Davita Inc Data Analyst Interview Questions + Guide 2024

Overview of DaVita Inc. for the Data Analyst Position

DaVita Inc., headquartered in Denver, Colorado, is a leading provider of kidney care and dialysis services, renowned for its dedication to patient care and innovation. As part of a Fortune 500 company, DaVita values a diverse and inclusive workplace, ensuring that all team members feel they belong and are respected for their unique contributions.

Stepping into the role of a Data Analyst at DaVita means becoming an integral part of either the Clinical Analytics & Reporting Team or the Legal Department. In both roles, you will harness data to transform complex information into actionable insights, supporting various facets of DaVita’s operations. As a Data Analyst, you will perform tasks such as data analysis, process improvement, report generation, and system support. This role requires strong technical skills including proficiency in SQL, Tableau, Python, and Excel, as well as excellent organizational and interpersonal abilities.

If you’re enthusiastic about joining a dynamic and supportive team committed to improving patient outcomes, this guide will walk you through DaVita’s interview process, frequently asked questions, and provide invaluable tips to help you succeed. Let’s get started!

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining DaVita Inc as a data analyst. Whether you were contacted by a DaVita 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. Don’t forget to highlight relevant skills and mention your work experiences, making sure to align them with the specific qualifications and responsibilities outlined in the job description.

Recruiter/Hiring Manager Call Screening

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

• “Name a time when you had to deal with a difficult project.”
• “How do you prioritize and organize your work on multiple tasks?”

The screening will likely be conducted over a 30-minute call, ensuring that your qualifications align well with the job’s technical and cultural requirements.

First Round Interview (Supervisor Level)

The first formal interview usually involves a potential supervisor and includes a set of standard questions aimed at assessing both your technical skills and behavioral attributes. You might be asked to discuss specific projects you’ve worked on, your problem-solving approach, and your experience with relevant tools such as SQL, Python, and Tableau.

This interview not only evaluates your competency but also your fit within the team culture. Expect questions along the lines of:

• “Explain your experience with data visualization tools.”
• “Describe a challenging data analysis project and how you handled it.”

Second Round Interview (Upper Management)

If you successfully navigate the first round, the next interview will be conducted with upper management. This session is likely to be more focused on aligning your personal values and work ethics with the company’s culture, which emphasizes diversity, equity, and a supportive team environment. Since time may be limited, make sure to convey a positive vibe and align your answers with DaVita’s core values of service excellence, integrity, and continuous improvement.

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 DaVita office. These sessions will involve more in-depth technical assessments, including practical tests that evaluate your proficiency in SQL, Tableau, Python, and other relevant tools.

Your technical prowess, including your ability to manage and analyze large datasets, develop reports, and present findings cogently, will be put to the test. You may be asked:

• To perform a live coding exercise or solve a complex SQL query.
• To present a brief case study demonstrating your ability to convert raw data into actionable insights.

Quick Tips For DaVita Data Analyst Interviews

• Brush Up on Technical Skills: Given the role’s heavy reliance on technical prowess, make sure to rehearse questions and hands-on tasks focusing on SQL, Python, Tableau, and other relevant tools.
• Embrace the Culture: DaVita emphasizes a “Community first, Company second” ethos. Show that you value teamwork, diversity, and integrity by aligning your interview responses with these principles.
• Display Analytical Rigor: Demonstrate your experience with complex data analysis, process improvement, and reporting. Providing specific examples of how your analytical insights have driven meaningful business outcomes will set you apart.

By following these guidelines and preparing thoroughly, you’ll be well on your way to successfully navigating the interview process at DaVita Inc.

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

• How would you set up an A/B test to optimize button color and position for higher click-through rates? A team wants to A/B test multiple changes in a sign-up funnel. For example, they want to see if changing a button from red to blue and/or from the top to the bottom of the page will increase click-through rates. How would you set up this test?

• What metrics would you use to monitor the health of the Stack Overflow community? Given a table of Stack Overflow posts data, suggest three metrics to monitor the health of the community. Write the SQL queries for these metrics.

• What would you investigate to understand why the Calm meditation app isn’t performing well in a new country? As the PM of the Calm meditation app, you launch the app in a new country but find it isn’t performing as expected. What factors would you investigate to determine the cause?

