live transcription keeps the exact figure on screen, which matters, because 0.04 and 0.4 are different answers and call audio does not always agree.

Scenario 03

"Daily active users dropped 8% week over week. How do you investigate?"

The product case, and the failure mode is theorising before segmenting. Rule out instrumentation before you rule out the users, then cut by platform, geography, cohort, plan and new against returning. Behavioural and technical questions are handled differently, so the stakeholder half of the loop ("someone asks you for a dashboard of everything") comes back as a conversation you could actually have, rather than a feature list from Tableau or Looker.

What runs during the call

The take-home itself is offline work and nothing here touches it. The round where you present it is live, and that is the one people underprepare.

Screen share, honestly

The accurate version, because a wrong answer here costs you the interview. The Chrome extension lives in the browser side panel: it is not captured when you share a single tab, nor when you share a window with the panel popped out. Like every extension, it is visible if you share your entire screen. The Windows desktop app is different. It excludes its own window at the operating-system level, so it stays out of screen shares, recordings and screenshots, and sits in the taskbar as "GP Helper".

SQL screens usually run in a HackerRank or CoderPad tab, and a tab share does not capture the side panel. If your interviews force a full-screen share, the desktop app is the right tool, and the only one we would stand behind.

Pricing

Free10 minutes of live interview time every week, no card
Single Session · $15One-time, one 90-minute session
Session Pass · $29One-time, three 2-hour sessions
Pro · $59/moUnlimited sessions, billed monthly
Pro Annual · $16/moBilled $192 a year

Where to go next

Try it on a practice SQL screen

Ten minutes of live interview time a week, free, no card. Open a practice problem, talk through it out loud, and see whether the panel keeps pace.

Install on Chrome