Preparing for an interview at Seatgeek requires a balanced approach that combines sharp technical execution with strong business communication. You will be evaluated not just on your ability to write clean code, but on how effectively you apply your technical skills to solve ambiguous business problems.

Technical Rigor – You must demonstrate a deep, practical mastery of SQL and data manipulation. Expect live-coding challenges where syntax correctness, query efficiency, and logical structuring are evaluated in real time.

Structured Business Thinking – When presented with case studies, avoid jumping straight to technical metrics. Begin by defining the business objective, structuring your framework, and then identifying the specific data points needed to drive a decision.

Stakeholder Communication – You will interact with cross-functional partners who may not have a technical background. Practice translating complex statistical concepts, such as confidence intervals or attribution models, into clear, actionable business recommendations.

Cultural Alignment – Seatgeek values curiosity, collaboration, and a passion for live events. Be prepared to discuss how you proactively identify problems, collaborate across teams, and advocate for the user experience in your analyses.

The interview process for a Data Analyst at Seatgeek is comprehensive and designed to thoroughly evaluate your technical capability, business acumen, and cultural fit. Candidates can expect a structured journey that moves from initial screening to intensive technical evaluations, culminating in a multi-hour panel interview.

The process typically begins with a recruiter screen, which focuses on your background, your interest in the company, and your high-level technical experience. From there, you will transition to a live technical assessment, often conducted over a collaborative coding platform like CodeSignal. This round is highly focused on hands-on coding, testing your speed, accuracy, and problem-solving framework under time constraints.

If you pass the technical screen, you will move to a series of deep-dive interviews with the hiring manager and team leads. These conversations focus on your past project experience, technical stack familiarity, and scenario-based case studies. The final stage is a virtual onsite panel, which can last between three and four hours. This panel includes cross-functional stakeholders, analytics directors, and occasionally senior leadership, focusing heavily on behavioral alignment, strategic thinking, and your ability to influence business decisions.

The visual timeline above outlines the standard progression of the Seatgeek interview pipeline. Candidates should use this sequence to pace their preparation, ensuring they master core technical skills before shifting focus to high-level system design and behavioral framework practice. While the sequence remains consistent, the depth of the case studies may vary depending on the specific team and seniority level.

To succeed at Seatgeek, you must understand the specific competencies your interviewers are looking for. Each stage of the interview targets a distinct set of skills.

Live Coding & Technical Execution

This area evaluates your foundational data manipulation skills. Interviewers want to see if you can write clean, efficient, and bug-free code under pressure, particularly in SQL and Python.

Be ready to go over:

• SQL Mastery – Advanced joins, window functions, CTEs, and aggregation techniques.
• Python Data Structures – Manipulating dataframes, handling nested JSON, and parsing API responses.
• Code Optimization – Identifying bottleneck queries and optimizing execution time for large datasets.
• Data Validation – Implementing checks to ensure your query outputs are accurate and handle edge cases like null values.

Example questions or scenarios:

• "Write a SQL query to find the user retention rate month-over-month for the past year."
• "Using Python, clean this raw API log dataset and extract the device type from the nested user-agent string."
• "Optimize this query to reduce its run time on a table containing hundreds of millions of ticket transaction records."

Business Case Studies & Experimentation

This evaluation area tests your ability to apply quantitative methods to strategic business problems. You will need to demonstrate strong statistical intuition and product sense.

Be ready to go over:

• A/B Testing Frameworks – Hypothesis formulation, sample size calculation, and interpreting p-values.
• Marketing Attribution – Multi-touch attribution, baseline incrementality, and media mix modeling.
• Customer Segmentation – Defining high-value cohorts and analyzing user behavior patterns.
• Exploratory Data Analysis – Investigating sudden drops in conversion rates or marketing channel efficiency.

Example questions or scenarios:

• "How would you design an experiment to test a new bidding strategy for search engine marketing (SEM)?"
• "We want to launch a loyalty program for frequent concert-goers. How would you measure its incremental lift?"
• "Walk me through how you would build a framework to monitor and alert the team to sudden shifts in ticket purchase funnels."