GoodRx Business Intelligence Interview Questions + Guide in 2025

GoodRx is America's healthcare marketplace, providing millions of people with reliable health information and significant discounts on prescriptions, saving consumers over $60 billion since its inception.

The Business Intelligence role at GoodRx is pivotal in enhancing the customer experience through data-driven insights and strategic analysis. The key responsibilities include collaborating with leadership and various teams to identify business intelligence needs, developing innovative reporting tools, and managing data infrastructure to optimize performance metrics. Ideal candidates will possess advanced technical skills in SQL and data analysis, experience in BI reporting tools such as Looker and Zendesk, and a knack for transforming complex data into actionable strategies. Additionally, strong communication skills and the ability to cultivate cross-functional relationships are essential for success in this role. A self-motivated and analytical mindset is a must, as the candidate will be expected to proactively identify opportunities to drive efficiencies and enhance the overall customer journey.

This guide will equip you with the insights and knowledge necessary to excel in your interview for the Business Intelligence role at GoodRx, helping you stand out as a candidate who aligns with their mission and values.

The interview process for the Business Intelligence role at GoodRx is structured to assess both technical skills and cultural fit within the organization. It typically consists of several key stages:

1. Initial Recruiter Call

The process begins with a smooth initial call with a recruiter. This conversation usually lasts around 30 minutes and serves as an opportunity for the recruiter to gauge your interest in the role, discuss your background, and provide insights into the company culture. The recruiter will also assess your communication skills and determine if your experience aligns with the expectations for the position.

2. Technical Assessment

Following the initial call, candidates typically undergo a technical assessment. This may involve a coding exercise conducted via a video platform, where you will be asked to demonstrate your proficiency in SQL and potentially other relevant technical skills. Be prepared to tackle real-world problems and showcase your ability to write efficient queries and analyze data.

3. Take-Home Assignment

After the technical assessment, candidates may be required to complete a take-home assignment. This task usually involves writing SQL queries based on provided datasets, allowing you to demonstrate your analytical skills and ability to derive insights from data. The take-home assignment is designed to evaluate your problem-solving approach and technical capabilities in a more flexible setting.

4. Onsite or Virtual Interviews

The final stage of the interview process typically consists of multiple rounds of interviews, which may be conducted onsite or virtually. These interviews will include discussions with various stakeholders, including team members and leadership. Expect to engage in both technical and behavioral interviews, where you will be asked to elaborate on your past experiences, your approach to data-driven decision-making, and how you can contribute to the team’s objectives. Communication skills will be heavily evaluated, as you will need to convey complex analyses to both technical and non-technical audiences.

As you prepare for your interviews, consider the specific skills and experiences that align with the role, particularly in SQL and data analysis, as well as your ability to work collaboratively in a fast-paced environment.

Next, let’s delve into the types of questions you might encounter during the interview process.

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

Understand the Business Intelligence Landscape

Before your interview, familiarize yourself with the specific challenges and opportunities within the healthcare marketplace, particularly as they relate to customer experience. GoodRx is focused on providing affordable healthcare solutions, so understanding how data can drive improvements in customer service and operational efficiency will be crucial. Be prepared to discuss how your previous experiences can translate into actionable insights for GoodRx.

Master SQL and Data Analysis

Given the emphasis on SQL in this role, ensure you are comfortable writing complex queries and optimizing them for performance. Practice common SQL problems, especially those that involve data manipulation and aggregation. Additionally, brush up on your ability to analyze large datasets and derive meaningful conclusions. Be ready to showcase your technical skills through practical examples or even a coding exercise during the interview.

Prepare for Technical Assessments

Expect a coding round as part of the interview process, which may include a take-home assessment focused on SQL queries. Prepare by practicing SQL exercises that reflect real-world scenarios you might encounter at GoodRx. Familiarize yourself with the types of data GoodRx handles and think about how you would approach analyzing that data to support business decisions.

Communicate Clearly and Effectively

As a Business Intelligence professional, you will need to convey complex data insights to both technical and non-technical stakeholders. Practice articulating your thought process and findings in a clear and concise manner. Consider preparing a few examples of how you have successfully communicated data-driven insights in the past, particularly in a way that influenced decision-making.

Emphasize Leadership and Collaboration

This role involves overseeing a team and collaborating with various stakeholders. Be prepared to discuss your leadership style and how you have successfully managed teams in the past. Highlight your experience in fostering collaboration across departments and how you have navigated challenges in a fast-paced environment. GoodRx values cross-functional relationships, so demonstrating your ability to work well with others will be key.

Showcase Your Problem-Solving Skills

GoodRx is looking for self-motivated problem solvers who can think strategically. Prepare to discuss specific challenges you have faced in previous roles and how you approached solving them. Use the STAR (Situation, Task, Action, Result) method to structure your responses, ensuring you highlight the impact of your solutions on the business.

