Sentara healthcare Data Analyst Interview Questions + Guide in 2024

Sentara Healthcare is a renowned, integrated health system committed to improving health daily and serving as the healthcare choice for various communities.

In this interview guide, we will help you navigate the interview process, commonly asked Sentara Healthcare data analyst interview questions, and some helpful tips to make you stand out. Let’s get started!

Recruiter Call Screening

If your resume is shortlisted, a recruiter from Sentara Healthcare will contact you for an initial screening. This call is typically straightforward and lasts about 30 minutes. The recruiter will verify key details such as your professional experience, technical skills, and reasons for wanting to join Sentara.

Behavioral questions may also be a part of this screening to assess your fit for the company culture. Make sure you are comfortable speaking about your resume, experiences, and aspirations. These calls often do not include technical questions but focus on your background and motivations.

Panel Interview

Following a successful recruiter screening call, you will be invited to a 30-minute non-technical panel interview. This stage is designed to evaluate your familiarity with Business Intelligence (BI) development and reporting. You might be asked about your technical stack, how you ensure data accuracy in your BI assets, and your experience with analytics.

Offer

Upon passing the panel interview, you will receive an offer to join Sentara Healthcare. The interview process is simple and efficient, designed to find ideal candidates swiftly.

Typically, interviews at Sentara Healthcare vary by role and team, but commonly data analyst interviews follow a fairly standardized process across these question topics.

1. 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.

2. How would you design a machine learning model to classify major health issues based on health features?

You work 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.

3. What metrics and statistical methods would you use to identify dishonest users in a sports app?

You work for a company with 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.

4. 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.

5. How would you design a machine learning model to classify major health issues based on health features?

You work 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 health features.

6. How does a high correlation between two features affect their importance in a random forest?

If two features are highly correlated in a random forest, how will this correlation impact their measurement of feature importance?

7. Why is the number of job applicants decreasing despite stable job postings?

You are looking at job board metrics and notice that while the number of job postings per day has remained stable, the number of applicants has been steadily decreasing. Why might this be happening?

8. 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 on a feature to increase conversion rates on the landing page. The PM finds a .04 p-value in the results. How would you assess the validity of this result?

9. How would you analyze the performance of a new LinkedIn feature without an AB test?

As a data scientist at LinkedIn, you are working on a feature that allows candidates to message hiring managers directly during the interview process. Due to engineering constraints, the company can’t AB test the feature before launching it. How would you analyze its performance?

10. 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 instituting a free trial instead. What would be your recommendation?

11. How could you promote Instagram through the Facebook app?

You work on the growth team at Facebook and are tasked with promoting Instagram from within the Facebook app. Where and how could you promote Instagram through Facebook?

12. 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.

13. 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.

Here are some quick tips to help you prepare for Sentara Healthcare data analyst interviews:

• Know Your Resume: Sentara’s initial screening focuses heavily on your resume. Be ready to talk confidently about your previous roles and experiences in data analysis.
• Understand the Industry: Sentara Healthcare operates in various healthcare domains. Familiarize yourself with industry-specific terms like HEDIS, STAR ratings, and population health reporting.
• Be Comfortable Speaking: The interview process includes a lot of verbal explanations. Make sure you can clearly articulate your thoughts and experiences, and try our Mock Interview platform to prepare for this beforehand.

What is the average salary for a Data Analyst at Sentara Healthcare?

According to Glassdoor, a Data Analyst at Sentara Healthcare earns between $73K to $109K per year, with an average of $89K per year.

Who is eligible to apply for the remote Data Analyst position at Sentara Healthcare?

Candidates from the following states are eligible for the remote Data Analyst position: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.

What benefits does Sentara Healthcare offer to its employees?

Sentara Healthcare offers comprehensive healthcare and retirement benefits, including medical, dental, and vision insurance, life insurance, disability benefits, and voluntary benefits. Employees also receive Paid Time Off, including sick time, vacation time, and paid parental leave. If certain eligibility criteria are met, there are opportunities for an annual bonus.

Landing a Healthcare Data Analyst job at Sentara Healthcare offers a seamless and positive interview experience. The process is straightforward yet insightful, from the initial recruiter call to the non-technical panel interview. Sentara Healthcare boasts a supportive and friendly team in a well-established, large, non-profit environment.

Embrace this opportunity to join an exceptional healthcare organization dedicated to excellence. Good luck with your interview!