Indigo Business Intelligence Interview Questions + Guide in 2025

Indigo is a leading company known for its innovative solutions and commitment to transforming the customer experience through data-driven insights.

In the Business Intelligence role, you will be responsible for analyzing complex data sets to drive strategic decision-making and improve operational efficiency. Key responsibilities include designing and maintaining dashboards, generating actionable insights from data, and collaborating with cross-functional teams to enhance business performance. A strong understanding of data visualization tools and proficiency in SQL or other programming languages is essential. Ideal candidates will have a knack for storytelling through data, a solid analytical mindset, and the ability to communicate findings effectively to both technical and non-technical audiences. Given Indigo’s focus on customer-centric solutions, a passion for understanding customer behavior and translating data into meaningful strategies will make you a great fit.

This guide will equip you with insights into the role, the company culture, and the types of questions you may encounter, enhancing your preparation for a successful interview experience.

The interview process for a Business Intelligence role at Indigo is structured to assess both technical skills and cultural fit within the organization. It typically unfolds in several stages, each designed to evaluate different aspects of a candidate's qualifications and alignment with the company's values.

1. Initial Phone Screen

The process begins with a 30-minute phone screen conducted by a recruiter or talent acquisition representative. This initial conversation focuses on your background, experience, and motivations for applying to Indigo. Expect to discuss your previous roles, relevant projects, and how your skills align with the needs of the company. This is also an opportunity for you to ask questions about the role and the company culture.

2. Technical Screen

Following the initial screen, candidates who progress will participate in a technical interview, often conducted via video conferencing. This session typically involves a hiring manager or a member of the engineering team. You may be asked to solve coding problems or complete a technical challenge relevant to business intelligence, such as SQL queries or data analysis tasks. The focus here is on your problem-solving abilities and technical proficiency.

3. Virtual Onsite Interview

Candidates who perform well in the technical screen will be invited to a virtual onsite interview. This stage usually consists of multiple one-on-one interviews with various team members, including the hiring manager, product managers, and other engineers. Each session may include technical assessments, system design discussions, and behavioral questions. The goal is to evaluate your collaborative skills, technical knowledge, and how well you would fit within the team dynamics.

4. Final Interview Round

In some cases, there may be a final round of interviews that could involve additional team members or stakeholders. This round often focuses on deeper discussions about your past experiences, how you handle challenges, and your approach to business intelligence projects. You may also be asked to present a case study or discuss a project you have worked on, highlighting your contributions and the impact on business outcomes.

Throughout the interview process, candidates should be prepared for a mix of technical and behavioral questions, as well as opportunities to engage with interviewers about their experiences and the company's mission.

As you prepare for your interview, consider the types of questions that may arise in each stage of the process.

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

Understand the Company Culture

Indigo's culture appears to be dynamic yet can be disorganized at times. Familiarize yourself with their mission and values, and be prepared to discuss how your personal values align with theirs. Highlight your adaptability and willingness to thrive in a fast-paced environment, as this seems to resonate well with the team.

Prepare for Conversational Interviews

Many candidates reported that interviews at Indigo are conversational rather than strictly formal. Be ready to share your background and experiences in a narrative format. Practice articulating your career journey, focusing on how your past projects have contributed to business outcomes, such as annual recurring revenue (ARR). This will not only showcase your skills but also demonstrate your understanding of business impact.

Be Ready for System Design Questions

Expect to encounter system design questions that require you to think critically about how to approach a problem. Prepare to discuss high-level designs of products or systems relevant to the role. Familiarize yourself with common design patterns and be ready to explain your thought process clearly and logically.

Showcase Technical Proficiency

Technical skills are crucial for a Business Intelligence role. Brush up on SQL, Excel, and any relevant BI tools. Be prepared for live coding exercises or technical assessments that may include SQL queries or data manipulation tasks. Practice common LeetCode-style problems to ensure you can demonstrate your technical abilities under pressure.

Communicate Clearly and Confidently

Throughout the interview process, clear communication is key. Be concise in your responses and ensure you articulate your thoughts well. If you encounter any ambiguity in questions, don’t hesitate to ask for clarification. This shows your willingness to engage and ensures you provide the most relevant answers.

Manage Expectations and Follow Up

Given the reports of a lengthy and sometimes disorganized interview process, it’s important to manage your expectations. After your interviews, follow up with a thank-you email to express your appreciation for the opportunity and reiterate your interest in the role. This not only keeps you on their radar but also demonstrates your professionalism.

