Ing-Diba Data Analyst Interview Questions + Guide in 2025

Ing-Diba is a leading digital bank that prioritizes customer satisfaction and work-life balance while offering innovative banking solutions.

As a Data Analyst at Ing-Diba, you will play a crucial role in understanding customer behavior and enhancing digital banking experiences. Your primary responsibilities will include analyzing vast data sets to extract meaningful insights, preparing reports to communicate findings effectively to various stakeholders, and collaborating with cross-functional teams to implement data-driven strategies. A solid foundation in statistics, SQL, and analytics is essential, as you will frequently work with tools like Power BI and Excel to visualize data and track key performance indicators. You should also possess strong interpersonal skills, as effective communication with both technical and non-technical teams will be key to your success in this role.

To excel at Ing-Diba, you should be naturally curious, motivated, and committed to continuous improvement. Your ability to analyze customer feedback and identify areas for enhancement will directly contribute to the bank's goal of providing a seamless and personalized banking experience. This guide will prepare you for the interview process by highlighting the essential skills and experiences valued by Ing-Diba, helping you stand out as a candidate who aligns with their mission and culture.

The interview process for a Data Analyst role at Ing-Diba is structured to assess both technical skills and cultural fit within the organization. It typically consists of several rounds, each designed to evaluate different aspects of a candidate's qualifications and personality.

1. Initial HR Screening

The process begins with an initial screening interview conducted by an HR representative. This conversation usually lasts around 30-45 minutes and focuses on understanding your background, motivations for applying, and general fit for the company culture. Expect questions about your resume, your interest in the banking sector, and your understanding of the role.

2. Technical Interview

Following the HR screening, candidates typically undergo a technical interview. This round may involve a mix of coding challenges, particularly focusing on SQL and data analysis tools such as Power BI or Excel. You may be asked to solve practical problems or demonstrate your analytical skills through real-world scenarios. The interviewers will assess your ability to work with data, your familiarity with statistical methods, and your problem-solving approach.

3. Behavioral Interview

The next step is often a behavioral interview, where the focus shifts to your soft skills and how you handle various workplace situations. Interviewers will ask situational questions to gauge your interpersonal skills, teamwork, and conflict resolution abilities. Be prepared to share specific examples from your past experiences that highlight your strengths and how you align with Ing-Diba's values.

4. Final Interview with Management

The final round usually involves a meeting with a hiring manager or team lead. This interview is more in-depth and may cover your technical expertise in greater detail, as well as your long-term career goals. Expect to discuss your previous projects, how you approach data-driven decision-making, and your understanding of customer experience metrics. This round is also an opportunity for you to ask questions about the team dynamics and the company's future direction.

5. Assessment and Feedback

In some cases, candidates may be required to complete additional assessments, such as personality tests or case studies, to further evaluate their fit for the role. After all interviews are completed, candidates can expect timely feedback regarding their application status.

As you prepare for your interviews, consider the types of questions that may arise in each of these stages.

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

Understand the Interview Structure

The interview process at Ing-Diba typically consists of multiple rounds, including an initial HR screening followed by technical interviews with managers. Familiarize yourself with this structure and prepare accordingly. Expect to discuss your resume in detail, so be ready to articulate your experiences and how they relate to the role of a Data Analyst.

Emphasize Your Technical Skills

Given the importance of SQL and analytics in this role, ensure you are well-versed in these areas. Brush up on your SQL skills, particularly in writing complex queries and working with databases. Additionally, be prepared to discuss your experience with data visualization tools like Power BI or Tableau, as these are crucial for presenting your findings effectively.

Prepare for Behavioral Questions

Ing-Diba places a strong emphasis on soft skills and cultural fit. Be ready to answer behavioral questions that explore your motivations, teamwork, and conflict resolution skills. Use the STAR (Situation, Task, Action, Result) method to structure your responses, providing clear examples from your past experiences that demonstrate your capabilities.

Showcase Your Understanding of the Banking Sector

As a Data Analyst in a banking environment, it’s essential to demonstrate your understanding of the financial industry and its regulatory landscape. Be prepared to discuss how data analysis can impact customer experience and risk management within the banking sector. This knowledge will show your potential employer that you are not only technically proficient but also aware of the broader context in which you will be working.

Be Ready for Situational Questions

Expect situational questions that assess how you would handle specific challenges in the role. These may involve analyzing customer feedback or optimizing product strategies based on data insights. Think through potential scenarios in advance and consider how you would approach them, focusing on your analytical thinking and problem-solving skills.

Communicate Clearly and Confidently

Throughout the interview, aim to communicate your thoughts clearly and confidently. Practice articulating your ideas and findings in a way that is accessible to both technical and non-technical audiences. This skill is particularly important for a Data Analyst, as you will often need to present complex data in a comprehensible manner.

