Data Analysis Interview Questions

Review this list of 104 data analysis interview questions and answers verified by hiring managers and candidates.
  • Product Analyst
    Data Analysis
    +3 more
  • Product Analyst
    Data Analysis
    +3 more
  • "First, I want to understand why Airbnb is considering expanding into the restaurant space. Is the goal more user engagement, or unlock new monetization paths, or make the travel journey more memorable by connecting people with food? Next, I want to define what success would look like for this expansion. That could mean high guest engagement or a boost in revenue. Third, I will look at things like the volume of Airbnb travelers to the region, how big the dining market is, who the local competitor"

    Ravindra R. - "First, I want to understand why Airbnb is considering expanding into the restaurant space. Is the goal more user engagement, or unlock new monetization paths, or make the travel journey more memorable by connecting people with food? Next, I want to define what success would look like for this expansion. That could mean high guest engagement or a boost in revenue. Third, I will look at things like the volume of Airbnb travelers to the region, how big the dining market is, who the local competitor"See full answer

    Business Analyst
    Data Analysis
    +2 more
  • +2

    "Define: How is daily post view calculated Isolate Issues: Data issue Time period Geo IOS vs Android vs Web Correlated Metrics in the funnel DAU Time spent/ scrolls Engagement - likes, comments External factors Competitor actions Big events Internal factors Product launch Feature change"

    Steve Y. - "Define: How is daily post view calculated Isolate Issues: Data issue Time period Geo IOS vs Android vs Web Correlated Metrics in the funnel DAU Time spent/ scrolls Engagement - likes, comments External factors Competitor actions Big events Internal factors Product launch Feature change"See full answer

    Data Scientist
    Data Analysis
  • "Clarify the Goal (What Does Success Look Like?) Asked: Why is DoorDash launching bikes for Dashers? Is it to: Expand Dasher availability in dense urban areas? Lower delivery times or costs? Increase access to work for those without cars? Each possible goal shapes the metrics differently. Broke Metrics into Categories: Operational Metrics Measure how well bikes are functioning as a delivery method. Average delivery time (bike vs car/walk) Order completion rate for bike Dashers On-t"

    Logan S. - "Clarify the Goal (What Does Success Look Like?) Asked: Why is DoorDash launching bikes for Dashers? Is it to: Expand Dasher availability in dense urban areas? Lower delivery times or costs? Increase access to work for those without cars? Each possible goal shapes the metrics differently. Broke Metrics into Categories: Operational Metrics Measure how well bikes are functioning as a delivery method. Average delivery time (bike vs car/walk) Order completion rate for bike Dashers On-t"See full answer

    Data Analyst
    Data Analysis
    +2 more
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  • Google logoAsked at Google 
    +14

    "Questions: Should we consider US or Global? Is there any existing market insights/research around driverless cars adoption? Can we assume that driverless car technology is production / public ready by 2025? Is this focus on commercial or consumer use? Assumption: Let's look at US to start for our estimation since Driverless car regulation and adoption trend will probably differ per country Let's also assume we want to estimate market size for driverless cars in 2025 for consume"

    Mark - "Questions: Should we consider US or Global? Is there any existing market insights/research around driverless cars adoption? Can we assume that driverless car technology is production / public ready by 2025? Is this focus on commercial or consumer use? Assumption: Let's look at US to start for our estimation since Driverless car regulation and adoption trend will probably differ per country Let's also assume we want to estimate market size for driverless cars in 2025 for consume"See full answer

    Data Analysis
    Estimation
  • "A 25% drop-off rate at sign-up for a new app, especially one from Meta, indicates a significant challenge in onboarding and user retention. To analyze this, consider external, internal, and product-specific factors. Identify Potential Causes: External Factors:Competition: Are other platforms offering a more attractive or simpler signup process? Timing: Is there a recent major event or trend that might be influencing user behavior? User Experience: Is the signup process clunk"

    Ankit kumar S. - "A 25% drop-off rate at sign-up for a new app, especially one from Meta, indicates a significant challenge in onboarding and user retention. To analyze this, consider external, internal, and product-specific factors. Identify Potential Causes: External Factors:Competition: Are other platforms offering a more attractive or simpler signup process? Timing: Is there a recent major event or trend that might be influencing user behavior? User Experience: Is the signup process clunk"See full answer

