Quest Global Data Analyst Interview Questions + Guide in 2025

Quest Global is a leading engineering services firm with a commitment to innovation and a strong focus on delivering solutions for Fortune 500 clients across various industries.

As a Data Analyst at Quest Global, you will play a crucial role in ensuring data integrity and accuracy to support decision-making processes. Your primary responsibilities will include extracting and analyzing data from ERP systems and other shop floor software, as well as cleaning and updating existing datasets. You will be expected to utilize tools such as spreadsheets and SAP to provide insightful data analysis and metrics. A key part of your role will involve monitoring reporting tools to maintain accuracy and identify areas for continuous improvement, aligning with Quest Global's values of innovation and learning from failures.

To excel in this position, you should possess a strong foundation in data analytics, with at least three years of relevant experience. A Bachelor's degree in a Data Science or STEM discipline is preferred. You must demonstrate effective communication skills, as you will be translating complex analyses into actionable insights for non-technical audiences. A deep understanding of data management practices, along with experience in a manufacturing environment, particularly with SAP, will set you apart as an ideal candidate. Additionally, you should be a U.S. Citizen or Permanent Resident due to the nature of the work.

This guide will help you prepare for your interview by providing insights into the skills and qualities Quest Global values in a Data Analyst, along with the types of technical questions you may encounter.

The interview process for a Data Analyst position at Quest Global is structured to assess both technical skills and cultural fit within the organization. It typically consists of three distinct rounds, each designed to evaluate different competencies relevant to the role.

1. Initial Phone Screen

The first step in the interview process is a phone screen with a recruiter. This conversation is generally cordial and serves as an opportunity for the recruiter to discuss the job's responsibilities and the nature of the work at Quest Global. During this call, candidates can expect to talk about their technical skills and experiences, as well as their understanding of data analysis in a manufacturing environment. The recruiter may also gauge the candidate's alignment with the company's values and culture.

2. Technical Interview

Following the initial screen, candidates will participate in a technical interview, which is typically conducted in person. This round focuses on assessing the candidate's technical proficiency, particularly in areas such as data extraction, manipulation, and analysis. Candidates may be asked to solve problems on paper, including writing code or SQL statements, and answering scenario-based questions related to data analysis tools like Spark and Scala. The interviewers will evaluate the candidate's grasp of fundamental and advanced concepts in data analytics, as well as their ability to apply these concepts to real-world situations.

3. HR and Managerial Round

The final round of the interview process is an HR and managerial interview. This round is designed to assess the candidate's soft skills, including communication abilities and teamwork. Interviewers will explore the candidate's past experiences and how they align with the company's mission of continuous improvement and innovation. Candidates should be prepared to discuss their approach to problem-solving, their ability to work in a regulated environment, and how they can contribute to the company's goals.

As you prepare for your interview, it's essential to familiarize yourself with the types of questions that may be asked during each of these rounds.

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

Understand the Interview Structure

The interview process at Quest Global typically consists of three rounds: a technical multiple-choice questionnaire, a face-to-face technical round, and an HR or managerial round. Familiarize yourself with this structure so you can prepare accordingly. Knowing what to expect will help you manage your time and energy effectively throughout the process.

Master Technical Skills

Given the emphasis on technical proficiency, particularly in Spark and Scala, ensure you are well-versed in these areas. Practice coding on paper, as this is a common requirement during the technical rounds. Brush up on your basic and advanced concepts in Spark, and be prepared to tackle scenario-based questions that test your problem-solving abilities. Additionally, be ready to demonstrate your SQL skills, including writing statements for data manipulation tasks.

Emphasize Data Accuracy and Continuous Improvement

Quest Global values data accuracy and continuous improvement. Be prepared to discuss your experience with data extraction, cleanup, and analysis. Highlight any specific projects where you implemented improvements or solved data-related issues. This will demonstrate your alignment with the company’s focus on delivering error-free data and your proactive approach to problem-solving.

Communicate Effectively

Strong communication skills are essential for translating complex data analysis into actionable insights. Practice explaining your past projects and technical concepts in a way that a non-technical audience can understand. This will not only showcase your analytical skills but also your ability to collaborate effectively within a diverse team.

Align with Company Culture

Quest Global seeks candidates who embody humility, innovation, and a collaborative spirit. During your interview, reflect these values in your responses. Share examples of how you’ve worked as part of a team, learned from failures, and contributed to a positive work environment. This will help you resonate with the company’s ethos and demonstrate that you are a cultural fit.

Prepare Questions for the Interviewers

Engage your interviewers by preparing thoughtful questions about the role, team dynamics, and opportunities for growth within the company. This shows your genuine interest in the position and helps you assess if Quest Global is the right fit for you. Consider asking about the tools and technologies the team uses, or how they approach continuous improvement initiatives.

Stay Calm and Confident

Finally, remember to stay calm and confident throughout the interview process. Practice mindfulness techniques or mock interviews to help manage any anxiety. A composed demeanor will not only help you think clearly but also leave a positive impression on your interviewers.