Prepare for a Long Process

Candidates have noted that the interview process can be lengthy and may involve multiple rounds. Be patient and persistent, and don’t hesitate to reach out for updates if you haven’t heard back in a reasonable timeframe. This shows your continued interest in the position and helps you stay informed about your application status.

By following these tailored tips, you can position yourself as a strong candidate for the Business Intelligence role at Indigo. Good luck!

Experience and Background

1. Describe a project you worked on that significantly contributed to the company's revenue. What was your role, and what were the outcomes?

This question aims to assess your ability to drive business results through data analysis and insights.

How to Answer

Focus on a specific project where your contributions were measurable. Highlight your role, the tools you used, and the impact your work had on the company's revenue.

Example

“In my previous role, I led a project analyzing customer purchasing patterns, which revealed opportunities for upselling. By implementing targeted marketing strategies based on this analysis, we increased our average revenue per user by 15% over six months.”

2. Why did you choose to apply to Indigo?

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

How to Answer

Discuss what specifically attracted you to Indigo, such as its culture, values, or innovative projects. Show that you’ve done your research.

Example

“I was drawn to Indigo because of its commitment to leveraging data for impactful decision-making. I admire how the company prioritizes innovation and collaboration, which aligns perfectly with my professional values and aspirations.”

3. What tools and technologies are you proficient in for data analysis?

This question assesses your technical skills and familiarity with industry-standard tools.

How to Answer

List the tools you are experienced with, emphasizing those that are relevant to the role. Provide examples of how you’ve used them in past projects.

Example

“I am proficient in SQL for database management, Tableau for data visualization, and Python for data analysis. In my last role, I used SQL to extract data for a sales report, which I then visualized in Tableau to present to stakeholders.”

4. How would you design a system to track key performance indicators (KPIs) for a new product?

This question tests your system design and analytical thinking skills.

How to Answer

Outline the steps you would take to identify relevant KPIs, the data sources you would use, and how you would visualize the data for stakeholders.

Example

“I would start by collaborating with product managers to identify the most critical KPIs for the new product. Then, I would set up a data pipeline to collect data from various sources, ensuring data integrity. Finally, I would create a dashboard in Tableau to visualize these KPIs for easy access by the team.”

Technical Skills

5. Can you explain a time when you had to analyze a large dataset? What challenges did you face?

This question evaluates your analytical skills and problem-solving abilities.

How to Answer

Describe a specific instance where you worked with a large dataset, the tools you used, and how you overcame any challenges.

Example

“I once analyzed a dataset of over a million customer transactions to identify trends. The main challenge was the data's inconsistency, which I addressed by cleaning and normalizing the data using Python. This allowed me to derive actionable insights that improved our marketing strategy.”

6. What is your experience with SQL? Can you provide an example of a complex query you wrote?

This question assesses your SQL proficiency and ability to handle complex data retrieval tasks.

How to Answer

Discuss your experience with SQL, including the types of queries you’ve written and the context in which you used them.

Example

“I have extensive experience with SQL, including writing complex queries involving multiple joins and subqueries. For instance, I created a query that combined sales data with customer demographics to identify high-value customer segments, which informed our targeted marketing efforts.”

7. Describe a time when you had to present data findings to a non-technical audience. How did you ensure they understood?

This question evaluates your communication skills and ability to convey complex information clearly.

How to Answer

Explain how you tailored your presentation to the audience's level of understanding, using visuals and simple language.

Example

“I presented our quarterly sales analysis to the marketing team, who had limited technical knowledge. I used clear visuals in my presentation and avoided jargon, focusing on key insights and actionable recommendations, which helped them grasp the data's implications easily.”

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

This question assesses your time management and organizational skills.

How to Answer

Discuss your approach to prioritization, including any tools or methods you use to manage your workload effectively.

Example

“I prioritize tasks based on their impact and deadlines. I use project management tools like Trello to keep track of my tasks and regularly reassess priorities during team meetings to ensure alignment with overall goals.”

Behavioral Questions

9. Describe a time when you faced a significant challenge at work. How did you handle it?

This question evaluates your problem-solving skills and resilience.

How to Answer

Choose a specific challenge, explain the context, your actions, and the outcome.

Example

“When our team faced a tight deadline for a major project, I organized daily check-ins to monitor progress and address any roadblocks. This proactive approach helped us complete the project on time and improved team collaboration.”

10. How do you handle feedback and criticism?

This question assesses your ability to accept and learn from feedback.

How to Answer

Discuss your perspective on feedback and provide an example of how you’ve used it to improve your work.

Example

“I view feedback as an opportunity for growth. For instance, after receiving constructive criticism on a presentation, I sought additional training in data visualization, which significantly improved my future presentations and boosted my confidence.”