Knewin is a prominent technology company specializing in media monitoring and business intelligence solutions. It provides comprehensive insights and analytics to help organizations make informed decisions. Joining Knewin as a Business Intelligence professional means diving into a dynamic role that demands proficiency in data analysis, business strategy, and technical prowess.

At Knewin, the Business Intelligence position involves extracting actionable insights from vast datasets, assisting in strategic planning, and enhancing overall business performance. Your responsibilities will range from developing dashboards to identifying trends and driving data-driven decisions.

In this guide, we’ll cover the interview process at Knewin, key interview questions, and offer valuable tips to help you succeed. Let's dive in!

Submitting Your Application

The initial step to secure the Business Intelligence position at Knewin is to submit a compelling application that reflects your technical skills and genuine interest in joining the company. Whether you were approached by a Knewin recruiter or have taken the initiative yourself, carefully review the job description and tailor your resume to align with the prerequisites.

Ensure to identify specific keywords that the hiring manager might use to filter resumes, and craft a targeted cover letter. Highlighting relevant skills and previous work experiences pertinent to the role will significantly enhance your chances.

Recruiter/Hiring Manager Call Screening

If your CV is shortlisted, a recruiter from the Knewin Talent Acquisition Team will contact you to verify key details such as your experiences and skill level. Some behavioral questions may also be part of this initial screening process.

In some instances, the Knewin hiring manager may participate during the screening call to address your queries about the role and the company. They might also engage in surface-level technical and behavioral discussions.

This call typically lasts around 30 minutes.

Technical Virtual Interview

Upon successfully navigating the recruiter round, you will be invited for the technical screening. This technical interview is usually conducted virtually via video conference and screen sharing. Questions in this 1-hour long stage may revolve around Knewin’s data systems, ETL pipelines, and SQL queries.

For Business Intelligence roles, take-home assignments concerning product metrics, analytics, and data visualization may be included. Additionally, your proficiency with hypothesis testing, probability distributions, and basic machine learning principles could be assessed.

Depending on the role's seniority, case studies and other real-world scenario problems may also be assigned.

Onsite Interview Rounds

Following another recruiter call that outlines the next stages, you’ll be invited for the onsite interview loop. The number of interview rounds varies based on the role but generally, your technical expertise, including programming and ML modeling capabilities, will be rigorously evaluated.

If you were given take-home exercises, you might also need to present your solutions during the onsite interview for the Business Intelligence role at Knewin.

Quick Tips For Knewin Business Intelligence Interviews

• Familiarize Yourself with Knewin’s Systems: Make sure you understand Knewin’s data systems and processes. Questions can be fairly detailed, focusing on data management and analytics.

• Be Prepared for Case Studies: Real-world case studies are likely. Practice problem-solving with practical business contexts and data-driven insights.

• Show Expertise in Visualization Tools: Proficiency in data visualization tools like Tableau or Power BI can set you apart. Make sure you can demonstrate your skills in these areas.

Typically, interviews at Knewin vary by role and team, but commonly Business Intelligence interviews follow a fairly standardized process across these question topics.

• How would you measure the effectiveness of extra pay for delivery drivers during peak hours? If you work at a food delivery company, how would you measure the effectiveness of giving extra pay to delivery drivers during peak hours to meet consumer demand?

• Create a function rain_days to calculate the probability of rain on the nth day after today. The probability that it will rain tomorrow depends on whether it rained today and yesterday. If it rained both days, there's a 20% chance of rain tomorrow. If it rained one of the days, there's a 60% chance. If it rained neither day, there's a 20% chance. Given it rained today and yesterday, calculate the probability it will rain on the nth day after today.

• What are the assumptions of linear regression? List and explain the key assumptions that must be met for linear regression analysis to be valid.

Preparing for a Business Intelligence position at Knewin? Our comprehensive Knewin Interview Guide provides insights into the roles and interview process, helping you tackle questions with confidence. Moreover, we offer interview guides for various roles, such as software engineer and data analyst, offering a deep dive into Knewin’s unique interview stages and expectations.

At Interview Query, our mission is to empower you with a full suite of tools, ensuring you're well-prepared, confident, and ready to excel in every interview challenge Knewin has to offer.

Explore all our company interview guides for detailed preparation, and if you have any inquiries, feel free to reach out.

Best of luck with your interview!