Be ready to go over:

• Statistical Foundations – Mean, median, mode, standard deviation, and basic probability.
• Data Interpretation – Reading complex charts, tables, and graphs to draw immediate, logical conclusions.
• Logical Problem Solving – Structuring answers to open-ended quantitative problems using frameworks.

Example scenarios:

• "If a fraud detection model has a 5% false positive rate, what are the business implications for our customer support team?"
• "You are given a dataset containing transaction timestamps. How would you identify peak fraud hours if the data spans multiple time zones?"

Fraud Prevention & Operations Support

For analysts aligned with fraud and risk teams, understanding operational workflows and communication channels is key. In some locations, this even includes physical voice or hearing clarity tests, as these analysts occasionally interact with voice-based verification systems.

Be ready to go over:

• Risk Metrics – Chargeback rates, fraud-to-sales ratios, and false positive rates.
• Pattern Recognition – Identifying sudden spikes in transaction frequency or unusual geographical spending patterns.
• Collaborative Risk Mitigation – Working with operations and customer service teams to implement fraud rules.

Example scenarios:

• "How would you prioritize alerts in a high-volume queue where both speed and accuracy are critical to preventing loss?"
• "Explain how you would analyze customer voice-verification data to find patterns of social engineering or fraud."

As a Data Analyst at Fis global, your day-to-day work will be dynamic and highly collaborative. You will be expected to manage multiple analytical streams and support various business functions.

You will spend a significant portion of your time querying large databases to extract, clean, and analyze transaction data. This involves writing efficient queries to pull data from complex financial systems and translating that data into structured reports. You will design, build, and maintain interactive dashboards using visualization tools to help business leaders monitor key performance indicators (KPIs) and operational health.

Collaboration is a core component of this role. You will work closely with product managers to evaluate the success of new features, with risk managers to refine fraud detection models, and with compliance officers to ensure all data handling aligns with strict regulatory standards. Your insights will directly support operational teams in identifying process bottlenecks and improving the overall customer experience.

Additionally, you will participate in regular team reviews to discuss data quality, refine analytical methodologies, and share best practices. This collaborative environment ensures that the analytical community at Fis global remains aligned and continuously improves its processes.

To be competitive for the Data Analyst position, you must demonstrate a strong foundation of technical skills and professional experience. The ideal candidate is someone who is technically proficient but also possesses the soft skills necessary to work across diverse global teams.

• Must-have skills – Strong proficiency in SQL for database querying and data manipulation. Advanced knowledge of Excel (including pivot tables, VLOOKUPs, and complex formulas). Experience with data visualization tools such as Power BI or Tableau. Strong foundational math and analytical reasoning skills.
• Nice-to-have skills – Experience working within the FinTech, banking, or payment processing industries. Prior experience in data privacy, risk management, or fraud prevention. Familiarity with programming languages like Python or R for data analysis. Prior experience working in a global, matrixed corporate environment.
• Experience level – Typically requires 2 to 5 years of experience in an analytical role, though internal promotion pathways at Fis global also highly value deep institutional and operational knowledge gained from support or technical service roles.

Q: How difficult is the interview process for a Data Analyst at Fis global? A: The difficulty is generally rated as average to easy, depending on the specific team and location. The technical questions focus heavily on core SQL, Excel, and math skills rather than highly complex algorithmic coding. However, you must pay close attention to detail, as assessments often include logical trick questions.

Q: Is prior experience in data privacy required for US-based roles? A: Yes, real interview experiences indicate that US-based teams looking for specific compliance or privacy analysts place a very high emphasis on this. If you are interviewing for a data privacy-focused team, having zero prior experience in this area can be a blocker to receiving an offer.

Q: What is the company culture and working environment like? A: Employees generally report a highly positive working environment with supportive managers and excellent opportunities for internal career progression. Many analysts start in operations or technical support roles and successfully transition into analyst positions, highlighting a culture that rewards performance and institutional knowledge.

Q: Are there regional differences in the interview process? A: Yes, significantly. For example, offices in Brazil (such as Barueri) often include language and mathematics tests, reading comprehension, and sometimes hearing or voice tests for fraud prevention roles, alongside mandatory pre-employment medical exams. US and UK roles lean more toward virtual panel interviews and specialized technical discussions.

To maximize your chances of success, keep these practical, insider tips in mind as you prepare for your interviews at Fis global:

• Prepare for basic aptitude tests: If you are interviewing in Latin America, do not overlook the basic Portuguese, math, and reading comprehension tests. Brush up on your basic algebra, percentages, and logical reasoning beforehand.
• Showcase your FinTech interest: Even if you do not have a background in finance, demonstrate that you understand how Fis global fits into the global payment ecosystem. Show curiosity about transaction flows, merchant services, and financial security.
• Structure your behavioral answers: Use the STAR method (Situation, Task, Action, Result) to answer behavioral questions. Focus on the data-driven decisions you made and the quantifiable business impact of your work.

• Inquire about internal mobility: Fis global has a strong track record of promoting from within. Asking your interviewers about career paths and how they support professional development shows that you are looking for a long-term commitment.

The Data Analyst role at Fis global offers an exceptional opportunity to work at the forefront of the financial technology sector. By managing, analyzing, and securing high-volume transactional data, you will play a direct role in driving business growth and protecting users worldwide. The combination of technical challenge, strategic impact, and a supportive, growth-oriented culture makes this a highly desirable career step.

As you prepare, focus on solidifying your SQL and Excel foundations, brushing up on your quantitative problem-solving, and practicing how you communicate complex data insights. Tailor your preparation to your specific region and team, ensuring you are ready for any specialized compliance or aptitude assessments.

The salary module above provides a representative view of the compensation package for this role. Use this data to understand the competitive market standards and to help guide your expectations as you progress through the final stages of the hiring process.

With focused preparation, attention to detail, and a clear understanding of the company's domain, you can walk into your interviews with confidence. For more detailed interview insights, company profiles, and preparation resources, continue exploring the tools and guides available on Dataford. Good luck with your preparation!