Remitly Business Analyst Interview Questions + Guide in 2025

Remitly is a pioneering financial services company dedicated to transforming lives by providing trusted money transfer solutions that cross borders seamlessly.

As a Business Analyst at Remitly, you will play a crucial role in shaping strategies and experiences for the company's lending products. Your responsibilities will include conducting financial assessments of various lending strategies, collaborating closely with product and engineering teams to conceptualize innovative solutions, and defining key performance indicators (KPIs) that drive economic success. A strong analytical mindset is essential, as you will be responsible for building lifetime value (LTV) models, executing experiments to validate key performance assumptions, and analyzing data sources to enhance customer segmentation and underwriting processes. Candidates should possess a quantitative degree and have a minimum of five years of experience in analytics, particularly within consumer or small business lending. Familiarity with SQL, Python or R for modeling, and dashboarding technologies is also required.

This guide is designed to help you navigate the interview process at Remitly by providing insight into the role and the specific expectations of the company. By preparing with this information, you can showcase your alignment with Remitly’s values and demonstrate your readiness to contribute to its mission.

The interview process for a Business Analyst role at Remitly is structured to assess both technical skills and cultural fit, reflecting the company's commitment to its values and mission. The process typically unfolds in several stages:

1. Initial Screening

The process begins with a phone screening conducted by a recruiter. This initial conversation usually lasts around 30 minutes and focuses on your background, motivations for applying, and alignment with Remitly's values. Expect questions that gauge your understanding of the company and its mission, as well as your previous experiences relevant to the role.

2. Technical Assessment

Following the initial screening, candidates are often required to complete a technical assessment. This may involve a timed take-home project or a live coding session, where you will be asked to solve problems using tools like Excel or SQL. The assessment is designed to evaluate your analytical skills and ability to work with data, which are crucial for the Business Analyst position.

3. Interview with Hiring Manager

After successfully completing the technical assessment, candidates typically have a one-on-one interview with the hiring manager. This interview focuses on your past experiences, behavioral questions, and how you approach problem-solving. The hiring manager will be interested in understanding how your skills and experiences align with the needs of the team and the company.

4. Panel Interview

The final stage usually consists of a panel interview, which may include multiple team members from various departments such as product, engineering, and data. This round is more comprehensive, often lasting several hours, and includes a mix of behavioral questions, case studies, and technical discussions. The panel will assess your ability to collaborate across teams and your fit within the company culture.

Throughout the interview process, candidates are encouraged to ask thoughtful questions that demonstrate their understanding of Remitly's business and values.

Next, let's explore the specific interview questions that candidates have encountered during this process.

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

Understand the Company’s Values

Remitly places a strong emphasis on its core values, such as customer centricity, integrity, and a bias for action. Familiarize yourself with these values and prepare to discuss how your past experiences align with them. Be ready to provide specific examples that demonstrate your commitment to these principles, as interviewers will likely assess your cultural fit based on your responses.

Prepare for a Multi-Round Process

The interview process at Remitly typically involves multiple rounds, including a recruiter call, technical assessments, and interviews with various team members. Be prepared for a thorough evaluation that may include behavioral questions, case studies, and technical challenges. Familiarize yourself with the structure of the interview process and practice articulating your experiences clearly and confidently.

Brush Up on Technical Skills

As a Business Analyst, you will need to demonstrate proficiency in SQL and analytical tools. Expect to encounter technical assessments that may involve SQL queries or Excel-based problem-solving. Review key concepts in data analysis, customer segmentation, and financial modeling, as these will be crucial in your role. Practice coding problems and analytical scenarios to ensure you can think on your feet during the interview.

Showcase Your Analytical Thinking

Remitly values candidates who can think critically and analytically. Be prepared to discuss your approach to problem-solving, particularly in the context of financial analysis and lending strategies. Use the STAR (Situation, Task, Action, Result) method to structure your responses, ensuring you highlight your analytical skills and the impact of your decisions on business outcomes.

Engage with Interviewers

The interviewers at Remitly are known for being friendly and encouraging. Take this opportunity to engage with them by asking thoughtful questions about their experiences and the company culture. This not only shows your interest in the role but also helps you gauge if Remitly is the right fit for you. Prepare questions that reflect your understanding of the business and its challenges, as well as your eagerness to contribute.

Be Ready for Behavioral Questions

Expect a significant focus on behavioral questions during your interviews. Prepare to discuss specific instances where you demonstrated leadership, overcame challenges, or made data-driven decisions. Highlight your ability to work collaboratively across teams, as this is essential in a cross-functional environment like Remitly.

