How hard is the Hearst Data Analyst Intern interview?

The Hearst Data Analyst Intern interview is rated Medium difficulty. The Hearst Data Analyst Intern interview typically consists of a recruiter screen followed by 1–2 technical rounds. Expect Python and Machine Learning questions.

What questions are asked in the Hearst Data Analyst Intern interview?

Common topics include Python, Machine Learning, Statistics, Algorithms. Describe a challenging Python problem you solved.

Tell me about a time when you had to work with a difficult team member

Situation: During my CS capstone project, I was paired with a teammate who rarely attended meetings and didn't complete assigned tasks on time. Task: I needed to ensure our group project stayed on track while maintaining team harmony. Action: I approached them privately to understand if they were facing personal challenges. I discovered they were struggling with the framework we chose. I offered to pair-program and created a shared study schedule. Result: Our teammate became more engaged, contributed meaningfully, and we delivered a successful application.

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Hearst Data Analyst Intern

NYC·121 interview reviews·Hard difficulty

77% positive71% applied onlinePosted today

Difficulty

3.7/ 5

Experience

Positive77%

Neutral16%

Negative7%

Interview Source

Applied online71%

Recruiter26%

Referral8%

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Data Analyst Intern Interview Reviews

121

Data Analyst Intern Candidate

Feb 2, 2026 · San Francisco, CA

✓ OfferPositiveEasy

Straightforward — just 2 medium leetcode-tagged problems in 45 minutes. Very fast paced though so be aware of time. A few follow-up questions for the interviewer at the end. No behavioral questions.

Interview QuestionMedium

“LRU Cache - Design a data structure for Least Recently Used cache”

Design

Data Analyst Intern Candidate

Oct 21, 2026 · Remote

✗ No offerNegativeDifficult

The process was pretty straightforward. It started with an online assessment, followed by a phone screen, and concluded with a final interview round that had two LeetCode medium difficulty problems.

Interview QuestionEasy

“Merge Two Sorted Lists - Merge two sorted linked lists into one sorted list”

Linked Lists

Data Analyst Intern Candidate

Sep 17, 2026 · Austin, TX

✓ OfferNegativeAverage

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.

Interview QuestionMedium

“Describe a time when you had to learn something quickly to complete a project”

Learning & GrowthBehavioral

Data Analyst Intern Candidate

Sep 25, 2025 · New York, NY

✗ No offerPositiveAverage

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.

Interview QuestionEasy

“Best Time to Buy and Sell Stock - Find the maximum profit from buying and selling one share of stock”

Greedy

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About This Role

Focus Areas

PythonMachine LearningStatistics

Key Skills

PythonMachine LearningStatisticsAlgorithms

Details

CompanyHearst

LocationNYC

Postedtoday

TierEnterprise

Frequently Asked Questions

How hard is it to get hired as a Data Analyst Intern at Hearst?

The interview difficulty is rated 3.7/5 by candidates. 77% report a positive experience. Focus on Python, Machine Learning, Statistics to improve your chances.

How long does the Hearst Data Analyst Intern 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. 71% of candidates applied online.

What questions are asked in a Hearst Data Analyst Intern 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.