NTT Data Corporation Business Intelligence Interview Questions + Guide in 2025

NTT Data Corporation is a trusted global innovator in business and technology services, dedicated to helping clients innovate and transform for long-term success.

As a Business Intelligence Engineer at NTT Data Corporation, you will play a crucial role in leveraging data to drive business decisions. This position primarily focuses on developing and managing business intelligence solutions, utilizing tools like Tableau and Alteryx, to support organizational objectives. Key responsibilities include administering Tableau Cloud, mentoring Tableau developers, creating and publishing data sources, and collaborating with senior leadership to derive insights that influence strategic initiatives. Proficiency in SQL for data preparation and reporting is essential, alongside a strong understanding of user management and data governance practices.

To excel in this role, you should embody the company's values by being a lifelong learner, a team player, and an effective communicator. Your ability to troubleshoot and advocate best practices within the BI community will greatly enhance your contribution to the organization.

This guide will help you prepare for your interview by providing a deeper understanding of the expectations and responsibilities associated with the Business Intelligence Engineer role at NTT Data Corporation, positioning you for success.

The interview process for a Business Intelligence role at NTT Data Corporation is structured to assess both technical expertise and managerial capabilities. It typically consists of three main rounds, each designed to evaluate different aspects of your qualifications and fit for the role.

1. Technical Interview

The first round is a face-to-face technical interview that lasts approximately 40 minutes. This round focuses on your core technical skills, particularly in SQL and business intelligence tools such as Tableau. Expect scenario-based questions that challenge your problem-solving abilities and require you to demonstrate your understanding of data management concepts, including the differences between views and materialized views. You may also be asked to discuss your experience with other BI tools, as familiarity with a range of technologies can be advantageous.

2. Managerial Interview

Following the technical assessment, you will participate in a managerial interview, which typically lasts around 30 minutes. This round is designed to evaluate your interpersonal skills, leadership qualities, and ability to work collaboratively within a team. You may be asked about your experience mentoring others in the BI community, your approach to advocating best practices, and how you handle usability and performance issues. The interviewer will likely explore your past experiences working with senior leadership and how you leverage data to drive business success.

3. Client Round

The final round is a telephonic interview with a client, lasting about 30 minutes. This step is unique to NTT Data and aims to assess your ability to communicate effectively with clients and understand their business needs. You may be asked to discuss how you would measure performance in dashboards or how you would approach a specific client scenario. This round is crucial for demonstrating your client-facing skills and your capacity to translate technical insights into actionable business strategies.

As you prepare for these interviews, it's essential to be ready for a variety of questions that will test your technical knowledge and your ability to apply that knowledge in real-world situations. Next, we will delve into the specific interview questions that candidates have encountered during this process.

In this section, we’ll review the various interview questions that might be asked during a Business Intelligence interview at NTT Data Corporation. The interview process will likely focus on your technical skills in SQL, Tableau, and other BI tools, as well as your ability to analyze data and communicate insights effectively. Be prepared to discuss your experience with data management, user access, and performance metrics.

SQL and Data Management

1. Can you explain the difference between a view and a materialized view in SQL?

Understanding the nuances between these two concepts is crucial for effective data management.

How to Answer

Discuss the definitions of both views, emphasizing the performance implications and use cases for each.

Example

"A view is a virtual table that pulls data from one or more tables, while a materialized view stores the data physically, allowing for faster access. Materialized views are particularly useful for complex queries that are frequently accessed, as they can significantly improve performance by reducing the need to re-query the underlying tables."

2. How do you optimize SQL queries for better performance?

This question assesses your ability to write efficient SQL code.

How to Answer

Mention techniques such as indexing, avoiding SELECT *, and using joins effectively.

Example

"I optimize SQL queries by using indexes on frequently queried columns, avoiding SELECT * to limit the data retrieved, and ensuring that joins are performed on indexed columns. Additionally, I analyze query execution plans to identify bottlenecks and make necessary adjustments."

3. Describe a scenario where you had to clean and transform data for analysis.

This question evaluates your data preparation skills.

How to Answer

Provide a specific example that highlights your approach to data cleaning and transformation.

