Barnabas Health is a leading healthcare organization committed to transforming the health and wellness of its communities through compassionate and comprehensive care. As one of the largest and most respected health systems in the region, Barnabas Health provides an extensive range of medical services and innovative health solutions.

Joining Barnabas Health as a Business Analyst means you will play a pivotal role in enhancing and optimizing healthcare delivery. The position demands strong analytical skills, attention to detail, and the ability to translate complex data into actionable insights. Your primary responsibilities will include data analysis, process improvement, and supporting strategic initiatives to improve patient outcomes and operational efficiency.

If you’re eager to make a meaningful impact in the healthcare sector, this guide is for you. We’ll provide insights into the interview process, commonly asked questions, and valuable tips for your Business Analyst interview at Barnabas Health. Let’s dive in!

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Barnabas Health as a Business Analyst. Whether you were contacted by a Barnabas Health recruiter or have taken the initiative yourself, carefully review the job description and tailor your CV according to the prerequisites.

Tailoring your CV may include identifying specific keywords that the hiring manager might use to filter resumes and crafting a targeted cover letter. Furthermore, don’t forget to highlight relevant skills and mention your work experiences.

Recruiter/Hiring Manager Call Screening

If your CV happens to be among the shortlisted few, a recruiter from the Barnabas Health Talent Acquisition Team will make contact and verify key details like your experiences and skill level. Behavioral questions may also be a part of the screening process.

In some cases, the Barnabas Health Business Analyst hiring manager stays present during the screening round to answer your queries about the role and the company itself. They may also indulge in surface-level technical and behavioral discussions.

The whole recruiter call should take about 30 minutes.

Technical Virtual Interview

Successfully navigating the recruiter round will present you with an invitation for the technical screening round. Technical screening for the Barnabas Health Business Analyst role usually is conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around Barnabas Health's data systems, ETL pipelines, and SQL queries.

In the case of Business Analyst roles, take-home assignments regarding product metrics, analytics, and data visualization are incorporated. Apart from these, your proficiency against hypothesis testing, probability distributions, and business modeling fundamentals may also be assessed during the round.

Depending on the seniority of the position, case studies and similar real-scenario problems may also be assigned.

Onsite Interview Rounds

Followed by a second recruiter call outlining the next stage, you’ll be invited to attend the onsite interview loop. Multiple interview rounds, varying with the role, will be conducted during your day at the Barnabas Health office. Your technical prowess, including programming and business analytics capabilities, will be evaluated against the finalized candidates throughout these interviews.

If you were assigned take-home exercises, a presentation round may also await you during the onsite interview for the Business Analyst role at Barnabas Health.

Quick Tips For Barnabas Health Business Analyst Interviews

• Understand Healthcare Systems: Barnabas Health operates within the healthcare sector. Familiarize yourself with healthcare data systems and the unique challenges and opportunities they present.
• Showcase Analytical Skills: Emphasize your ability to analyze healthcare data for insightful decision-making. Practice solving complex data problems with a focus on healthcare scenarios.
• Be Detail-Oriented: Barnabas Health values precision and accuracy. Demonstrate your attention to detail in both your technical skills and communication during interviews.

Typically, interviews at Barnabas Health vary by role and team, but commonly Business Analyst interviews follow a fairly standardized process across these question topics.

• How would you interpret coefficients of logistic regression for categorical and boolean variables? Explain how to interpret the coefficients of logistic regression when dealing with categorical and boolean variables.

• How would you design a machine learning model to classify major health issues based on health features? As a machine learning engineer for a health insurance company, design a model that classifies whether an individual will undergo major health issues based on a set of health features.

• What metrics and statistical methods would you use to identify dishonest users in a sports tracking app? For a sports app that tracks running, jogging, and cycling data, formulate a method to identify users who might be cheating, such as driving a car while claiming to be on a bike ride. Specify the metrics and statistical methods you would analyze to detect athletic anomalies indicative of dishonest behavior.

• Develop a function str_map to determine if a one-to-one correspondence exists between characters of two strings at the same positions. Given two strings, string1, and string2, write a function str_map to determine if there exists a one-to-one correspondence (bijection) between the characters of string1 and string2.

• Build a logistic regression model from scratch using gradient descent and log-likelihood as the loss function. Create a logistic regression model from scratch without an intercept term. Use basic gradient descent (with Newton's method) for optimization and the log-likelihood as the loss function. Do not include a penalty term. You may use numpy and pandas but not scikit-learn. Return the parameters of the regression.

• Why are job applications decreasing despite stable job postings? You are analyzing a job board where the number of job postings per day has remained constant, but the number of applicants has been steadily decreasing. What could be the reasons for this trend?

• What would you do if friend requests on Facebook are down 10%? A product manager at Facebook informs you that friend requests have decreased by 10%. What steps would you take to investigate and address this issue?

• How would you assess the validity of an AB test result with a 0.04 p-value? Your company is running an AB test on a feature to increase conversion rates on the landing page. The PM reports a p-value of 0.04. How would you evaluate the validity of this result?

• How would you analyze the performance of a new LinkedIn feature without an AB test? LinkedIn has launched a feature allowing candidates to message hiring managers directly during the interview process. Due to engineering constraints, an AB test was not conducted. How would you analyze the feature's performance?

• Customer success manager vs. free trial for Square's new product? You are in charge of Square's small business division. The CEO wants to hire a customer success manager for a new software product, while another executive suggests offering a free trial instead. What would be your recommendation?

• How would you build a fraud detection model using a dataset of 600,000 credit card transactions? Imagine you work at a major credit card company and are given a dataset of 600,000 credit card transactions. Describe your approach to building a fraud detection model.

• How would you interpret coefficients of logistic regression for categorical and boolean variables? Explain how to interpret the coefficients of logistic regression when dealing with categorical and boolean variables.

• How would you tackle multicollinearity in multiple linear regression? Describe the methods you would use to address multicollinearity in a multiple linear regression model.

• How would you design a facial recognition system for employee clock-in and secure access? You work as an ML engineer for a large company that wants to implement a facial recognition system for employee clock-in, clock-out, and access to secure systems, including temporary contract consultants. How would you design this system?

• How would you handle data preparation for building a machine learning model using imbalanced data? Explain the steps you would take to prepare data for building a machine learning model when dealing with imbalanced data.

Exploring a career as a Business Analyst at Barnabas Health? Dive into our comprehensive RWJBarnabas Health Interview Guide, where we outline crucial interview questions you may encounter. Additionally, check out our curated guides for roles such as software engineer and data analyst to gain deeper insights into Barnabas Health’s interview process across various positions.

At Interview Query, we're dedicated to helping you prepare effectively with our extensive resources. Equip yourself with the knowledge, confidence, and strategies necessary to excel in your interviews with Barnabas Health.

You can explore all our company interview guides for optimal preparation. If you have any questions, feel free to reach out to us.

Good luck with your Barnabas Health interview!