Synthesized from 52 candidate submissions for ALL.
Sharechat's interview process is highly tailored to the specific technical track, ranging from algorithmic-heavy assessments for engineering roles to domain-specific analytical challenges for data science. Candidates should expect a mix of medium-level coding assessments, deep-dives into SQL proficiency, and role-specific architecture or product sense evaluations.
The interview process was of average difficulty and focused on medium-level algorithmic problem solving.
The technical interview consisted of three medium-level Data Structures and Algorithms problems.
Solve three medium-level Data Structures and Algorithms problems.
The interview was technical and challenging, focusing on SQL, product analysis, and problem-solving skills for a Product Analyst Intern role.
Questions focused on SQL knowledge, product analysis, and problem-solving.
Types of SQL queries
Types of joins
Window functions and their use cases
Questions focused on product analysis and problem-solving.
Identifying and improving a bad feature on Instagram
Determining the effectiveness of an improvement
Extracting data to validate a problem
KPI metrics for problem evaluation
Interview Digest