One Call Data Analyst Interview Questions + Guide in 2025

One Call is dedicated to transforming the healthcare experience by providing innovative solutions that streamline the process for patients, providers, and payers alike.

As a Data Analyst at One Call, you will play a critical role in shaping data-driven decision-making across various departments. Your primary responsibilities will include analyzing data sets to identify trends, generating reports to provide insights, and collaborating with cross-functional teams to enhance operational efficiency. Proficiency in SQL and Excel is essential, as you will be tasked with data extraction, manipulation, and visualization. The ideal candidate will have strong analytical skills, attention to detail, and the ability to effectively communicate findings to both technical and non-technical stakeholders. A successful Data Analyst at One Call not only possesses the technical expertise but also embodies the company's commitment to improving healthcare outcomes through data.

This guide aims to equip you with tailored insights and strategies to excel in your interview for the Data Analyst position at One Call.

The interview process for a Data Analyst position at One Call is structured and typically spans over a couple of weeks. It consists of multiple rounds designed to assess both technical skills and cultural fit within the company.

1. Initial Assessment

The process begins with an initial assessment, which is usually conducted online. Candidates are required to complete a test focused on SQL and Excel skills. This assessment is crucial as it helps the hiring team gauge your technical proficiency in essential tools that are vital for the role.

2. Phone Screening

Following the assessment, candidates will participate in a phone screening with a recruiter or HR representative. This conversation typically lasts around 30 minutes and focuses on your SQL skills, as well as your overall experience and interest in the position. The recruiter will also provide insights into the company culture and expectations for the role.

3. Manager Interview

The next step involves a one-on-one interview with the hiring manager. During this session, the manager will delve deeper into your resume, discuss your previous experiences, and assess your technical skills, particularly in SQL. This round also includes behavioral questions aimed at understanding how you work with teams and interact with senior leadership.

4. In-Person Interview

The final round is an in-person interview, which typically involves meeting with a senior manager or a panel. This interview focuses on your skills related to the position, along with additional behavioral questions. It’s an opportunity for you to demonstrate your analytical thinking and problem-solving abilities in a more interactive setting.

After completing these rounds, candidates can expect to receive an offer letter within a week if they successfully meet the requirements.

Now that you have an understanding of the interview process, let’s explore the specific questions that may be asked during each stage.

Here are some tips to help you excel in your interview.

Understand the Role and Company

Before your interview, take the time to familiarize yourself with One Call's mission, values, and recent developments in the healthcare industry. Understanding how the Data Analyst role contributes to the company's objectives will allow you to tailor your responses and demonstrate your alignment with their goals. Additionally, knowing the specific challenges One Call faces can help you articulate how your skills can provide solutions.

Master Your Technical Skills

Given that SQL and Excel are critical for this role, ensure you are well-prepared to demonstrate your proficiency in these areas. Review common SQL functions, including joins, subqueries, and aggregate functions, as well as Excel features like pivot tables and VLOOKUP. Consider practicing with online assessments or sample tests to build your confidence. Being able to solve problems on the spot will impress your interviewers.

Prepare for Behavioral Questions

Expect to encounter behavioral questions that assess your teamwork, problem-solving abilities, and experience working with leadership teams. Use the STAR (Situation, Task, Action, Result) method to structure your responses, providing clear examples from your past experiences. Highlight instances where you successfully collaborated with others or contributed to a project that had a significant impact.

Engage with Your Interviewers

During your interviews, especially in the one-on-one with your manager, be prepared to ask insightful questions about the team dynamics, company culture, and expectations for the role. This not only shows your interest in the position but also helps you gauge if One Call is the right fit for you. Engaging in a two-way conversation can leave a positive impression.

Follow Up Thoughtfully

After your interviews, send a personalized thank-you email to each of your interviewers. In your message, express your appreciation for the opportunity to learn more about One Call and reiterate your enthusiasm for the Data Analyst position. Mention specific points from your conversation that resonated with you, which can help reinforce your candidacy.

