Headway Data Analyst interview questions & guide 2026

To help you prepare, we have categorized the types of questions you are likely to encounter during the Headway interview process. These questions are drawn from real interview experiences and reflect the core competencies the hiring team evaluates.

SQL & Technical Queries

This category tests your ability to write clean, efficient SQL code to manipulate and analyze relational databases under time pressure.

• Write a query to find the month-over-month growth rate of active therapists on the platform.
• Given a table of patient appointments and a table of therapist specialties, write a query to identify which specialties have the highest cancellation rates.

To succeed in the Headway interview process, you must demonstrate a balance of technical execution and communication prowess. The hiring team looks for candidates who can not only write flawless code but also explain why their analysis matters to the business.

Technical Execution – You must be highly proficient in SQL and comfortable manipulating messy, real-world datasets. The team evaluates your query efficiency, your logical structuring using CTEs, and your familiarity with analytical functions.

Structured Problem Solving – When faced with ambiguous business scenarios, you need to apply a structured framework. Break down complex problems into testable hypotheses, define clear success metrics, and avoid getting lost in irrelevant details.

Resilient Collaboration – Working at Headway means interacting with diverse, cross-functional teams. You must show that you can handle feedback constructively, explain your methodology clearly, and collaborate effectively even when technical opinions differ.

Mission Alignment – Headway is deeply mission-driven. You should be able to articulate a genuine interest in the mental health tech space and show how your analytical skills can help make therapy more accessible.

The interview process at Headway is structured, transparent, and designed to evaluate both your technical capabilities and your collaborative style. The company is known for providing candidates with preparation materials and clear expectations ahead of each round, though the process itself demands high rigor and preparation.

You will begin with a standard recruiter screen to align on your background and your interest in the company's mission. Following this, you will enter the technical evaluation stage, which includes a live SQL assessment. If you pass this stage, you will move to the virtual onsite loop, which consists of a structured case study, a behavioral interview, and a cross-functional collaboration interview. The process concludes with a non-evaluative manager Q&A and an in-depth reference check stage.

The visual timeline above outlines the standard progression of stages you will navigate during your candidacy. Use this flow to budget your preparation time, ensuring you master SQL fundamentals before moving on to advanced case study frameworks and behavioral prep. While the timeline is generally efficient, ensure you maintain momentum as the team moves quickly once technical benchmarks are met.

Live SQL Assessment

The live SQL assessment is a one-hour session with a member of the data team. You will be asked to solve Leetcode-style and practical database queries in real-time using a collaborative coding environment.

Be ready to go over:

• Complex Joins and Aggregations – Understanding how to join multiple transactional tables while avoiding duplicate rows and handling null values correctly.
• Window Functions – Utilizing functions like ROW_NUMBER(), RANK(), and LAG() / LEAD() to analyze sequential user events.
• Common Table Expressions (CTEs) – Structuring your queries logically so they are easy for your interviewer to follow and maintain.
• Advanced concepts (less common) – Performance tuning, writing efficient subqueries, and handling complex date-time conversions across different time zones.

Example scenarios:

• "Write a query to calculate the retention rate of patients who booked their second appointment within 14 days of their first."
• "Identify the top three therapists in each state based on the number of completed sessions last month."

Data Analyst Case Study

The case study evaluates your product sense, business acumen, and structured analytical thinking. It mimics a real-world project you would tackle as a Data Analyst at Headway.

Be ready to go over:

• Metric Frameworks – Selecting and defining key performance indicators (KPIs) that align with specific business goals.
• Root Cause Analysis – Systematically diagnosing why a key business metric might be underperforming.
• Experimentation (A/B Testing) – Designing robust experiments, defining sample sizes, and interpreting test results to make product recommendations.

Example scenarios:

• "We want to launch a new feature that matches patients to therapists using machine learning. How would you design an experiment to measure its impact?"
• "A key operations dashboard shows a drop in therapist onboarding speed. How would you investigate the bottleneck?"

Cross-Functional Collaboration & Project Critique

This interview focuses on your ability to work with non-technical stakeholders, but it also features a rigorous technical review of your past work. Be prepared for a highly detailed discussion where your previous decisions will be constructively challenged.

Be ready to go over:

• Technical Decision Making – Explaining the "why" behind your choice of tools, data models, or analytical methodologies in past roles.
• Handling Stakeholder Pushback – Demonstrating how you navigate disagreements with product managers or operations leads regarding data interpretations.
• Translating Tech to Business – Showing your ability to simplify highly technical concepts for non-technical audiences.