Follow Up Professionally

After your interviews, send a thank-you email to express your appreciation for the opportunity to interview. This is not only courteous but also reinforces your interest in the position. If you don’t hear back within the expected timeframe, consider following up politely to inquire about your application status. This demonstrates your proactive nature and continued interest in the role.

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

In this section, we’ll review the various interview questions that might be asked during a Business Analyst interview at Remitly. The interview process will likely assess your analytical skills, understanding of financial products, and alignment with the company's values. Be prepared to discuss your past experiences, technical skills, and how you can contribute to the growth of Remitly's lending business.

Experience and Background

1. Can you describe a project where you had to analyze financial data to drive business decisions?

This question aims to understand your practical experience in analyzing financial data and how it influenced decision-making.

How to Answer

Discuss a specific project where your analysis led to actionable insights. Highlight the tools you used, the data you analyzed, and the impact of your findings on the business.

Example

“In my previous role, I analyzed customer transaction data to identify trends in spending behavior. By using SQL to extract relevant data and Tableau for visualization, I presented my findings to the management team, which led to the implementation of a targeted marketing campaign that increased customer engagement by 20%.”

2. How do you prioritize tasks when working on multiple projects?

This question assesses your time management and prioritization skills, which are crucial for a Business Analyst.

How to Answer

Explain your approach to prioritization, including any frameworks or tools you use to manage your workload effectively.

Example

“I prioritize tasks based on their impact and urgency. I use a project management tool to track deadlines and progress, and I regularly communicate with stakeholders to ensure alignment on priorities. For instance, during a recent project, I focused on high-impact tasks first, which allowed us to meet our deadlines without compromising quality.”

Technical Skills

3. What is your experience with SQL, and can you provide an example of a complex query you wrote?

This question evaluates your technical proficiency with SQL, which is essential for data analysis in this role.

How to Answer

Share your experience with SQL, including the types of queries you’ve written and the context in which you used them.

Example

“I have over five years of experience using SQL for data analysis. One complex query I wrote involved joining multiple tables to analyze customer behavior across different segments. I used window functions to calculate the average transaction value per segment, which helped the marketing team tailor their strategies effectively.”

4. Describe a time when you used statistical methods to solve a business problem.

This question tests your understanding of statistical concepts and their application in real-world scenarios.

How to Answer

Provide a specific example where you applied statistical methods to derive insights or solve a problem.

Example

“In a previous role, I used logistic regression to predict customer churn. By analyzing historical data, I identified key factors contributing to churn and presented my findings to the product team. This led to the development of a retention strategy that reduced churn by 15% over six months.”

Behavioral Questions

5. Tell me about a time when you had to work with a cross-functional team. How did you ensure effective collaboration?

This question assesses your teamwork and communication skills, which are vital for a Business Analyst.

How to Answer

Discuss a specific instance where you collaborated with different teams, focusing on how you facilitated communication and collaboration.

Example

“I worked on a project that required input from the marketing, engineering, and finance teams. I organized regular check-in meetings to ensure everyone was aligned on goals and progress. By fostering open communication and encouraging feedback, we successfully launched the project ahead of schedule.”

6. How do you handle ambiguity in your work?

This question evaluates your ability to navigate uncertain situations, which is common in analytical roles.

How to Answer

Share your approach to dealing with ambiguity, including any strategies you use to clarify requirements or gather information.

Example

“When faced with ambiguity, I first seek to gather as much information as possible by asking questions and conducting preliminary research. For example, during a project with unclear objectives, I organized a brainstorming session with stakeholders to clarify their needs, which helped us define a clear path forward.”

Case Studies and Problem-Solving

7. Imagine you are tasked with evaluating a new lending product. What key performance indicators (KPIs) would you consider?

This question tests your understanding of financial metrics and your ability to evaluate product performance.

How to Answer

Discuss the KPIs you would consider and explain why they are important for evaluating a lending product.

Example

“I would consider KPIs such as loan approval rates, default rates, customer acquisition costs, and customer lifetime value. These metrics provide insights into the product's performance, profitability, and customer satisfaction, allowing us to make informed decisions about its viability.”

8. How would you approach creating a customer segmentation model for a new lending product?

This question assesses your analytical thinking and understanding of customer segmentation.

How to Answer

Outline your approach to developing a segmentation model, including the data you would use and the methods you would apply.

Example

“I would start by analyzing existing customer data to identify key characteristics such as demographics, transaction history, and credit scores. Using clustering techniques, I would segment customers into distinct groups based on their behaviors and needs. This would enable us to tailor our lending products and marketing strategies effectively.”