Kenvue Solutions

Role: Data Analyst

College: Not Specified

Interview Date: October 9, 2025

Interview Type: Full-Time

Result: Not Yet

Difficulty: Average

Rounds: 4 rounds

Topics Asked: HR screening, SQL challenges, Python-based data manipulation, behavioral questions (teamwork, project management), data cleansing, descriptive statistics, visualizations using Tableau, Excel, Power BI.

Experience:

The interview process for the Data Analyst role at Kenvue consisted of four rounds spread over three weeks.

Round 1 (HR Phone Screen): This initial screen lasted approximately 30 minutes. The HR representative assessed the candidate's interest in Kenvue's mission and inquired about their prior experience with healthcare data analytics. The interaction was described as amiable, with the HR explaining Kenvue's role in everyday healthcare applications.

Round 2 (Technical - SQL): Scheduled a week after the HR screen, this round involved live SQL challenges and lasted about 60 minutes.

Round 3 (Technical - Python & Data Manipulation): This round focused on Python-based data manipulation and was approximately 75 minutes long. Questions covered topics such as data cleansing, descriptive statistics, and data visualizations using tools like Tableau. Interviewers were thorough, prompting the candidate to clearly explain their thought process.

Round 4 (Behavioral & Take-Home Project): The final round was a 45-minute behavioral interview, including questions related to teamwork and project management. Additionally, a take-home project was assigned to evaluate the candidate's analytical skills and ability to present findings, utilizing tools like Excel and Power BI.

Overall Experience: The candidate found the overall experience challenging but rewarding. Kenvue's emphasis on problem-solving and a collaborative culture was evident throughout the process. Preparation involved reviewing key data analysis concepts and practicing SQL and Python using online resources such as DataCamp and Kaggle tutorials.