Eleanor Health is a renowned provider specializing in substance use disorder (SUD) care through Medication-Assisted Therapy (MAT), behavioral therapy, and comprehensive wellness support. Led by successful healthcare and technology experts, Eleanor Health is committed to offering accessible and evidence-based treatment, significantly transforming the landscape of addiction care.

The Junior Business Analyst role in Revenue Cycle at Eleanor Health is pivotal for enhancing revenue cycle and strategic processes via data analysis and reporting. Reporting to the Director of Revenue Operations, the candidate will handle revenue forecasting, trend analysis, and predictive modeling. This role requires exceptional analytical skills, proficiency in accounting, ERP software, and data visualization tools like Tableau or Power BI. If you are passionate about making a difference through innovative practices, this guide will help you navigate the interview process effectively.

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Eleanor Health as a Business Analyst. Whether you were contacted by an Eleanor 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 Eleanor 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 Eleanor 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 Eleanor 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 data analysis, predictive modeling, and revenue forecasts.

In the case of business analyst roles, take-home assignments regarding revenue cycle performance, analytics, and data visualization are incorporated. Apart from these, your proficiency in data integrity, statistical analysis, and familiarity with tools like Tableau or Power BI 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 Eleanor Health office. Your technical prowess, including data analysis and reporting, 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 Eleanor Health.

Quick Tips For Eleanor Health Business Analyst Interviews

You should plan to brush up on any technical skills and try as many practice interview questions and mock interviews as possible. Some tips for acing your Eleanor Health interview include:

• Be Data-Driven: Eleanor Health's business analyst interviews assess how well you can provide business-driving insights with data analysis. Brush up on your knowledge of statistics and probability since these questions can be some of the hardest to solve.
• Understand Healthcare Revenue Cycle: Familiarize yourself with the revenue cycles in the healthcare industry as well as value-based care models. This will help you contextualize real-world problems during the interview.
• Effective Communication: Eleanor Health values clear and concise communication. Practice explaining complex data findings in an easy-to-understand manner for stakeholders with varying levels of data proficiency.

Typically, interviews at Eleanor 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? 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.

• 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.

• 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 without an intercept term. Create a logistic regression model from scratch using basic gradient descent and the log-likelihood as the loss function. Do not include an intercept term or 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 observe that the number of job postings per day has remained stable, but the number of applicants has been steadily decreasing. What could be causing 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 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 finds 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 wasn't possible. How would you analyze the feature's performance?

• Should Square hire a customer success manager or offer a free trial for a new product? The CEO of Square's small business division 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. The system should also accommodate 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 Business Analyst at Eleanor Health?

Q: What does a Junior Business Analyst under Revenue Cycle at Eleanor Health do?

A: The Junior Business Analyst plays a crucial role in optimizing our revenue cycle by analyzing data, preparing revenue forecasts, and developing predictive models. They collaborate with cross-functional teams to identify areas for improvement and deliver actionable insights through comprehensive reporting.

Q: What qualifications are required for the Business Analyst position at Eleanor Health?

A: Candidates need at least a year of experience as a data analyst, preferably in healthcare, and a bachelor’s degree in accounting, finance, economics, or statistics. Proficiency in data analysis, ERP software, and Microsoft Excel is essential. Strong analytical, critical thinking, and data-driven decision-making abilities are also required.

Q: What is the compensation and benefits package for the Business Analyst role at Eleanor Health?

A: The total target compensation range is $55,000-$75,000, with actual offers based on various factors such as qualifications and experience. Benefits include flexible PTO, wellness days, fully covered medical and dental insurance, a 401(k) plan with a 3% match, and wellness perks such as mindfulness app reimbursement and virtual health visits.

Q: What makes Eleanor Health a unique place to work?

A: Eleanor Health is a pioneering institution in outpatient addiction and mental health care, using a value-based payment structure to deliver comprehensive and judgment-free care. The company is driven by a mission to improve the quality, delivery, and accessibility of care for those affected by addiction, creating an inspiring and supportive work environment.

Q: How can I prepare for an interview for a Business Analyst position at Eleanor Health?

A: Research the company and its mission, practice common interview questions, and review your technical skills. Platforms like Interview Query can help you prepare effectively by providing practice materials specifically tailored for business analyst roles.

If you want more insights about the company, check out our main Eleanor Health Interview Guide, where we have covered many interview questions that could be asked. We’ve also created interview guides for other roles, such as software engineer and data analyst, where you can learn more about Eleanor Health’s interview process for different positions.

At Interview Query, we empower you to unlock your interview prowess with a comprehensive toolkit, equipping you with the knowledge, confidence, and strategic guidance to conquer every Eleanor Health Business Analyst interview and challenge.

You can check out all our company interview guides for better preparation, and if you have any questions, don’t hesitate to reach out to us.

Good luck with your interview!