Jackpocket is a pioneering mobile lottery app in the U.S., offering a secure way for users to order state lottery tickets like Powerball and Mega Millions directly from their smartphones. By modernizing the $300B global lottery market, Jackpocket aims to provide a convenient and responsible gaming experience.
As a Product Analyst at Jackpocket, you will leverage extensive behavioral data to enhance customer experience and product monetization. Collaborating with Product Managers and Engineers, you'll model expectations, evaluate tests, and highlight app improvements, using your expertise in SQL, BI tools, and A/B testing to deliver actionable insights.
In this guide, Interview Query will walk you through the interview process and commonly asked questions for the Product Analyst role at Jackpocket, offering valuable tips along the way. Let's dive in!
The first step is to submit a compelling application that reflects your technical skills and interest in joining Jackpocket as a Senior Product Analyst. Whether you were contacted by a Jackpocket 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.
If your CV happens to be among the shortlisted few, a recruiter from the Jackpocket 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 Jackpocket 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.
Successfully navigating the recruiter round will present you with an invitation for the technical screening round. Technical screening for the Jackpocket Senior 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 SQL queries, data visualization tools, and understanding of A/B testing frameworks.
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 experience with ETL pipelines 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.
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 Jackpocket office. Your technical prowess, including programming capabilities and interaction with BI tools, will be evaluated throughout these interviews.
If you were assigned take-home exercises, a presentation round may also await you during the onsite interview for the Senior Product Analyst role at Jackpocket.
Preparing well can make all the difference. Here are a few tips for acing your Jackpocket interview:
Typically, interviews at Jackpocket vary by role and team, but commonly Product Analyst interviews follow a fairly standardized process across these question topics.
Write a SQL query to select the 2nd highest salary in the engineering department. Write a SQL query to select the 2nd highest salary in the engineering department. If more than one person shares the highest salary, the query should select the next highest salary.
Write a function to merge two sorted lists into one sorted list. Given two sorted lists, write a function to merge them into one sorted list. Bonus: Determine the time complexity.
Write a function missing_number
to find the missing number in an array.
You have an array of integers, nums
of length n
spanning 0
to n
with one missing. Write a function missing_number
that returns the missing number in the array. Complexity of (O(n)) required.
Write a function precision_recall
to calculate precision and recall metrics from a 2-D matrix.
Given a 2-D matrix P of predicted values and actual values, write a function precision_recall to calculate precision and recall metrics. Return the ordered pair (precision, recall).
Write a function to search for a target value in a rotated sorted array. Suppose an array sorted in ascending order is rotated at some pivot unknown to you beforehand. Write a function to search for a target value in the array. If the value is in the array, return its index; otherwise, return -1. Bonus: Your algorithm's runtime complexity should be in the order of (O(\log n)).
Would you suspect anything unusual about the A/B test results with 20 variants? Your manager ran an A/B test with 20 different variants and found one significant result. Would you consider this result suspicious?
How would you set up an A/B test to optimize button color and position for higher click-through rates? A team wants to A/B test changes in a sign-up funnel, such as changing a button from red to blue and/or moving it from the top to the bottom of the page. How would you design this test?
What steps would you take if friend requests on Facebook are down 10%? A product manager at Facebook reports a 10% decrease in friend requests. What actions would you take to investigate and address this issue?
Why might job applications be decreasing while job postings remain constant? You observe that the number of job postings per day has remained stable, but the number of applicants has been steadily decreasing. What could be causing this trend?
What are the drawbacks of the given student test score datasets, and how would you reformat them for better analysis? You have data on student test scores in two different layouts. What are the drawbacks of these formats, and what changes would you make to improve their usefulness for analysis? Additionally, describe common issues in "messy" datasets.
Is this a fair coin? You flip a coin 10 times, and it comes up tails 8 times and heads twice. Determine if the coin is fair based on this outcome.
Write a function to calculate sample variance from a list of integers.
Create a function that takes a list of integers and returns the sample variance, rounded to 2 decimal places. Example input: test_list = [6, 7, 3, 9, 10, 15]
. Example output: get_variance(test_list) -> 13.89
.
Is there anything suspicious about the A/B test results with 20 variants? Your manager ran an A/B test with 20 different variants and found one significant result. Evaluate if there is anything suspicious about these results.