Show Enthusiasm for the Role and Company

Finally, express genuine enthusiasm for the position and the company. Research Ing-Diba’s values and recent initiatives, and be prepared to discuss why you want to work there specifically. This will help you connect with your interviewers and demonstrate that you are a good cultural fit for the organization.

By following these tips and preparing thoroughly, you will position yourself as a strong candidate for the Data Analyst role at Ing-Diba. Good luck!

In this section, we’ll review the various interview questions that might be asked during a Data Analyst interview at Ing-Diba. The interview process will likely focus on a combination of technical skills, analytical thinking, and behavioral competencies. Candidates should be prepared to discuss their experience with data analysis tools, statistical methods, and their understanding of customer experience metrics.

Technical Skills

1. What data analysis tools and technologies are you most familiar with?

This question aims to assess your technical proficiency and familiarity with industry-standard tools.

How to Answer

Discuss the specific tools you have used, such as SQL, Power BI, or Python, and provide examples of how you have applied them in your previous roles.

Example

“I have extensive experience with SQL for data querying and manipulation, as well as Power BI for data visualization. In my last role, I used SQL to extract customer data from our database and created interactive dashboards in Power BI to present insights to stakeholders.”

2. Can you explain how you would approach a data cleaning process?

This question evaluates your understanding of data integrity and preparation.

How to Answer

Outline the steps you would take to clean data, including identifying missing values, removing duplicates, and standardizing formats.

Example

“I would start by identifying and addressing missing values, either by imputing them or removing the affected records. Next, I would check for duplicates and inconsistencies in data formats, ensuring that all entries are standardized for analysis.”

3. Describe a project where you used statistical methods to analyze data.

This question seeks to understand your practical application of statistical techniques.

How to Answer

Provide a specific example of a project, the statistical methods you used, and the insights you gained from the analysis.

Example

“In a recent project, I conducted a regression analysis to understand the factors affecting customer satisfaction scores. By analyzing the data, I identified key drivers such as response time and product quality, which helped the team prioritize improvements.”

4. How do you ensure the accuracy of your data analysis?

This question assesses your attention to detail and commitment to quality.

How to Answer

Discuss the methods you use to validate your data and analysis, such as cross-referencing with other data sources or peer reviews.

Example

“I ensure accuracy by cross-referencing my findings with other data sources and conducting peer reviews of my analysis. Additionally, I perform sanity checks on the data to identify any anomalies before drawing conclusions.”

5. What is your experience with SQL, and can you provide an example of a complex query you have written?

This question tests your SQL skills and ability to handle complex data retrieval tasks.

How to Answer

Share your experience with SQL and describe a specific complex query you wrote, explaining its purpose and outcome.

Example

“I have used SQL extensively for data extraction and manipulation. One complex query I wrote involved multiple joins across several tables to generate a comprehensive report on customer transactions, which helped identify trends in purchasing behavior.”

Behavioral Questions

1. Why do you want to work at Ing-Diba?

This question gauges your motivation and alignment with the company’s values.

How to Answer

Express your interest in the company’s mission and how your skills align with their goals.

Example

“I admire Ing-Diba’s commitment to customer-centric banking and innovation. I believe my analytical skills and passion for improving customer experiences align well with the company’s mission.”

2. Describe a time when you had to deal with a difficult stakeholder. How did you handle it?

This question assesses your interpersonal skills and conflict resolution abilities.

How to Answer

Provide a specific example of a challenging situation, your approach to resolving it, and the outcome.

Example

“In a previous role, I had a stakeholder who was resistant to changes based on my analysis. I scheduled a meeting to discuss their concerns, presented my findings with supporting data, and ultimately reached a compromise that addressed their needs while implementing necessary changes.”

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

This question evaluates your time management and organizational skills.

How to Answer

Discuss your approach to prioritization, such as using project management tools or assessing deadlines and impact.

Example

“I prioritize tasks by assessing deadlines and the potential impact of each project. I use project management tools to keep track of my progress and ensure that I allocate time effectively to meet all deadlines.”

4. Tell me about a time when you made a mistake in your analysis. How did you handle it?

This question tests your accountability and problem-solving skills.

How to Answer

Share a specific instance, how you recognized the mistake, and the steps you took to rectify it.

Example

“I once miscalculated a key metric in a report. Upon reviewing my work, I noticed the error and immediately informed my manager. I corrected the analysis and communicated the updated findings to the team, ensuring transparency and learning from the experience.”

5. How do you stay updated with the latest trends in data analysis and customer experience?

This question assesses your commitment to professional development.

How to Answer

Discuss the resources you use to stay informed, such as industry publications, online courses, or networking events.

Example

“I regularly read industry publications and blogs, participate in webinars, and attend conferences to stay updated on the latest trends in data analysis and customer experience. I also engage with professional networks to exchange insights with peers.”