By following these tailored tips, you will be well-prepared to showcase your skills and fit for the Data Analyst role at Quest Global. Good luck!

In this section, we’ll review the various interview questions that might be asked during a Data Analyst interview at Quest Global. The interview process will likely assess your technical skills, problem-solving abilities, and understanding of data management practices. Be prepared to demonstrate your knowledge of data extraction, analysis, and reporting tools, as well as your ability to communicate complex information clearly.

Technical Skills

1. Can you explain the process of data extraction from an ERP system?

Understanding the data extraction process is crucial for a Data Analyst role, especially in a manufacturing environment.

How to Answer

Discuss the steps involved in extracting data, including identifying the data sources, using appropriate tools, and ensuring data integrity during the extraction process.

Example

"To extract data from an ERP system, I first identify the specific data needed for analysis. I then use SQL queries or built-in reporting tools to pull the data, ensuring that I validate the data for accuracy and completeness before proceeding with any analysis."

2. How would you write a SQL statement to delete a row from a table?

This question tests your SQL knowledge, which is essential for data manipulation.

How to Answer

Explain the SQL DELETE statement and provide a brief example of its syntax, emphasizing the importance of using a WHERE clause to avoid unintentional data loss.

Example

"I would use the DELETE statement in SQL, specifying the table name and the condition for the row to be deleted. For example, 'DELETE FROM employees WHERE employee_id = 123;' ensures that only the intended row is removed."

3. Describe a scenario where you had to clean up a dataset. What steps did you take?

Data cleanup is a critical part of ensuring data accuracy and reliability.

How to Answer

Outline the steps you took to identify and rectify issues in the dataset, such as removing duplicates, correcting errors, and standardizing formats.

Example

"In a previous project, I encountered a dataset with numerous duplicates and inconsistent formatting. I used Excel functions to identify duplicates and applied data validation rules to standardize the entries, ensuring that the final dataset was clean and ready for analysis."

4. What are some common data visualization tools you have used, and how do you choose which one to use?

This question assesses your familiarity with data visualization tools and your ability to communicate insights effectively.

How to Answer

Mention specific tools you have experience with and explain how you select the appropriate tool based on the audience and the type of data being presented.

Example

"I have used Tableau and Power BI for data visualization. I choose the tool based on the complexity of the data and the audience's familiarity with the platform. For instance, I prefer Tableau for interactive dashboards, while Power BI is great for quick reports."

5. Can you explain the concept of data flow management?

Understanding data flow management is essential for ensuring efficient data processing.

How to Answer

Discuss the importance of managing data flow, including how data moves through systems and the role of data governance.

Example

"Data flow management involves overseeing how data is collected, processed, and stored. It ensures that data is accessible and reliable for analysis. I focus on establishing clear protocols for data entry and monitoring data quality throughout the process."

Problem-Solving and Analytical Skills

1. Describe a time when you identified a significant error in a dataset. How did you handle it?

This question evaluates your attention to detail and problem-solving skills.

How to Answer

Share a specific example of an error you found, how you identified it, and the steps you took to correct it.

Example

"I once discovered a significant error in sales data that affected our quarterly reports. I traced the issue back to a data entry mistake and collaborated with the team to correct the entries. I also implemented a double-check system to prevent similar errors in the future."

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

This question assesses your time management and organizational skills.

How to Answer

Explain your approach to prioritizing tasks based on deadlines, project importance, and resource availability.

Example

"I prioritize tasks by assessing deadlines and the impact of each project. I use project management tools to keep track of progress and ensure that I allocate time effectively to meet all project requirements without compromising quality."

3. Can you give an example of how you used data to drive a business decision?

This question tests your ability to translate data analysis into actionable insights.

How to Answer

Provide a specific example where your analysis influenced a decision, detailing the data used and the outcome.

Example

"In a previous role, I analyzed customer feedback data and identified a trend indicating dissatisfaction with a specific product feature. I presented my findings to management, which led to a redesign of the feature, resulting in a 20% increase in customer satisfaction ratings."

4. What continuous improvement tools are you familiar with, and how have you applied them?

This question assesses your knowledge of continuous improvement methodologies.

How to Answer

Mention specific tools or methodologies you have used, such as Six Sigma or Lean, and provide an example of how you applied them in a project.

Example

"I am familiar with Lean methodologies and have applied them to streamline data processing workflows. By mapping out the current process, I identified bottlenecks and implemented changes that reduced processing time by 30%."

5. How do you ensure compliance with data regulations in your work?

This question evaluates your understanding of data governance and compliance.

How to Answer

Discuss your approach to adhering to data regulations, including any specific frameworks or guidelines you follow.

Example

"I ensure compliance with data regulations by staying informed about relevant laws and company policies. I regularly review our data handling practices and conduct audits to ensure that we are following all necessary protocols to protect sensitive information."