Meta Analytics & Experimentation Interview Questions
Practice 1,159 real Meta interview questions for 2026. Covers top categories — Coding & Algorithms, Analytics & Experimentation, Data Manipulation (SQL/Python), Behavioral & Leadership, and System Design — across Software Engineer, Data Scientist, Machine Learning Engineer, Data Engineer, and Product Manager roles. Real questions from actual interviews with detailed solutions. Expect a software-engineering-heavy loop: timed algorithmic coding (trees, arrays, graph/maze problems, delimiter/CSV parsing), system-design prompts like leaderboards, flight search and online-judge architectures, and an increasingly common AI-assisted coding round that mirrors real workflows. Data Scientist rounds emphasize product analytics and experimentation—designing tests, diagnosing spend drops and bots, evaluating unconnected content, and writing SQL for multi-account, seller, and vehicle metrics. Machine Learning Engineer questions skew toward recommender and ranking work (place and friend recommendation, sparse-matrix ops, linear-regression derivations, newsfeed dislike models). Data Engineers focus on data modeling, ETL, capacity calculations, reservations/utilization queries, and production SQL/Python tasks. For interview preparation, prioritize timed coding practice, system-design templates, rigorous SQL drills (joins/CTEs/aggregation), clear A/B-testing frameworks, and concise STAR behavioral stories tied to measurable impact.
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"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."
"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."
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"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."
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"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."
"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."
"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."
"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."
"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Write SQL for retention, conversion, and churn
Assume today is 2025-09-01 (use the user's local day boundaries based on users.tz). Given the following schema and sample data, write SQL to: (a) Comp...
Design and analyze end-to-end A/B test
This question evaluates experimentation design and analysis competencies for A/B testing, including metric selection, statistical interpretation, inte...
Define success metrics beyond time spent
This question evaluates a data scientist's competency in product analytics and experimentation, focusing on metrics design, cohort-based retention mea...
Compute binary-tree diameter via return-only DFS
Given the root of a binary tree, compute its diameter defined as the number of edges on the longest path between any two nodes. Implement a DFS that r...
Write SQL to analyze Group Calls adoption
Write SQL (assume PostgreSQL) to analyze Group Calls adoption and cannibalization. Use this schema and sample data. Schema: - users(user_id INT PRIMAR...
Design experiments and observational alternatives
This question evaluates causal inference, experimental design, metric definition and measurement, power analysis, segmentation, and observational stud...
Design an A/B test for comments UI
This question evaluates experimental design, causal inference, statistical power calculation, variance-reduction techniques, sequential monitoring, an...
Estimate first selection round with/without replacement
This question evaluates understanding of probability and expectation concepts, specifically sampling with and without replacement, per-round success p...
Diagnose sales correlations without claiming causality
This question evaluates a data scientist's competency in designing correlation-focused observational analyses, including exposure-window definition, c...
Measure notification impact and set guardrails
This question evaluates causal inference, experiment design, metric specification and attribution, statistical power calculation, and long-term monito...
Identify latent group-call demand from behavior
This question evaluates a data scientist's ability to design measurable product-analytics signals, infer latent user demand from event-level messaging...
Estimate and validate weights for engagement actions
This question evaluates statistical modeling and inference skills including constrained weighting, uncertainty quantification, multicollinearity and s...
Design and justify unread-account pinning experiment
This question evaluates a data scientist's competency in experimental design, causal inference, metric definition, instrumentation, and analysis for p...
Design and analyze notification pinning experiment
This question evaluates experimental design, causal inference, metric definition and instrumentation, sample size estimation, and analysis skills in t...
Determine if users need a new feature
This question evaluates a data scientist's competency in product analytics, causal inference, experiment design, metric definition, instrumentation, a...
[Analytics Reasoning] Impact of Malicious Accounts on Meta
You are analyzing malicious accounts on a large social network. Assume: - 1% of all accounts are malicious. - Malicious accounts send friend requests ...
Design an e-commerce price tracking service
Design a backend system for an e-commerce price-tracking service. Users can track products from a large online retailer, view historical prices, and r...
Prioritize voice-to-text or assistant?
For the same accessibility-focused VR product, assume the team can ship only one feature first because engineering capacity is limited: voice-to-text ...
Count palindrome substrings in a string
Given a lowercase ASCII string s, count the number of substrings that are palindromes and return the count. Implement an O(n^ 2) solution using expand...
Compute capacities after site closures
You are given a nested dictionary redistribution where redistribution[closed_site][dest_site] equals the additional capacity required at dest_site if ...