How to find the median in a list with more than 50% of the same integer in O(1) time and space?
Given a sorted list of integers where more than 50% of the list is the same integer, write a function to return the median value in (O(1)) computational time and space. Example input: li = [1,2,2]
. Example output: median(li) -> 2
.
What are the drawbacks of the given student test score data layouts? Analyze the drawbacks of the provided student test score data layouts (dataset 1 and dataset 2). Suggest formatting changes to make the data more useful for analysis and describe common problems seen in "messy" datasets.
How would you evaluate the suitability and performance of a decision tree model for predicting loan repayment? You are tasked with building a decision tree model to predict if a borrower will repay a personal loan. How would you evaluate whether a decision tree is the correct model for this problem? If you proceed with the decision tree, how would you evaluate its performance before and after deployment?
How does random forest generate the forest and why use it over logistic regression? Explain how a random forest generates its forest of decision trees. Additionally, discuss why you might choose random forest over other algorithms like logistic regression.
When would you use a bagging algorithm versus a boosting algorithm? Compare two machine learning algorithms. In which scenarios would you use a bagging algorithm versus a boosting algorithm? Provide examples of the tradeoffs between the two.
How would you justify using a neural network model and explain its predictions to non-technical stakeholders? Your manager asks you to build a neural network model to solve a business problem. How would you justify the complexity of this model and explain its predictions to non-technical stakeholders?
What metrics would you use to track the accuracy and validity of a spam classifier? You are tasked with building a spam classifier for emails and have completed a V1 of the model. What metrics would you use to track the accuracy and validity of the model?
Q: What does Jackpocket do? Jackpocket is the first mobile lottery app in the U.S. that allows players to securely order official state lottery tickets, such as Powerball and Mega Millions, via smartphones. Our mission is to create a more convenient, fun, and responsible way to play the lottery by modernizing the $300B global lottery market.
Q: What are the main responsibilities of a Senior Product Analyst at Jackpocket? As a Senior Product Analyst, you will leverage behavioral data to provide actionable insights for improving customer experience and monetization. Key responsibilities include developing reports/dashboards, collaborating with engineering for event tracking, analyzing customer journeys, and defining and evaluating A/B tests. You will also present your findings and recommendations clearly to various stakeholders.
Q: What skills are required for the Senior Product Analyst position? Candidates should have over 3 years of product analytics experience, with proficiency in SQL, Excel/Google Sheets, and BI/data visualization tools. Experience with product analytics tools like Amplitude or Mixpanel, knowledge of data pipelines and ETL, and understanding A/B testing from setup to evaluation are also important. Strong communication skills and a proven track record of managing analytics projects are essential.
Q: What makes working at Jackpocket appealing? Jackpocket offers a range of perks including medical, dental, and vision insurance covered up to 100%, 401(k) matching, stock options, commuter benefits, discounted gym memberships, catered meals, and flexible working hours. You'll also enjoy autonomy and upward mobility in a dynamic start-up environment.
Q: How should I prepare for an interview at Jackpocket? To prepare for an interview at Jackpocket, research the company thoroughly and understand its products. Practice common interview questions using resources from Interview Query, review your technical skills especially in SQL and BI tools, and be ready to discuss your past experiences and how they relate to the role. Demonstrating your analytical abilities and problem-solving skills will be key.
Joining Jackpocket as a Senior Product Analyst offers the unique opportunity to revolutionize the lottery experience through cutting-edge data analysis and product innovation. With perks like full medical coverage, stock options, and a fully stocked kitchen, Jackpocket ensures a supportive work environment that promotes both professional and personal growth. If you're ready to leverage your analytics expertise to drive meaningful improvements in user experience and product monetization, Jackpocket is the place for you.
If you want more insights about the company, check out our main Jackpocket Interview Guide, where we have covered many interview questions that could be asked. We’ve also created interview guides for other roles, such as software engineer and data analyst, where you can learn more about Jackpocket’s interview process for different positions.
At Interview Query, we empower you to unlock your interview prowess with a comprehensive toolkit, equipping you with the knowledge, confidence, and strategic guidance to conquer every Jackpocket product analyst interview question and challenge.
You can check out all our company interview guides for better preparation, and if you have any questions, don’t hesitate to reach out to us.
Good luck with your interview!