RWJBarnabas Health is one of New Jersey’s premier healthcare providers, offering world-class care across an integrated network of urban medical centers, teaching and research facilities, and community hospitals to over 5 million residents. Known for its dynamic and diverse team, RWJBarnabas Health is committed to shaping a healthier future for the Garden State.

As a Data Analyst at RWJBarnabas Health, you'll leverage your analytical skills to transform data into actionable insights that drive strategic decisions in various departments, from Employee Relations to clinical outcomes. Proficiency in tools like Tableau, SQL, and Excel, along with strong communication skills, are essential for this role. This guide will walk you through the interview process, help you understand what to expect, and provide valuable tips to succeed in securing a Data Analyst position at RWJBarnabas Health.

Discover how you can be a part of this exceptional team and contribute to a healthier New Jersey with the help of Interview Query.

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining RWJBarnabas Health as a Data Analyst. 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, especially those that align with the job duties, such as experience with HR systems, proficiency in data analysis tools like SQL and Tableau, and strong communication abilities.

Recruiter/Hiring Manager Call Screening

If your CV happens to be among the shortlisted few, a recruiter from the RWJBarnabas 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 data 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. This call typically lasts around 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 RWJBarnabas Health data analyst role is usually conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around HR data systems, ETL pipelines, and SQL queries.

Candidates may face take-home assignments regarding employee relations metrics, analytics, and data visualization. Proficiency in hypothesis testing, probability distributions, and statistical analysis is often assessed during this round. Depending on the seniority of the position, case studies and real-scenario problem-solving tasks may also be assigned.

Onsite Interview Rounds

Following 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 RWJBarnabas Health office. Your technical prowess, including proficiency in data visualization tools like Tableau, statistical modeling, and data interpretation capabilities, will be evaluated.

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

Quick Tips For RWJBarnabas Health Data Analyst Interviews

A few tips for acing your RWJBarnabas Health interview include:

• Understand Healthcare Data Systems: Familiarize yourself with the HR processes and systems like HRIS and employee relations management systems. Understanding these systems can give you an edge in answering system-related questions.

• Be Data-Driven: RWJBarnabas Health values data-driven insights. Brush up on your knowledge of statistical analysis, predictive modeling, and data visualization tools. Showcase your ability to translate complex data into actionable insights.

• Embody the Mission: RWJBarnabas Health focuses on quality of life, community focus, and professional growth. Practice responding to behavioral questions with answers that align with the company’s core values and mission to build a healthier New Jersey.

Typically, interviews at Barnabas Health vary by role and team, but commonly Data 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 if 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 app? For a sports app tracking running, jogging, and cycling data, formulate a method to identify dishonest users, such as those driving a car while claiming to be on a bike ride. Specify the metrics and statistical methods you would analyze to detect athletic anomalies.

• 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 stable, 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%. How would you approach this issue?

• How would you assess the validity of a .04 p-value in an AB test? Your company is running a standard control and variant AB test to increase conversion rates on a landing page. The PM reports a p-value of .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? You are a data scientist at LinkedIn working on a feature that allows candidates to message hiring managers directly. Due to engineering constraints, an AB test was not possible before launch. How would you analyze the feature's performance?

• Should Square hire a customer success manager or offer a free trial for a 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.

What is the average salary for a Data Analyst at Barnabas Health?

Q: What are the key responsibilities of a Data Analyst at RWJBarnabas Health?
A: A Data Analyst at RWJBarnabas Health is responsible for collecting and analyzing HR data, developing HR analytics dashboards and reports, interpreting data, collaborating with HR teams, developing predictive models, partnering with IT for data integrity, and staying updated with industry trends.

Q: What qualifications and skills are required for the Data Analyst position?
A: Candidates should have a Bachelor's degree in Human Resources or a related field, or relevant work experience. They need 2+ years of data analysis experience, strong proficiency in tools like SQL and Excel, excellent communication skills, and knowledge of HR processes and systems. Experience with Tableau and predictive modeling is preferred.

Q: What is the work environment like at RWJBarnabas Health?
A: RWJBarnabas Health offers a dynamic and collaborative work environment with a strong financial foundation. Employees are part of an extended family with diverse skills and a shared commitment to excellence. The organization offers flexibility and opportunities for professional growth across various facilities.

Q: How does RWJBarnabas Health support career growth and development?
A: RWJBarnabas Health provides tremendous opportunities for lifelong learning and professional growth. The company encourages employees to explore different opportunities within its extensive network, fostering a supportive environment for career advancement.

Q: How can I prepare for an interview at RWJBarnabas Health?
A: To prepare for an interview at RWJBarnabas Health, research the company and its values, practice common data analyst interview questions, and review your technical skills. Use Interview Query to practice and fine-tune your interview techniques for the best preparation.

Considering the multifaceted responsibilities and opportunities available across various departments, RWJBarnabas Health stands as a premier employer in New Jersey, fostering professional growth, innovation, and an insightful approach to data analytics. If you're enthusiastic about leveraging data to drive strategic decisions and create actionable insights, this is your ideal workplace.

For further insights to prepare for your interview, explore our RWJBarnabas Health Interview Guide, where you’ll find a wealth of interview questions tailored to data analyst roles and other positions within the company.

At Interview Query, we equip you with the knowledge, confidence, and strategic guidance necessary to excel in your interview process. Check out all our company interview guides for optimal preparation.

Good luck with your interview!