Example scenarios:

• "Walk me through a complex analysis you delivered. Why did you choose that specific methodology, and what would you do differently today?"
• "Describe a time when a product manager wanted to launch a feature but your data suggested it wasn't ready. How did you handle the conversation?"

As a Data Analyst at Headway, your day-to-day work will be highly dynamic and deeply integrated with the broader business operations. You will not operate in an analytical silo; instead, you will act as a strategic partner to product managers, engineers, and operations leads.

Your primary responsibility will be to own the data lifecycle for your assigned domain. This includes writing dbt models to clean and structure raw data, building intuitive Looker dashboards to democratize data access, and conducting deep-dive analyses to uncover growth opportunities. You will help the team understand marketplace liquidity, patient acquisition costs, and insurance claim success rates.

Additionally, you will play a key role in product experimentation. You will collaborate with product managers to design A/B tests, define success metrics, and analyze results to determine whether new features should be shipped, iterated on, or scrapped. Your insights will directly influence the product roadmap and help ensure that Headway scales its infrastructure efficiently.

To be competitive for the Data Analyst position at Headway, you must possess a strong foundation in data analytics, combined with excellent communication skills and a passion for solving complex, unstructured problems.

• Must-have technical skills – Advanced SQL proficiency (CTEs, window functions, query optimization), experience with modern business intelligence tools (such as Looker or Tableau), and familiarity with data warehousing concepts (such as Snowflake or Redshift).
• Must-have soft skills – Exceptional structured communication, the ability to collaborate with cross-functional stakeholders, and a resilient attitude when receiving technical feedback.
• Nice-to-have skills – Experience using dbt (data build tool) for data modeling, basic proficiency in Python or R for advanced statistical analysis, and prior experience working in a double-sided marketplace or within the healthcare/health-tech sector.
• Experience level – Typically, candidates should have at least 2 to 5 years of experience in a dedicated data analytics or product analytics role.

Q: How technical is the SQL assessment? A: The SQL assessment is highly practical and focuses on your ability to solve real-world analytical problems under time constraints. You do not need to memorize obscure syntax, but you must be incredibly comfortable with window functions, complex joins, and aggregations.

Q: What is the company culture like for the data team? A: The data team at Headway is highly collaborative, supportive, and mission-driven. They place a strong emphasis on transparency and continuous learning, though they also maintain high standards for technical execution and logical rigor.

Q: How long does the entire interview process take? A: The process typically takes between three to five weeks from the initial recruiter screen to the final decision. Headway is generally responsive and moves candidates through the stages quickly if they meet the evaluation benchmarks.

Q: Are the interviews conducted remotely? A: Yes, the entire interview process is conducted virtually. You will need a reliable internet connection, a quiet environment, and a working webcam for all video interviews.

• Understand the business model: Before your interviews, make sure you thoroughly understand how Headway operates as a double-sided marketplace that integrates with insurance providers. Be ready to discuss how this unique model impacts data tracking and analysis.
• Be structured in your case study: When walking through the case study, explicitly state your assumptions, outline your framework before diving into details, and tie your analytical recommendations back to Headway's core business objectives.
• Prepare your references early: Headway utilizes an exceptionally detailed and unique reference check stage later in the process. Keep your references informed and ready to provide deep insights into your working style and past performance.

• Practice active listening: In the cross-functional and behavioral interviews, listen carefully to the interviewer's questions and follow-up prompts. Do not get defensive if they critique your past projects; instead, treat it as a collaborative brainstorming session.

The Data Analyst role at Headway offers an incredible opportunity to leverage your analytical skills to solve meaningful, real-world challenges in the mental healthcare sector. By combining technical excellence in SQL with structured business intuition and a collaborative mindset, you can make a significant impact on how patients access affordable care.

As you prepare for your interviews, focus on mastering your technical fundamentals, refining your behavioral stories, and practicing structured problem-solving frameworks for the case study. Remember that the hiring team values clear communication and logical thinking just as much as clean code.

The salary insights above represent the competitive compensation packages offered by Headway for this role. Use this data to align your expectations and prepare for compensation discussions during the offer stage, keeping in mind that total compensation may also include equity and comprehensive benefits designed to support your overall well-being. For more detailed interview experiences and prep tools, explore the additional resources available on Dataford. Good luck with your preparation!