Arch Global Services Philippines Data Analyst interview questions & guide 2026

The following questions reflect the patterns observed in our hiring process. While specific inquiries may vary based on your interviewer and team, these categories highlight the core competencies we prioritize.

Technical Proficiency

These questions test your ability to handle the daily analytical tasks required for the role.

• Can you describe your experience with SQL joins and subqueries in a production environment?
• How do you ensure data accuracy when performing reconciliations between different source systems?

Preparation at Arch Global Services Philippines should be structured and systematic. You are being evaluated not just on what you know, but on how you apply your knowledge to solve real-world financial and data-related problems.

Technical Competency – You must demonstrate mastery of SQL, Excel, and PowerBI. Expect to be tested on your ability to write efficient queries and create visualizations that are both clean and functional.

Problem-Solving Ability – We look for a logical, structured approach to challenges. When presented with a case study or a data issue, clearly articulate your steps for diagnosis, validation, and resolution.

Attention to Detail – In finance-related analytics, accuracy is paramount. You should be able to discuss how you validate your own work and the measures you take to ensure data integrity.

Communication and Collaboration – You will frequently interact with senior analysts and cross-functional teams. Being able to communicate your methodology and findings clearly is as important as the analysis itself.

The interview process at Arch Global Services Philippines is designed to be professional, transparent, and efficient. We prioritize a well-coordinated approach, ensuring that each stage of the assessment provides you with a clear view of our expectations and gives us a comprehensive look at your capabilities. You can expect a sequence that includes technical assessments, team-focused interviews, and discussions regarding your professional background.

This timeline illustrates a standard progression from initial screening to technical evaluation and final managerial review. Candidates should use this as a guide to pace their technical review—focusing on SQL and reporting tools early—and prepare their behavioral stories in advance of the final rounds. Note that some roles may involve a preliminary aptitude or technical exam before you are invited to a live interview.

Technical Analytics

We evaluate your ability to manipulate data and build reports. Strong performance involves demonstrating clean coding habits and an understanding of data architecture.

Be ready to go over:

• SQL Server – Advanced queries and database interactions.
• Data Visualization – Best practices for PowerBI dashboard design.

Your core mission is to support the Account Finance and Reporting team. You will be responsible for the full lifecycle of reporting, from data extraction and cleansing to final presentation. This involves:

• Report Generation: Maintaining and delivering periodic management reports using SQL and PowerBI.
• Data Reconciliation: Ensuring that all data pulled from various sources is accurate, consistent, and validated against enterprise standards.
• Process Improvement: Actively seeking out opportunities to automate manual workflows, which is vital for increasing team efficiency.
• Stakeholder Support: Collaborating with cross-functional teams to provide ad-hoc analytical support and clear, actionable insights.

We seek candidates who bring a mix of technical precision and relevant industry experience.

• Must-have skills:
  • 1–3+ years of experience in data analytics or finance.
  • Intermediate to advanced SQL and Excel proficiency.
  • Experience with SQL Server and PowerBI.
  • Strong critical thinking and problem-solving skills.
• Nice-to-have skills:
  • Prior experience or background in the insurance industry.
  • Exposure to financial reporting metrics (e.g., accruals, prepayments).
  • Familiarity with data automation tools and scripting.
• Education: B.S. Degree in Finance, Computer Science, Information Technology, or Data Analytics.

Q: How difficult are the technical assessments? A: The assessments are designed to be practical. If you have a solid grasp of SQL and Excel as used in a professional finance environment, you will find them manageable.

Q: What is the most common reason candidates succeed? A: Successful candidates demonstrate not just technical skill, but a proactive mindset—they don't just report numbers; they suggest ways to improve the process behind them.

Q: How long does the entire process take? A: While it varies, we aim for an efficient and timely process. You will be kept informed of your status at every stage.

Q: Is there a preference for specific backgrounds? A: While we hire from various fields, a background in finance or insurance is highly valued because it reduces the learning curve for our specific reporting requirements.

• Structure your answers: Use the STAR method (Situation, Task, Action, Result) for behavioral questions to keep your responses concise and impactful.
• Be ready for technical testing: If you are a fresher or have under two years of experience, expect an aptitude or technical exam. Practice your SQL queries beforehand.
• Know your resume: Be prepared to discuss your past projects in detail, especially your thesis or any complex data projects you have led.
• Ask questions: Use the interview to learn about the team’s current pain points regarding data; it shows you are already thinking like a contributor.

The Data Analyst role at Arch Global Services Philippines is a gateway to high-impact work within our finance and reporting operations. By mastering the technical requirements—specifically SQL and PowerBI—and demonstrating a proactive, detail-oriented approach, you position yourself as a strong candidate for this team.

Preparation is your greatest asset. Review your technical foundations, practice articulating your previous experiences, and approach each interview with the confidence that you have the skills to contribute to our goals. We look forward to seeing how your analytical expertise can help us drive accuracy and efficiency across our organization.

The salary data provided represents the competitive range for this role. Candidates should interpret these figures as a reflection of the scope and responsibility associated with the position, keeping in mind that final offers are commensurate with experience and technical proficiency.