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Business Analyst at Maya (formerly PayMaya)
Interview Guide
Maya (formerly PayMaya)
· Reviewed by the Kareera team
Role Overview
Maya is a leading Philippine fintech company offering digital banking, mobile payments, and an integrated financial ecosystem. As a Business Analyst, you will play a central role in driving data-informed decisions that shape product strategy, improve operational efficiency, and support business growth.
Your day-to-day responsibilities will include working with large datasets, generating business insights, and collaborating with cross-functional teams such as product, marketing, and finance. You can expect to analyze user behavior, track key metrics, build dashboards, and present recommendations to stakeholders. The role demands strong quantitative skills and the ability to translate complex data into clear, actionable narratives.
Maya specifically seeks candidates with a blend of technical proficiency and business acumen. Proficiency in SQL, Python or R, and data visualization tools is essential. An understanding of the fintech landscape, digital payments, and customer journey analytics is highly valued. The ideal candidate takes strong ownership of projects and can drive results in a fast-paced environment.
Interview Process
- 1
Application Screening
Application screening for relevant fintech or analytics experience.
- 2
Initial HR Interview
Initial HR interview covering career goals and cultural fit.
- 3
Technical Screening
Technical screening covering SQL, Python or R, and data visualization.
- 4
Case Study Presentation
Case study presentation where you analyze data and deliver business insights.
- 5
Final Interview
Final interview with a senior leader focusing on strategic thinking and leadership.
The interview process for a Business Analyst at Maya typically includes an application screening for relevant fintech or analytics experience, an initial HR interview covering career goals and cultural fit, a technical screening (SQL, Python or R, data visualization), a case study presentation where you analyze data and deliver business insights, and a final interview with a senior leader focusing on strategic thinking and leadership. Candidate reports describe the process as medium difficulty with an overall favorable experience, and it can be completed in about one week.
While this structure may be similar to other data-focused roles at Maya, the case study component is specifically designed to evaluate a candidate's ability to generate actionable insights and communicate them effectively, key demands of the Business Analyst position.
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Interview Questions
Practice the actual questions asked for this role, with sample STAR answers, in the Question Bank:
Tell me about a time you took full ownership of a project from end to end. What challenges did you face, and what was the outcome?Practice this →Write a SQL query to find the top 5 merchants by transaction volume in the last quarter from a transactions table with columns: transaction_id, merchant_id, transaction_date, amount. Explain your approach.Practice this →Imagine our user engagement dropped by 20% after a recent app update. How would you investigate the cause and present your findings to stakeholders?Practice this →If you had to prioritize features for a new digital banking product with limited resources, how would you approach the decision-making process?Practice this →
Interview Tips
First, prepare thoroughly for the technical screening. This part of the Maya Business Analyst interview heavily tests SQL, Python or R, and data visualization. Practice writing queries to extract and manipulate data, and be ready to create charts or dashboards on the spot. Familiarity with tools like Tableau or Power BI is a plus.
Second, focus on delivering a compelling case study presentation. You will likely receive a dataset related to a business problem. Concentrate on clear, concise insights that tie back to Maya's products, such as user engagement, transaction trends, or customer retention. Ensure your recommendations are practical and data-backed, and demonstrate business sense in the fintech space.
Third, show strategic thinking and a sense of ownership. In the senior leader interview, discuss how you would use data to drive decisions, handle ambiguous requests, and collaborate across teams. Research Maya's recent initiatives in digital banking and payments, and think about how analytics can support their growth. Emphasize your initiative and ability to manage projects end-to-end, as Maya values a strong ownership culture.
FAQs
What is the interview process for a Business Analyst at Maya?
The process typically includes an application screening, an HR interview, a technical screening covering SQL, Python or R, and data visualization, a case study presentation, and a final interview with a senior leader. Based on candidate reports, the entire process can be completed in about one week.
What technical skills does Maya test for a Business Analyst role?
The technical screening evaluates your proficiency in SQL for data extraction and manipulation, Python or R for analysis, and data visualization tools. You may be asked to write queries, analyze a dataset, and create visual summaries on the spot.
What is the case study presentation like for a Business Analyst at Maya?
You will likely be given a dataset and asked to derive business insights. The presentation focuses on your analytical approach, clarity of communication, and ability to turn data into actionable recommendations. It helps to frame your insights around Maya's digital payment and banking context.
How long does it take to get hired as a Business Analyst at Maya?
According to available candidate feedback, the hiring process for this role can be as quick as one week from application to offer. However, individual experiences may vary depending on scheduling and applicant volume.
What is the company culture like for Business Analysts at Maya?
Maya fosters a culture of strong project ownership and offers competitive compensation and benefits. Work-life balance is generally good, and flexible arrangements are available for most roles. Some former employees have reported occasional payroll or finance-related issues, so it is advisable to clarify compensation details during your HR discussion.