Example

"In a previous project, I worked with a dataset that contained numerous inconsistencies, such as missing values and incorrect formats. I used SQL to identify and rectify these issues, applying functions to standardize date formats and filling in missing values with appropriate defaults. This ensured the data was reliable for analysis."

4. How do you manage user access and permissions in BI systems?

This question focuses on your experience with user management.

How to Answer

Discuss your approach to ensuring proper authentication and authorization.

Example

"I manage user access by implementing role-based access control, ensuring that users only have permissions necessary for their roles. I regularly review access logs and permissions to maintain security and compliance, and I conduct training sessions to educate users on best practices."

Tableau and BI Tools

1. How do you measure performance in dashboards created with Tableau?

This question assesses your ability to evaluate the effectiveness of BI tools.

How to Answer

Discuss key performance indicators (KPIs) and user feedback mechanisms.

Example

"I measure performance in Tableau dashboards by tracking KPIs such as load times, user engagement metrics, and the frequency of dashboard usage. I also gather user feedback to identify areas for improvement and ensure that the dashboards meet business needs effectively."

2. Can you explain the role of a Tableau Cloud site administrator?

This question tests your understanding of Tableau's administrative functions.

How to Answer

Outline the responsibilities and importance of this role in a BI environment.

Example

"As a Tableau Cloud site administrator, I am responsible for maintaining deployment, governance, and security frameworks. This includes managing user access, monitoring data sources, and ensuring that Tableau Desktop users can publish and share their workbooks securely and efficiently."

3. Describe a time when you mentored a team member in using Tableau.

This question evaluates your leadership and mentoring skills.

How to Answer

Provide a specific example that illustrates your mentoring approach.

Example

"I once mentored a junior analyst who was new to Tableau. I organized a series of training sessions where I demonstrated best practices for data visualization and dashboard design. I also encouraged them to ask questions and provided constructive feedback on their work, which helped them gain confidence and improve their skills."

4. What strategies do you use to troubleshoot performance issues in Tableau dashboards?

This question assesses your problem-solving skills.

How to Answer

Discuss your systematic approach to identifying and resolving issues.

Example

"When troubleshooting performance issues in Tableau dashboards, I first analyze the data sources and queries to identify any inefficiencies. I also check for excessive calculations or filters that may slow down performance. If necessary, I simplify the dashboard design and optimize the data model to enhance loading times."

Business Analysis and Strategy

1. How do you develop key metrics to guide business strategy?

This question focuses on your analytical skills and strategic thinking.

How to Answer

Discuss your process for identifying and defining relevant metrics.

Example

"I develop key metrics by first understanding the business objectives and the specific questions stakeholders want to answer. I then analyze historical data to identify trends and patterns, ensuring that the metrics I define are actionable and aligned with the overall strategy. Regularly reviewing these metrics with stakeholders helps refine our approach."

2. Can you provide an example of how your analysis led to a data-informed decision?

This question evaluates your impact on business outcomes.

How to Answer

Share a specific instance where your analysis influenced a decision.

Example

"In a previous role, I analyzed customer feedback data and identified a significant drop in satisfaction related to a specific product feature. I presented my findings to the leadership team, which led to a strategic decision to enhance that feature. As a result, we saw a 20% increase in customer satisfaction scores within three months."

3. How do you ensure that your analyses are aligned with the needs of senior leadership?

This question assesses your communication and collaboration skills.

How to Answer

Discuss your approach to stakeholder engagement and feedback.

Example

"I ensure alignment with senior leadership by regularly communicating with them to understand their priorities and objectives. I present my analyses in a clear and concise manner, focusing on actionable insights that directly address their concerns. I also seek feedback to refine my analyses and ensure they meet their expectations."

4. What tools do you use for data visualization and reporting, and why?

This question evaluates your familiarity with BI tools.

How to Answer

Discuss your preferred tools and their advantages.

Example

"I primarily use Tableau for data visualization due to its user-friendly interface and powerful capabilities for creating interactive dashboards. Additionally, I leverage SQL for data extraction and Alteryx for data preparation, as these tools complement each other well in the BI workflow."