• Write a query to determine the top 5 actions performed during the week of Thanksgiving and rank them. The events table tracks every time a user performs a certain action on a platform. Write a query to determine the top 5 actions performed during the week of Thanksgiving (11/22/2020 - 11/28/2020), and rank them based on the number of times performed. The output should include the action performed and their rank in ascending order. If two actions were performed equally, they should have the same rank.

• Create a function recurring_char to find the first recurring character in a string. Given a string, write a function recurring_char to find its first recurring character. Return None if there is no recurring character. Treat upper and lower case letters as distinct characters. Assume the input string includes no spaces.

• Write a function range_vehicles to find the number of vehicles between checkpoints. Given a list called vehicles which indicates the number of vehicles between each checkpoint, write a function range_vehicles that will give the number of vehicles between the start and end checkpoints. Note: start may be 0.

• Write a SQL query to select the 2nd highest salary in the engineering department. Write a SQL query to select the 2nd highest salary in the engineering department. If more than one person shares the highest salary, the query should select the next highest salary.

• Write a query to get the current salary for each employee. Due to an ETL error, the employees table, instead of updating the salaries every year when doing compensation adjustments, did an insert instead. Write a query to get the current salary for each employee. Assume no duplicate combination of first and last names and that the INSERT operation works with ID autoincrement.

1. How would you design a function to detect anomalies in a univariate dataset? If given a univariate dataset, how would you design a function to detect anomalies? Additionally, how would you modify the function for bivariate data?

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 machine learning model that classifies whether an individual will undergo major health issues based on a set of health features.

3. What is the probability that a coin is double-headed given 10 heads in a row? A jar holds 1000 coins, 999 are fair, and one is double-sided with two heads. You pick a coin at random and toss it ten times, seeing 10 heads. What is the probability that the coin is double-headed, and what is the probability that the next toss will also be a head?

• How would you combat overfitting when building tree-based models? When training a classification model, especially tree-based models, what techniques would you use to prevent overfitting?

• What are the assumptions of linear regression? List and explain the key assumptions that must be met for linear regression to be valid.

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

• *How would you choose the k value when using k-means clustering?** What methods or criteria would you use to determine the optimal number of clusters (k*) in k-means clustering?

• How do you detect and handle correlation between variables in linear regression? What methods would you use to detect and handle correlation between variables in linear regression, and what are the consequences of ignoring such correlations in the model?

What is the average salary for a Data Analyst at Davita Inc?

Q: What can I expect from the interview process for a Data Analyst position at DaVita Inc? You will undergo a multiple-stage interview process, including an initial call with the hiring manager, followed by interviews with senior management and other team members. Expect both behavioral and technical questions, such as discussing past project experiences and problem-solving scenarios.

Q: What skills are essential for a Data Analyst role at DaVita Inc? You should have strong analytical capabilities, proficiency in SQL, and experience with data visualization tools like Tableau. Coding skills in languages like Python or R are also highly valued. Excel and PowerPoint proficiency is required, and familiarity with ETL tools can give you an edge.

Q: What is the work culture like at DaVita Inc? DaVita prides itself on a “Community first, Company second” culture. The company emphasizes diversity, inclusion, and belonging, making it a place where employees can feel respected and valued. Collaboration and continuous improvement define the work environment, and there’s a strong focus on professional development and training.

Q: What kind of projects will I work on as a Data Analyst in DaVita’s legal department? As a Data Analyst supporting the legal department, you’ll engage in a variety of tasks including data analysis, monthly reporting, system implementation, and process improvement. You may also develop metrics for performance tracking, support reporting platforms, and work on special projects as directed by senior management.

Q: What benefits does DaVita Inc offer to its employees? DaVita offers a competitive benefits package, including medical, dental, and vision insurance, a 401(k) match, paid time off, and professional development programs. Employees also have access to various family support resources, counseling sessions, and leadership courses through DaVita’s online training platform.

As a company committed to diversity, inclusiveness, and professional excellence, DaVita Inc. is constantly seeking talented and passionate Data Analysts to join our vibrant community. The interviews may be challenging, but they provide a great opportunity to showcase your expertise and fit within our dynamic team.

If you’re ready to make a meaningful impact through data analytics, DaVita is the place for you. Explore our vast opportunities and apply today. Join us in our mission “To Build the Greatest Healthcare Community the World has Ever Seen.”

Why wait? Transform your career at DaVita! Visit DaVita Careers to learn more about our openings and benefits.

Good luck with your interview!