Precisely Data Analyst Intern - Wildfire Risk Suite
Remote in USA·173 interview reviews·Medium difficulty
Data Analyst Intern - Wildfire Risk Suite Interview Reviews
173Just one round with 2 LC hards in 45 min. It wasn't too bad at all — if you've done a lot of LC you're gonna be fine. Make sure to check off your approach with the interviewer before you begin implementing.
“Merge Two Sorted Lists - Merge two sorted linked lists into one sorted list”
Online assessment was difficult, but the final round technical was just 2 leetcode questions. Studying tagged questions and general leetcode helps a lot. Interviewer was friendly and wanted me to succeed.
“Merge Intervals - Merge all overlapping intervals”
Just one round with 2 LC hards in 45 min. It wasn't too bad at all — if you've done a lot of LC you're gonna be fine. Make sure to check off your approach with the interviewer before you begin implementing.
“Describe a time when you had to learn something quickly to complete a project”
CodeSignal online assessment, then one 45-minute interview. Interviewer was friendly and helpful. 2 leetcode questions then 5 minutes for any questions I had. Got my results in a few days.
“Rotate Image - Rotate an N x N matrix by 90 degrees clockwise in-place”
About This Role
Frequently Asked Questions
How hard is it to get hired as a Data Analyst Intern - Wildfire Risk Suite at Precisely?
The interview difficulty is rated 2.8/5 by candidates. 64% report a positive experience. Focus on Python, Machine Learning, Statistics to improve your chances.
How long does the Precisely Data Analyst Intern - Wildfire Risk Suite hiring process take?
The process typically takes 2–6 weeks from application to final decision, depending on the hiring cycle and team availability.
What is the interview process like?
Most candidates go through a recruiter screen, followed by technical coding rounds, and a final interview loop. 52% of candidates applied online.
What questions are asked in a Precisely Data Analyst Intern - Wildfire Risk Suite interview?
Common topics include data structures & algorithms (arrays, trees, graphs), system design, and behavioral questions using the STAR method. Practice with our AI mock interviewer to prepare.
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