By following these tips, you can approach your interview with confidence and clarity, positioning yourself as a strong candidate for the Data Analyst role at One Call. Good luck!

In this section, we’ll review the various interview questions that might be asked during a Data Analyst interview at One Call. The interview process will likely assess your technical skills in data analysis, particularly in SQL and Excel, as well as your ability to communicate effectively and work collaboratively within a team.

Technical Skills

1. Can you explain the difference between INNER JOIN and LEFT JOIN in SQL?

Understanding SQL joins is crucial for data analysts, as they are fundamental for combining data from multiple tables.

How to Answer

Clearly define both types of joins and provide a brief example of when you would use each.

Example

“An INNER JOIN returns only the rows where there is a match in both tables, while a LEFT JOIN returns all rows from the left table and the matched rows from the right table. For instance, if I have a table of customers and a table of orders, an INNER JOIN would show only customers who have placed orders, whereas a LEFT JOIN would show all customers, including those who haven’t placed any orders.”

2. How do you handle missing data in a dataset?

Handling missing data is a common challenge in data analysis, and interviewers want to know your approach.

How to Answer

Discuss various methods for dealing with missing data, such as imputation, removal, or using algorithms that support missing values.

Example

“I typically assess the extent of the missing data first. If it’s minimal, I might use imputation techniques, like filling in the mean or median values. For larger gaps, I may consider removing those records or using models that can handle missing values, ensuring that the integrity of the analysis is maintained.”

3. Describe a complex Excel function you have used in your previous work.

Excel is a key tool for data analysts, and demonstrating proficiency in its advanced functions is important.

How to Answer

Mention a specific function, explain its purpose, and describe how you applied it in a real-world scenario.

Example

“I frequently use the VLOOKUP function to merge datasets. For example, I used it to combine sales data with customer information, allowing me to analyze purchasing patterns based on customer demographics, which helped the marketing team tailor their campaigns.”

Behavioral Questions

4. Tell me about a time you worked with a senior leadership team.

This question assesses your experience in collaborating with higher management and your ability to communicate effectively.

How to Answer

Share a specific instance where you interacted with senior leaders, focusing on your role and the outcome of the collaboration.

Example

“In my previous role, I presented a data analysis report to the senior leadership team regarding customer retention rates. I prepared a clear and concise presentation, highlighting key insights and actionable recommendations. The leadership team appreciated the data-driven approach, which led to the implementation of new customer engagement strategies.”

5. How do you prioritize your tasks when working on multiple projects?

Time management is essential for a data analyst, and interviewers want to know your strategy for handling competing priorities.

How to Answer

Discuss your approach to prioritization, including any tools or methods you use to stay organized.

Example

“I prioritize my tasks based on deadlines and the impact of each project. I use project management tools like Trello to keep track of my tasks and deadlines. For instance, if I have a data report due soon that will influence a major decision, I focus on that first, while also allocating time for ongoing projects to ensure nothing falls behind.”

Data Interpretation

6. How do you ensure the accuracy of your data analysis?

Accuracy is critical in data analysis, and interviewers want to know your methods for validating your findings.

How to Answer

Explain the steps you take to verify data accuracy, including any tools or techniques you use.

Example

“I ensure accuracy by cross-referencing my findings with multiple data sources and conducting sanity checks. For instance, I might run a summary statistic to see if the results align with my expectations based on historical data. Additionally, I often collaborate with colleagues to review my analysis for any potential oversights.”

7. Can you describe a time when your analysis led to a significant business decision?

This question aims to understand the impact of your work on the organization.

How to Answer

Provide a specific example where your analysis influenced a decision, detailing the process and outcome.

Example

“While analyzing customer feedback data, I identified a recurring issue with our product that was affecting customer satisfaction. I presented my findings to the product team, which led to a redesign of the product feature. As a result, we saw a 20% increase in customer satisfaction scores in the following quarter.”