Knewin is at the forefront of specialized AI and big data solutions, trusted by leading global organizations. As a Product Analyst on the Products team, you'll engage in critical business analysis within the Sports, Media, and Marketing segments. This role is ideal for data enthusiasts who excel in quantitative analysis and can seamlessly communicate their findings. You'll be developing KPIs, collaborating with engineering for automated reporting, and providing data-driven insights to business development teams and clients. If you possess interdisciplinary expertise and strong problem-solving skills, Knewin offers a dynamic environment that will accelerate your professional growth.

Interview Query is your go-to resource for navigating the Knewin interview process. This guide will help you prepare with commonly asked questions and valuable tips. Let's get started!

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Knewin as a Product Analyst. Whether you were contacted by a Knewin recruiter or have taken the initiative yourself, carefully review the job description and tailor your CV according to the prerequisites.

Tailoring your CV may include identifying specific keywords that the hiring manager might use to filter resumes and crafting a targeted cover letter. Furthermore, don’t forget to highlight relevant skills and mention your work experiences.

Recruiter/Hiring Manager Call Screening

If your CV happens to be among the shortlisted few, a recruiter from the Knewin Talent Acquisition Team will make contact and verify key details like your experiences and skill level. Behavioral questions may also be a part of the screening process.

In some cases, the Knewin Product Analyst hiring manager stays present during the screening round to answer your queries about the role and the company itself. They may also indulge in surface-level technical and behavioral discussions.

The whole recruiter call should take about 30 minutes.

Technical Virtual Interview

Successfully navigating the recruiter round will present you with an invitation for the technical screening round. Technical screening for the Knewin Product Analyst role usually is conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around Knewin’s data systems, ETL pipelines, and SQL queries.

In the case of Product Analyst roles, take-home assignments regarding product metrics, analytics, and data visualization are incorporated. Apart from these, your proficiency against hypothesis testing, probability distributions, and machine learning fundamentals may also be assessed during the round.

Depending on the seniority of the position, case studies and similar real-scenario problems may also be assigned.

Onsite Interview Rounds

Followed by a second recruiter call outlining the next stage, you’ll be invited to attend the onsite interview loop. Multiple interview rounds, varying with the role, will be conducted during your day at the Knewin office. Your technical prowess, including programming and ML modeling capabilities, will be evaluated against the finalized candidates throughout these interviews.

If you were assigned take-home exercises, a presentation round may also await you during the onsite interview for the Product Analyst role at Knewin.

Quick Tips For Knewin Product Analyst Interviews

• Master the Metrics: Understanding key performance indicators (KPIs) relevant to your projects is critical. Be prepared to discuss how you have developed and tracked these metrics in past roles.
• Technical Proficiency: Sharpen your SQL and Python skills, as these are essential for the Knewin Product Analyst role. Practice extracting and analyzing large data sets.
• Communication Is Key: You’ll need to present your findings effectively to non-technical stakeholders. Make sure you can explain complex technical details in simple terms.

Typically, interviews at Knewin vary by role and team, but commonly Product Analyst 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? 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 it will 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, write a function to 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.

What is the average salary for a Product Analyst at Knewin?

Q: What does Knewin do? Knewin is the leading provider of cloud-based AI solutions designed to understand, search, and generate content. We offer turnkey software powered by proprietary AI models, transforming platform integrity, content moderation, brand protection, and more. Our solutions are trusted by hundreds of the world’s largest and most innovative organizations.

Q: What are the key responsibilities of a Product Analyst at Knewin? As a Product Analyst on the Hive Media team at Knewin, you will develop product quality and performance KPIs, analyze high volume data using SQL, and provide insights to our partners and clients. You will collaborate with various teams to execute on process-driven objectives and ensure data-backed recommendations for business improvements.

Q: What qualifications are needed for the Product Analyst position? You need a bachelor’s or graduate degree in a quantitative field such as Statistics, Computer Science, Engineering, or Mathematics. Additionally, you should have 1-3 years of experience in an analytics-focused role, strong scripting skills with SQL, and experience in a cross-functional field. Excellent problem-solving, communication skills, and the ability to translate analysis into business recommendations are essential.

Q: What is the work culture like at Knewin? At Knewin, we are a group of ambitious individuals passionate about creating transformative AI solutions. We offer a steep learning curve and an opportunity to significantly impact one of the fastest-growing AI start-ups globally. Our team values learning, collaboration, and innovation.

Q: How can I prepare for an interview for the Product Analyst role at Knewin? To prepare for the interview, research Knewin thoroughly and practice common interview questions using Interview Query. Brush up on your SQL and scripting skills, and be ready to discuss your past experiences and how they relate to the position.

If you are aiming to excel as a Product Analyst at Knewin, unlocking insights from complex data and driving impactful decisions, Interview Query has you covered. Dive into our comprehensive Knewin Interview Guide where we unpack frequent interview questions and insights to help you prepare effectively. We have curated specialized guides for various roles such as software engineer and data analyst to give you a holistic understanding of the interview process at Knewin.

At Interview Query, we are dedicated to arming you with the essential tools, confidence, and strategic insights needed to ace every stage of your Knewin Product Analyst interview.

Systematically explore our company interview guides to intensify your preparation. For any questions along your journey, feel free to reach out.

Good luck with your interview!