    Business Analyst
    Data Analysis
    +2 more
  • Google logoAsked at Google 

    "Let's take Google Fitbit as the product and analyze how to identify its competitors. 1. Identify Direct Competitors (Similar Wearables & Smartwatches) Fitbit is a fitness tracker and smartwatch brand, so direct competitors include: Apple Watch Series (Apple) Samsung Galaxy Watch (Samsung) Garmin Wearables (Garmin) Amazfit & Zepp (Huami) Xiaomi Mi Band (Xiaomi) These brands offer smartwatches or fitness bands with similar health-tracking features. 2. Use Launch Events for Insi"

    Rajdeep J. - "Let's take Google Fitbit as the product and analyze how to identify its competitors. 1. Identify Direct Competitors (Similar Wearables & Smartwatches) Fitbit is a fitness tracker and smartwatch brand, so direct competitors include: Apple Watch Series (Apple) Samsung Galaxy Watch (Samsung) Garmin Wearables (Garmin) Amazfit & Zepp (Huami) Xiaomi Mi Band (Xiaomi) These brands offer smartwatches or fitness bands with similar health-tracking features. 2. Use Launch Events for Insi"See full answer

    Data Analyst
    Data Analysis
    +2 more
  • Revolut logoAsked at Revolut 

    "My stab at this (feedback welcome): Total distance for last car 500 meters: Assuming mostly standard cars, average car length + gap = 5 meters. Acceleration time total 505 seconds: first car reacts slowest, accelerate in 10 seconds. Every other car needs 5 seconds (can see ahead). Takes 90 seconds to cover 500m: to cover 500m that means 90 seconds (20kph = 10km in 30min = 1km in 3min = 500m in 1.5m) A bit under 10 minutes = 90s + 505s. Probably a bit less as last car"

    Gabe M. - "My stab at this (feedback welcome): Total distance for last car 500 meters: Assuming mostly standard cars, average car length + gap = 5 meters. Acceleration time total 505 seconds: first car reacts slowest, accelerate in 10 seconds. Every other car needs 5 seconds (can see ahead). Takes 90 seconds to cover 500m: to cover 500m that means 90 seconds (20kph = 10km in 30min = 1km in 3min = 500m in 1.5m) A bit under 10 minutes = 90s + 505s. Probably a bit less as last car"See full answer

    BizOps & Strategy
    Data Analysis
    +1 more
  • " logo Contact Interview Preparation Application Process Career Advancement Onboarding and Orientation Common Interview Questions Dashboard Creation Interview Questions and Answers Dashboard Creation Interview Questions and Answers What is a dashboard? Answer: A dashboard is a visual representation of key performance indicators (KPIs) and other important data, designed to provide a high-level overview of a specific area or business process. It typically uses charts, graphs, and other da"

    Ankit kumar S. - " logo Contact Interview Preparation Application Process Career Advancement Onboarding and Orientation Common Interview Questions Dashboard Creation Interview Questions and Answers Dashboard Creation Interview Questions and Answers What is a dashboard? Answer: A dashboard is a visual representation of key performance indicators (KPIs) and other important data, designed to provide a high-level overview of a specific area or business process. It typically uses charts, graphs, and other da"See full answer

    Business Analyst
    Data Analysis
    +2 more
  • PayPal logoAsked at PayPal 
    Video answer for 'There's a YoY slowdown in transactions. How would you structure your analysis?'

    "To analyze a year-over-year (YoY) slowdown in transactions, you should start by understanding the context, segmenting data, identifying potential drivers, and then formulating actionable recommendations. This involves a structured approach that includes a thorough examination of the data, both internally and externally. Understand the Context: Define "transactions": What specific transactions are being analyzed (e.g., website purchases, in-store purchases, total transactions)? Timeframe: Sp"

    Ankit kumar S. - "To analyze a year-over-year (YoY) slowdown in transactions, you should start by understanding the context, segmenting data, identifying potential drivers, and then formulating actionable recommendations. This involves a structured approach that includes a thorough examination of the data, both internally and externally. Understand the Context: Define "transactions": What specific transactions are being analyzed (e.g., website purchases, in-store purchases, total transactions)? Timeframe: Sp"See full answer

    Business Analyst
    Data Analysis
    +2 more
  • "Product Understanding - Ads are what you see from companies as stories, posts, reels. Post are from users (connections). We have to design an experience which produces maximum engagement while generating ad revenue. Clarifying Questions - Is it specific to posts/stories/reels ? Is there an existing post to ads ratio or do we have to start from scratch? Is it specific to a device/OS? Is it specific to a region/user demographic? Assumption - Existing posts to ads ratio"

