Quest Diagnostics

Role: Data Analyst (Quest Analytics - Guide-based experience)

College: Not Specified

Interview Date: Not Specified (Guide for 2025)

Interview Type: Full-Time

Result: Not Specified

Difficulty: Medium

Rounds: Multiple rounds

Topics Asked: SQL, data cleansing/preparation, analyzing complex datasets, healthcare data, programming languages (Python), behavioral questions, communication skills.

Experience:

The interview process for a Data Analyst at Quest Analytics is designed to evaluate both technical skills and cultural fit. It generally involves several stages:

• 1. Initial Phone Screen: A 30-minute phone call with a recruiter covering background, experience, motivation, basic behavioral questions, and familiarity with healthcare data and programming languages like Python.
• Technical Interview: Focuses on analytical skills, problem-solving, and understanding of business processes, especially in a healthcare context. Questions frequently involve SQL, such as identifying VIP customers, calculating average test volume by lab per month, designing a database for diagnostics test data, and finding the average number of tests and their types ordered by clinics. Candidates should be prepared to discuss data cleansing and preparation projects, and how they approach analyzing complex datasets.
• Behavioral Interview: Assesses soft skills and handling workplace situations.
• Final Interview: May involve higher-level management or cross-functional teams, focusing on strategic thinking and understanding of the business landscape.

Candidates are advised to use the STAR method for behavioral questions, showcase analytical skills, emphasize team collaboration, and ask insightful questions.