I applied through a recruiter. The process took 2 months. I interviewed at LinkedIn in Apr 2024
Interview
processo interminável e sem feedback da empresa. mudanças constantes dos processos e pouca transparência com os candidatos. não tive uma boa experiência com o time de recrutamento e seleção. foi bem complicado!
Interview questions [1]
Question 1
todas perguntas podem ser respondidas na metodologia star. sempre vão pedir uma situação para avaliar o seu comportamento diante algumas situações.
I applied through a recruiter. I interviewed at LinkedIn (Mountain View, CA) in Mar 2025
Interview
The interview was a 1-hour technical coding interview. The primary interviewer was being observed by another interviewer. We opened with mutual introductions (~5 minutes] before the technical interview. The question was a classic data structures question with constraints on execution complexity for all APIs.
Interview questions [1]
Question 1
Implement a data structure with various APIs ensuring that all APIs have an O(1) complexity
I applied through a recruiter. The process took 2 months. I interviewed at LinkedIn in Jun 2024
Interview
Initial Screening (Recruiter Call)
- Overview of your background and experience
- Discussion of interest in the role and LinkedIn
- High-level behavioral questions
Hiring Manager Conversation
- Behavioral Questions
- In-depth conversation about experience
Take-Home or Online Assessment
A data set provided for analysis with specific questions
Ask for written answers, SQL queries, or Python code
Deliverable could be a brief report or slide deck
Onsite / Final Round Interviews
Multiple rounds (3–5 interviews) with different stakeholders:
- Present insights or findings from a case study to 1-2 senior team member & answer technical questions
- 1-2 Cross Functional Partner Interviewer
- 1 Team Leader
Interview questions [1]
Question 1
Case Study: Public Health Data Analysis and Recommendations
You are part of a public health organization tasked with analyzing COVID-19 data to support strategic planning and targeted healthcare efforts. Your goal is to leverage the publicly available COVID-19 Open Data to answer important questions and provide actionable recommendations.
Dataset
Use the BigQuery public dataset:
bigquery-public-data.covid19_open_data.covid19_open_data
This dataset contains comprehensive country-level daily time-series data related to COVID-19 globally. It includes demographics, epidemiology, health, hospitalizations, government responses, mobility, weather, and more.
Your Task
Create a 3-5 slide PowerPoint presentation for senior leadership that:
Answer the following question: What are your recommendations for reducing Covid cases in the United States?
Summarizes your analytical approach.
Explain briefly how you explored and analyzed the dataset to generate insights.
Presents key findings from the analysis.
These can include trends in cases, fatalities, hotspots, recovery rates, or other metrics you find relevant.
Also answer the questions below:
1) List the key questions you think we should address
2) List the types of data you would analyze and why
3) List any important assumptions you are making