At Faire, the Business Analyst role is a highly strategic, cross-functional position designed to power data-driven decision-making across our two-sided marketplace. Faire connects hundreds of thousands of independent retailers with unique brands globally, creating a highly complex ecosystem. As a Business Analyst, you will sit at the intersection of product, engineering, operations, and strategy, translating massive amounts of transactional and behavioral data into actionable growth opportunities.

Your work will directly influence critical business levers, including retailer retention, brand onboarding, search and recommendation relevance, and marketplace logistics. By building robust data pipelines, designing rigorous experiments, and developing deep-dive analytical models, you will help independent businesses compete on a level playing field with retail giants.

This role is not about merely generating static reports; it requires a blend of advanced technical execution, product empathy, and business strategy. You will be expected to own your analyses from initial data discovery to executive presentation, shaping the product roadmap and operational strategies that drive Faire forward.

To succeed in the Faire interview process, you must be prepared for a variety of technical, analytical, and situational questions. The interviewers evaluate your ability to structure ambiguous problems, write clean code under time pressure, and communicate complex data insights to cross-functional stakeholders.

SQL & Technical Skills

This category tests your ability to query complex databases, optimize performance, and manipulate data accurately.

• Write a SQL query to calculate the month-over-month retention rate of retailers purchasing from a specific brand category.
• Given a table of user transactions and a table of user logins, find the average time elapsed between a user's first login and their first purchase.

To stand out in the Faire interview loop, you need to prepare systematically across several core competencies. The hiring team looks for candidates who possess a rare combination of technical execution and business strategy.

Technical Rigor – You must demonstrate advanced proficiency in SQL and Python. For the Business Analyst role, coding is not just a secondary skill; you must be able to write optimized queries live and use Python for advanced data visualization and statistical analysis.

Structured Problem Solving – When faced with ambiguous business cases, you should avoid jumping straight to a solution. Instead, outline a clear framework, state your assumptions explicitly, and systematically break down the problem into logical components.

Product & Business Acumen – You need to understand how two-sided marketplaces operate. Familiarize yourself with retail and wholesale dynamics, supply and demand matching, customer acquisition costs (CAC), lifetime value (LTV), and cohort retention metrics.

Communication & Stakeholder Influence – Successful analysts at Faire do not just deliver data; they deliver recommendations. You must be able to translate complex statistical findings into clear, high-level business takeaways for non-technical product managers and executives.

The interview process for a Business Analyst at Faire is thorough and designed to test both your hard technical skills and your strategic thinking. The process typically spans several weeks, requiring consistency and deep preparation at every stage.

The journey begins with a standard recruiter phone screen to review your background, career goals, and basic alignment with the role. Following this, you will transition to a screening round with a hiring manager or senior analyst. This round focuses heavily on your product sense, analytical experience, and behavioral alignment. If you pass this initial screen, you will be handed a comprehensive take-home data challenge, which serves as the technical foundation for the remainder of your interviews.

Once your take-home submission is reviewed and approved, you will move to the final "onsite" loop, which is conducted virtually. This loop is highly intensive and includes a presentation of your take-home findings, a live SQL coding assessment, and several cross-functional interviews with Product Managers and Strategy Directors.

The visual timeline above outlines the typical progression from your initial recruiter contact to the final decision. Candidates should expect a rigorous evaluation at each gate, with a strong emphasis on technical execution in the middle stages and strategic collaboration in the final loop. Use this timeline to pace your preparation, ensuring your SQL and Python skills are sharp before you receive the take-home assignment.

To pass the rigorous bar at Faire, you must understand the exact evaluation criteria for each major stage of the technical and strategic loop.

Live SQL Coding

The live SQL assessment is a 45-minute technical session with an Analytics Engineer or Senior Analyst. You will be expected to write clean, executable SQL code to solve complex data retrieval and manipulation problems in real-time.

Be ready to go over:

• Advanced Joins and CTEs – Joining multiple transactional tables, handling many-to-many relationships, and structuring readable queries using Common Table Expressions.
• Window Functions – Utilizing ROW_NUMBER(), RANK(), LEAD(), LAG(), and running totals to analyze user behavior over time.
• Aggregation and Filtering – Grouping complex data, using conditional aggregation (CASE WHEN), and filtering aggregated data using HAVING.
• Advanced concepts (less common) – Query optimization strategies, indexing, handling recursive relationships, and understanding database execution plans.

Example questions or scenarios:

• "Given a table of retailer orders, write a query to find the top 3 most purchased brand categories for each retailer, ranking them by total spend."
• "Calculate the rolling 7-day average of active brands on the platform who have uploaded at least one new product."

Take-Home Data Challenge & Presentation

The take-home assignment is a critical component of the Faire interview. You will receive a large, multi-field dataset (often containing several hundred thousand rows and over 20 fields) and a set of open-ended business questions.

Be ready to go over:

• Data Discovery & Cleaning – Identifying anomalies, missing values, and outliers in a massive dataset, and detailing how you resolved them.
• Exploratory Data Analysis (EDA) – Using Python (Pandas, NumPy) to uncover non-obvious correlations, seasonal trends, or cohort behaviors.
• Data Visualization – Creating highly professional, clear charts (using Seaborn, Matplotlib, or Tableau) that convey complex insights instantly.
• Executive Presentation – Translating your technical findings into a structured slide deck that outlines the business problem, your methodology, key insights, and concrete strategic recommendations.

Example questions or scenarios:

• "Analyze this dataset of retailer interactions and recommend which product categories Faire should prioritize for its upcoming marketing campaign."
• "Identify the primary drivers of brand churn based on the provided transactional and messaging data."

Product & Business Case Study

This interview evaluates your ability to think like a Product Manager and apply quantitative frameworks to qualitative business problems.

Be ready to go over:

• Metric Frameworks – Defining North Star metrics, input/output metrics, and guardrail metrics for new product launches.
• Root Cause Analysis – Systematically diagnosing unexpected drops or spikes in core marketplace metrics.
• A/B Testing & Experimentation – Designing statistically sound experiments, determining sample sizes, and interpreting test results in the presence of network effects.

Example questions or scenarios:

• "We want to launch a new loyalty program for retailers. How would you design the pilot program, and what metrics would you use to decide if we should roll it out globally?"
• "If search CTR increases but overall checkout conversion decreases, what hypotheses would you investigate to explain this divergence?"