Align with Company Culture

GoodRx is committed to inclusivity and diversity, so be sure to reflect these values in your interview. Share experiences that demonstrate your commitment to fostering an inclusive environment and how you have contributed to diverse teams in the past. Understanding and aligning with the company culture will help you stand out as a candidate who is not only technically proficient but also a good cultural fit.

By following these tips and preparing thoroughly, you will position yourself as a strong candidate for the Business Intelligence role at GoodRx. Good luck!

In this section, we’ll review the various interview questions that might be asked during a Business Intelligence interview at GoodRx. The focus will be on your technical skills, analytical thinking, and ability to communicate insights effectively. Be prepared to demonstrate your proficiency in SQL, data analysis, and your experience in supporting business intelligence initiatives.

SQL and Data Management

1. Can you describe your experience with SQL and how you have used it in your previous roles?

This question aims to assess your technical proficiency in SQL, which is crucial for the role.

How to Answer

Discuss specific SQL queries you have written, the complexity of the data sets you worked with, and how your SQL skills contributed to business insights or decision-making.

Example

“In my previous role, I frequently used SQL to extract and analyze data from large databases. For instance, I wrote complex queries to join multiple tables, which allowed me to generate reports that identified trends in customer behavior, ultimately leading to a 15% increase in customer retention.”

2. How do you ensure data quality and integrity in your reports?

This question evaluates your understanding of data hygiene and quality assurance processes.

How to Answer

Explain the methods you use to validate data, such as cross-referencing with other data sources, implementing checks, and maintaining documentation.

Example

“I implement a series of validation checks, including data type verification and range checks, to ensure data quality. Additionally, I regularly cross-reference data with external sources to confirm accuracy, which has helped maintain a high level of data integrity in my reports.”

3. Describe a challenging SQL query you had to write. What was the challenge, and how did you overcome it?

This question tests your problem-solving skills and technical expertise.

How to Answer

Detail the specific challenge you faced, the approach you took to solve it, and the outcome of your efforts.

Example

“I once had to write a query that aggregated sales data across multiple regions while filtering out anomalies. The challenge was ensuring that the data was accurate despite missing entries. I used subqueries to isolate the problematic data and applied conditional logic to handle the missing values, resulting in a comprehensive report that accurately reflected sales performance.”

4. How do you approach optimizing SQL queries for performance?

This question assesses your understanding of query optimization techniques.

How to Answer

Discuss specific strategies you use to improve query performance, such as indexing, avoiding unnecessary joins, or using aggregate functions wisely.

Example

“I focus on optimizing SQL queries by analyzing execution plans to identify bottlenecks. For instance, I implemented indexing on frequently queried columns, which reduced query execution time by over 30%. I also ensure to limit the use of subqueries when possible to streamline performance.”

Data Analysis and Reporting

1. Can you walk us through a data analysis project you led? What was your approach?

This question evaluates your analytical skills and project management experience.

How to Answer

Outline the project’s objectives, your methodology, and the impact of your analysis on the business.

Example

“I led a project to analyze customer feedback data to improve our service offerings. I started by cleaning and categorizing the data, then used statistical methods to identify key trends. The insights I presented to the leadership team led to the implementation of new features that increased customer satisfaction scores by 20%.”

2. How do you communicate complex data findings to non-technical stakeholders?

This question assesses your communication skills and ability to translate data into actionable insights.

How to Answer

Explain your approach to simplifying complex data and using visual aids to enhance understanding.

Example

“I focus on using clear visuals, such as charts and dashboards, to present data findings. I also tailor my language to the audience, avoiding technical jargon. For instance, during a presentation to the marketing team, I highlighted key metrics using infographics, which helped them grasp the insights quickly and make informed decisions.”

3. What tools do you prefer for data visualization, and why?

This question gauges your familiarity with data visualization tools and your ability to choose the right tool for the job.

How to Answer

Discuss the tools you have used, your reasons for preferring them, and how they have enhanced your reporting capabilities.

Example

“I prefer using Looker for data visualization because of its robust capabilities in creating interactive dashboards. It allows me to connect directly to our data sources and provides real-time insights, which is crucial for making timely business decisions.”

4. Describe a time when your analysis led to a significant business decision.

This question looks for evidence of your impact on business outcomes through data analysis.

How to Answer

Share a specific example where your analysis influenced a strategic decision, detailing the process and results.

Example

“During a quarterly review, I analyzed customer acquisition costs and identified a trend indicating that certain marketing channels were underperforming. I presented my findings to the executive team, which led to reallocating the budget towards more effective channels, resulting in a 25% increase in new customer acquisitions over the next quarter.”