Hims & Hers Data Analyst Interview Questions + Guide in 2025

Hims & Hers is a telehealth company focused on providing accessible and affordable healthcare solutions for consumers.

As a Data Analyst at Hims & Hers, you will play a crucial role in supporting business-critical planning and operational metrics. Your key responsibilities will include facilitating meetings to gather insights from various teams, building new metrics to drive continuous improvement, and conducting ad-hoc analyses on large datasets to inform business decisions. You will leverage your technical skills in SQL and data visualization tools, alongside your business acumen, to ensure accurate data reporting and effective communication of results. Essential traits for this role include exceptional attention to detail, strong problem-solving abilities, and the capacity to thrive in a fast-paced and ambiguous environment. This role is integral to the company's focus on enhancing operational efficiency and supporting cross-functional teams, contributing directly to Hims & Hers' mission of making healthcare accessible.

This guide will provide you with tailored insights and preparation strategies to excel in your interview for the Data Analyst position at Hims & Hers.

The interview process for a Data Analyst position at Hims & Hers is structured to assess both technical skills and cultural fit within the company. It typically consists of several key stages:

1. Initial Recruiter Call

The process begins with a phone call from a recruiter, lasting about 30-45 minutes. This conversation serves as an introduction to the role and the company, where the recruiter will discuss the job details, compensation, and expectations. They will also evaluate your background, experiences, and motivations to ensure alignment with the company culture.

2. Technical Screen

Following the initial call, candidates undergo a technical screening, which usually lasts around 45 minutes. This stage may involve a mix of questions about your past experiences and a technical problem-solving exercise. Candidates should be prepared to discuss how they would approach redesigning workflows or implementing new features, as well as demonstrate their analytical thinking and problem-solving skills. While coding may not always be required, a strong understanding of data manipulation and analysis is essential.

3. Interview Loop

The next phase consists of an interview loop, typically involving two technical interviews and two behavioral interviews, each lasting approximately 30-45 minutes. The technical interviews will focus on your proficiency in SQL, data analysis, and possibly algorithms, while the behavioral interviews will assess your ability to communicate effectively, work in teams, and handle complex problems. Expect scenario-based questions that require you to articulate your thought process and decision-making strategies.

4. Final Interview

In some cases, a final interview may be conducted with the hiring manager or a senior team member. This interview often includes a product case study where you may be asked to analyze a hypothetical situation related to business metrics and propose actionable insights. This stage is crucial for demonstrating your business acumen and understanding of operational metrics.

Throughout the process, candidates should be prepared to engage with multiple team members, as the company values collaboration and input from various perspectives.

Now that you have an understanding of the interview process, let’s delve into the specific questions that may arise during your interviews.

In this section, we’ll review the various interview questions that might be asked during a Data Analyst interview at Hims & Hers. The interview process will likely assess your technical skills, problem-solving abilities, and your capacity to communicate insights effectively. Be prepared to discuss your past experiences, demonstrate your analytical thinking, and showcase your proficiency in SQL and data visualization tools.

Technical Skills

1. Can you explain a complex data model you have built in the past?

This question aims to assess your technical expertise and your ability to communicate complex concepts clearly.

How to Answer

Discuss the purpose of the data model, the data sources you used, and the insights it generated. Highlight any challenges you faced and how you overcame them.

Example

“I built a data model to analyze customer purchasing behavior, integrating data from our CRM and sales databases. This model allowed us to identify trends in customer preferences, which informed our marketing strategies. One challenge was ensuring data accuracy, which I addressed by implementing validation checks at each data entry point.”

2. Describe a time when you had to clean and prepare a large dataset for analysis. What steps did you take?

This question evaluates your data manipulation skills and attention to detail.

How to Answer

Outline the specific steps you took to clean the data, including any tools or techniques you used. Emphasize the importance of data quality in your analysis.

Example

“I worked on a project where I had to clean a dataset with over 100,000 entries. I used SQL to identify and remove duplicates, and then applied Python scripts to handle missing values. This preparation was crucial for ensuring the accuracy of my analysis, which ultimately led to actionable insights for the marketing team.”

3. How would you approach designing a new reporting dashboard for a business team?

This question assesses your understanding of business needs and your ability to translate them into actionable insights.

How to Answer

Discuss how you would gather requirements from stakeholders, the metrics you would include, and the tools you would use to create the dashboard.

Example

“I would start by meeting with the business team to understand their key performance indicators and reporting needs. After gathering their requirements, I would use Tableau to design a dashboard that visualizes these metrics in an intuitive way, ensuring it’s easy for them to derive insights at a glance.”

4. What SQL functions do you find most useful for data analysis, and why?

This question tests your SQL knowledge and your ability to apply it in practical scenarios.

How to Answer

Mention specific SQL functions you frequently use and explain how they enhance your data analysis capabilities.

Example

“I often use JOINs to combine data from multiple tables, as well as aggregate functions like SUM and AVG to summarize data. Additionally, I find window functions particularly useful for calculating running totals and moving averages, which provide deeper insights into trends over time.”

5. Can you walk us through a time when you identified a significant business opportunity through your analysis?

This question evaluates your analytical thinking and your impact on business decisions.

How to Answer

Describe the analysis you conducted, the insights you uncovered, and how those insights influenced business strategy.

Example

“While analyzing customer feedback data, I noticed a recurring theme regarding a specific product feature that users found confusing. I presented this finding to the product team, which led to a redesign of the feature. Post-implementation, we saw a 20% increase in customer satisfaction scores related to that product.”

Behavioral Questions

1. Describe a situation where you had to work with a cross-functional team. How did you ensure effective communication?

This question assesses your teamwork and communication skills.

How to Answer

Discuss the importance of clear communication and how you facilitated collaboration among team members.

Example

“In a project involving marketing and operations, I scheduled regular check-ins to ensure everyone was aligned on goals. I also created a shared document where team members could update their progress and raise any concerns, which fostered transparency and collaboration.”

2. How do you prioritize multiple projects with tight deadlines?

This question evaluates your organizational skills and ability to manage time effectively.

How to Answer

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

Example

“I use a combination of project management tools and a priority matrix to assess the urgency and impact of each project. By focusing on high-impact tasks first and breaking larger projects into manageable steps, I can meet tight deadlines without compromising quality.”

3. Tell me about a time you received constructive criticism. How did you handle it?

This question assesses your ability to accept feedback and grow from it.

How to Answer

Share a specific instance where you received feedback, how you responded, and what changes you made as a result.

Example

“During a presentation, my manager pointed out that my data visualizations were too complex for the audience. I took this feedback to heart and sought training on effective data storytelling. In my next presentation, I simplified my visuals, which resulted in better engagement and understanding from the team.”

4. How do you stay updated with the latest trends and tools in data analytics?

This question evaluates your commitment to professional development.

How to Answer

Discuss the resources you use to stay informed, such as online courses, webinars, or industry publications.

Example

“I regularly follow industry blogs and participate in webinars to learn about new tools and techniques. I also take online courses to deepen my knowledge in areas like machine learning and data visualization, ensuring I stay current in this rapidly evolving field.”

5. Can you give an example of how you’ve used data to influence a decision?

This question assesses your ability to leverage data for strategic decision-making.

How to Answer

Describe a specific scenario where your data analysis led to a significant decision or change.

Example

“I analyzed sales data and discovered that a particular product line was underperforming in certain regions. I presented this analysis to the sales team, which led to targeted marketing efforts in those areas. As a result, we saw a 15% increase in sales within three months.”