Data Analyst applicants have rated the interview process at Northern Trust with 3.7 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 67% positive. To compare, the company-average is 61.7% positive. This is according to Glassdoor user ratings.
Common stages of the interview process at Northern Trust as a Data Analyst according to 3 Glassdoor interviews include:
Phone interview: 67%
Group panel interview: 33%
Here are the most commonly searched roles for interview reports -
The interview process involves screening resumes, conducting initial phone interviews, followed by in-person or virtual interviews, assessing skills and cultural fit, and concluding with a job offer or rejection. After we need to visit on site to get know about team
It was a Campus hiring scenario. There was an aptitude test which lasted for an hour. After clearing the round, there was Group discussion round. And then face to face interview round with 3 panels.
Application Review:
Once you submit your application, the recruiting team will review your resume and qualifications to determine if your background aligns with the role.
Initial Phone/Screening Interview:
If selected, you'll likely be contacted for a brief phone or video interview with a recruiter or HR representative. This conversation typically covers your background, interest in the role, and basic qualifications.
Technical or Skills Assessment (if applicable):
Depending on the role, you may be asked to complete a skills test, case study, or technical assessment to demonstrate your capabilities.
Hiring Manager Interview:
This is a deeper conversation with the hiring manager, focusing on your experience, how you approach work, and your fit for the team and company culture.
Panel or Team Interviews:
You may meet with multiple team members in a panel format or through one-on-one conversations. This stage is designed to evaluate your skills more thoroughly and see how you collaborate and communicate.
Interview questions [1]
Question 1
My Experience and projects which i have worked with closely in SQL