    Vishal S. - "Product Understanding - Ads are what you see from companies as stories, posts, reels. Post are from users (connections). We have to design an experience which produces maximum engagement while generating ad revenue. Clarifying Questions - Is it specific to posts/stories/reels ? Is there an existing post to ads ratio or do we have to start from scratch? Is it specific to a device/OS? Is it specific to a region/user demographic? Assumption - Existing posts to ads ratio"See full answer

    Data Scientist
    Data Analysis
  • Business Analyst
    Data Analysis
    +3 more
  • Meta (Facebook) logoAsked at Meta (Facebook) 

    "Clarifying Questions and possible responses: both audio and video goals: increase engagement time among groups/communitites and not require another platform to do group call (be one-stop for communication) region-TBD ios/android only available to users in a group to call users within the group who can intitiate these calls?- only admin? or anyone? metrics:NSM: feature engagement (C), number of calls made in a week per user (C). PM: % of people joining the call in a group"

    theproductguy - "Clarifying Questions and possible responses: both audio and video goals: increase engagement time among groups/communitites and not require another platform to do group call (be one-stop for communication) region-TBD ios/android only available to users in a group to call users within the group who can intitiate these calls?- only admin? or anyone? metrics:NSM: feature engagement (C), number of calls made in a week per user (C). PM: % of people joining the call in a group"See full answer

    Data Scientist
    Data Analysis
    +2 more
  • Business Analyst
    Data Analysis
    +3 more
  • "To model ROI for a product launch, the first step is to define the timeline you're targeting Example 6 months post-launch, 1 year, or even 5 years. Tip: Start with a 1-year ROI projection to estimate near-term returns, and build a 3-year projection to evaluate growth and scalability. ROI is essentially the net return over that period: Profit=Revenue (within timeline)−Total Cost (from project start) Total Cost includes both fixed and variable costs incurred since t"

    Himanshu G. - "To model ROI for a product launch, the first step is to define the timeline you're targeting Example 6 months post-launch, 1 year, or even 5 years. Tip: Start with a 1-year ROI projection to estimate near-term returns, and build a 3-year projection to evaluate growth and scalability. ROI is essentially the net return over that period: Profit=Revenue (within timeline)−Total Cost (from project start) Total Cost includes both fixed and variable costs incurred since t"See full answer

    Product Analyst
    Data Analysis
    +3 more
  • Airbus logoAsked at Airbus 

    "Implementing the anomaly Machine learning using some algorithm like Isolation Forest algorithm DBscan algorithm and local data point find algorithm."

    Suhas P. - "Implementing the anomaly Machine learning using some algorithm like Isolation Forest algorithm DBscan algorithm and local data point find algorithm."See full answer

    Data Analyst
    Data Analysis
  • "I’d assess a new feature launch by first checking if it achieved the goal we set before launch, whether that’s driving engagement, monetization, or retention. I would look at adoption and usage to see if users are discovering and repeatedly using it, the impact on the main KPI we targeted, and guardrail metrics to ensure there’s no negative effect on core product health like retention, crashes, or satisfaction. Ideally I would measure this through an A/B test or phased rollout and complement the"

    Madina A. - "I’d assess a new feature launch by first checking if it achieved the goal we set before launch, whether that’s driving engagement, monetization, or retention. I would look at adoption and usage to see if users are discovering and repeatedly using it, the impact on the main KPI we targeted, and guardrail metrics to ensure there’s no negative effect on core product health like retention, crashes, or satisfaction. Ideally I would measure this through an A/B test or phased rollout and complement the"See full answer

    Business Analyst
    Data Analysis
    +2 more
  • "Goals : Determine if the TV series should be renewed If it should be renewed, how much should Netflix be willing to pay for this series Let's assume that the goal is to maximize subscriber retention and engagement while paying a reasonable amount for the licensing costs that is justified by the value added by the series. Assumptions : The show is exclusive to Netflix for a particular region (for eg. US) It has been on the platform for an year Netflix has subscriber level data around"

    Saurabh K. - "Goals : Determine if the TV series should be renewed If it should be renewed, how much should Netflix be willing to pay for this series Let's assume that the goal is to maximize subscriber retention and engagement while paying a reasonable amount for the licensing costs that is justified by the value added by the series. Assumptions : The show is exclusive to Netflix for a particular region (for eg. US) It has been on the platform for an year Netflix has subscriber level data around"See full answer

    Data Scientist
    Data Analysis
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