Eleanor Health is a pioneering provider in the field of outpatient addiction and mental health care, emphasizing empathetic, judgment-free, and comprehensive primary care to those affected by addiction. With their innovative value-based payment model, they aim to revolutionize care accessibility and delivery across several states including Louisiana, Massachusetts, and North Carolina.

Stepping into the role of a Data Analyst at Eleanor Health means becoming part of a collaborative and compassionate team focused on delivering strategic insights, performance reports, and compliance data to maintain and grow partnerships. Utilizing a wide array of technologies, you'll work on impactful projects, including analyses that demonstrate the effectiveness of their care model and support business growth.

Ready to make a difference? This Interview Query guide will walk you through everything you need to succeed in the Data Analyst interview process at Eleanor Health. Let's get started!

Submitting Your Application

The first step to joining Eleanor Health as a Data Analyst is to submit a compelling application that reflects your technical skills and interest in the position. 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 is shortlisted, a recruiter from the Eleanor Health Talent Acquisition Team will contact you to verify key details like your experiences and skill level. Behavioral questions may also be part of the screening process.

In some cases, the Eleanor Health Data Analyst hiring manager might join the screening to answer your queries about the role and the company itself. They may also engage in surface-level technical and behavioral discussions.

The recruiter call typically takes 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 data analyst role usually is conducted virtually, including video conferences and screen sharing. Questions in this 1-hour long interview may revolve around Eleanor's data systems, ETL pipelines, SQL queries, and tools like Google Cloud Platform and Tableau.

For data analyst roles, take-home assignments related to product metrics, analytics, and data visualization may be included. Apart from these, your proficiency against hypothesis testing, probability distributions, and machine learning fundamentals could also be assessed.

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 Eleanor Health. Your technical prowess, including programming and ML modeling capabilities, will be evaluated against the other candidates during these interviews.

If you were assigned take-home exercises, a presentation round may also be included in the onsite interview for the data analyst role at Eleanor Health.

Quick Tips For Eleanor Health Data Analyst Interviews

• Should contain three tips for interviewing for this specific company based on interview experiences.

Example:

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

• Understand the Healthcare Space: Eleanor Health operates in the healthcare industry, so familiarity with healthcare data and terminologies can be a significant advantage.
• Be Empathy-Driven: Eleanor Health values empathy and humility; demonstrate these attributes in your behavioral responses.
• Collaborate and Communicate: Highlight your ability to work in a team, communicate insights effectively, and collaborate across departments, especially with the Partnerships and Growth teams.

Typically, interviews at Eleanor 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? 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 tracking 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 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 observe that the number of job postings per day has remained stable, but the number of applicants has been 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 to increase conversion rates on a 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, but due to engineering constraints, it can't be AB tested. How would you analyze the feature's performance?

• Should Square hire a customer success manager or offer a free trial for a new product? Square's 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 Eleanor Health?

Q: What technologies are used at Eleanor Health? Eleanor Health utilizes a variety of technologies including Google Cloud Platform, Tableau, dbt, Salesforce, Callrail, Rudderstack, and Google Analytics to support data analysis and reporting needs.

Q: What are the key responsibilities of a Data Analyst at Eleanor Health? As a Data Analyst at Eleanor Health, you'll proactively develop insights on member health outcomes, build business cases to expand payer contracts, create dashboards using Tableau, and communicate findings to internal colleagues and external partners. Collaboration with data and engineering teams is essential.

Q: What qualifications are required for the Data Analyst position? Candidates should have 3-5 years of analytics experience, expert-level SQL skills, and experience in building dashboards using Tableau. Strong communication skills, the ability to identify business needs from stakeholder asks, and a high level of empathy and humility are also required.

Q: What is the company culture like at Eleanor Health? Eleanor Health boasts a culture rooted in kindness, empathy, and a product-minded approach. The company values continuous improvement, modern engineering practices, and a collaborative work environment. Being a health-first organization, it emphasizes the well-being of its employees and those they care for.

Q: What are the compensation and benefits like at Eleanor Health? The total target compensation range for the Data Analyst position is $110,000 - $152,000. Eleanor Health offers a generous benefits package including flexible PTO, remote work environment, wellness days, fully covered medical and dental insurance, 401(k) plan with 3% match, short-term and long-term disability, life insurance, and family medical leave.

If you’re enthusiastic about joining a team that values kindness, empathy, and a product-minded approach, consider applying to Eleanor Health for the Data Analyst position. This role offers the opportunity to contribute to impactful and meaningful work within a supportive and collaborative environment. At Eleanor Health, you’ll engage in projects that focus on improving health outcomes and expanding valuable partnerships, all while enjoying a comprehensive benefits package.

For a deeper dive into the interview process and preparation tips, check out our main Eleanor Health Interview Guide. We have compiled a variety of interview questions and detailed guides for roles like Data Analyst.

At Interview Query, we’re dedicated to equipping you with the tools and insights you need to excel in your interviews. Explore 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!