DraftKings Business Analyst Interview Questions + Guide in 2024

DraftKings Business Analyst Interview Questions + Guide in 2024DraftKings Business Analyst Interview Questions + Guide in 2024

Introduction

DraftKings is known as one of the most mature sports betting companies when it comes to making business decisions through analytics. Despite offering the losing team better odds to win, they still managed to earn $8 million during Super Bowl 2024, while other companies incurred millions of dollars in losses.

This fact serves as a testament to the high-quality analytics work at DraftKings. Consequently, the selection process for analytics positions, such as Business Analysts, can be highly selective, which means that you need to be fully prepared before the interview.

If you’re preparing for an interview and searching for commonly asked questions for a Business Analyst role at DraftKings, you’ve come to the right place.

This guide is tailored to the Business Analyst position at DraftKings. Additionally, valuable tips will be provided to help you stand out from other candidates. So, let’s delve into these questions!

What is the Interview Process Like for a Business Analyst Position at DraftKings?

The interview process duration may vary depending on the applied role, but for a Business Analyst position at DraftKings, it typically involves four distinct rounds, each managed by different teams.

Application and Resume Screening

The interview process kicks off with a thorough review of your application documents. In this round, recruiters assess whether your qualifications, experiences, and skills align with the job requirements. Based on the info from their website, you’ll get a feedback of this stage roughly about 10 business days after document submission.

Phone Interview with HR

If your qualifications and experiences meet the initial screening criteria, you’ll be invited to a brief phone interview with an HR representative. This round typically lasts approximately 15 to 30 minutes. In this stage, the HR representative will delve deeper into specific details from your resume, and they will explore your motivations and career aspirations.

First Technical Round

As a candidate for the Business Analyst position, you need to show that you possess the required technical skills. Therefore, in this round, you’ll have your first technical interview, normally conducted with team members from the analytics department. The typical questions include the concepts of probability, statistics, and a little bit of behavioral.

Second Technical Round

If you successfully clear the first technical round, you’ll advance to the final stage—the second technical round. Here, you’ll have the interview with the analytics manager and one of the team members from the analytics department. The question in this stage is geared towards a business case study.

This means that you are presented with business analytics problems relevant to DraftKings’ operations and are expected to propose solutions while explaining your reasoning. Additional behavioral questions may also be asked to assess your communication and interpersonal skills.

What Questions Are Asked in a DraftKings Business Analyst Interview?

Now that you have an overview of the interview process, let’s delve into the typical questions you can expect in a Business Analyst interview at DraftKings. As mentioned earlier, the interview will cover a range of questions, from behavioral to technical questions.

Behavioral questions will focus on understanding your motivations and approach to addressing everyday challenges, including how you collaborate with colleagues to achieve objectives. On the other hand, technical questions will evaluate your proficiency in statistics and probability, which are integral to your role as a Business Analyst at DraftKings.

Here are some common behavioral and technical questions you may encounter during the interview.

1. Can you tell us your approach to staying up to date with the new trends in Business Intelligence?

If you want to become one of the top Business Analysts, staying updated with the latest technologies and trends within the field is essential. Also, having a natural passion for learning new things is highly desirable at DraftKings, as it benefits both you and the company in the long run.

How to Answer

Mention specific resources such as industry publications, online courses, webinars, conferences, and professional associations that you regularly engage with to keep yourself up to date on developments in BI. Don’t forget to highlight your commitment to professional development and how you would like to integrate new insights and techniques into your work practices.

Example

“To keep myself informed about the latest trends of BI, I regularly participate in online courses on platforms like Coursera and Udemy to deepen my knowledge of emerging BI technologies and methodologies. Also, I occasionally attend webinars and conferences to learn from industry experts and practitioners and stay updated on the latest tools and techniques. By continuously learning and adapting to new trends, I would like to make sure that my skills and expertise remain relevant and valuable to enhance my professional development.”

2. What is your approach to resolving conflict with co-workers or external stakeholders, partially when you don’t really like them?

The primary goal of this question is to evaluate your interpersonal skills. At DraftKings, collaboration within cross-functional teams with diverse areas of expertise is common, making conflict resolution a valuable skill. Demonstrating your ability to effectively collaborate and manage conflicts while maintaining professionalism will significantly increase your chances of being hired.

How to Answer

Start by describing your approach to conflict resolution by emphasizing empathy, communication, and problem-solving skills. Then, highlight your ability to remain professional and diplomatic, even in challenging situations or when dealing with people you may not particularly like, by mentioning specific strategies such as active listening, seeking common ground, and finding mutually beneficial solutions. Don’t forget to emphasize your commitment to maintaining a positive and collaborative work environment.

Example

“My approach to resolving conflicts revolves around open communication, empathy, and a focus on finding mutually beneficial solutions. Even when faced with disagreements or dealing with individuals I may not particularly like, I would prioritize professionalism and try to maintain positive working relationships. I like to actively listen to others’ perspectives and then try to seek common ground. For example, in my previous project, I encountered differences of opinion with a team member regarding the prioritization of tasks. Instead of escalating the conflict, I initiated a one-on-one conversation to understand their concerns and collaboratively brainstormed alternative approaches that aligned with both our objectives.”

3. Can you describe a situation when you need to use your data analysis skills to solve a business problem?

This question assesses your ability and experience to extract meaningful insights from data that lead to a tangible impact on business’ strategic decisions. If the interviewer knows that you’ve done something impactful with data in your previous role as a Business Analyst, then your chances of getting hired will massively increase.

How to Answer

First, provide a general description of a specific business problem you encountered in a previous role where you applied your data analysis skills to find a solution. Then, explain the steps you took to analyze the data, including data collection, cleaning, analysis, and interpretation of results. Finally, highlight the impact of your analysis on addressing the business problem.

Example

“In my previous company, we faced a challenge with customer churn, where a significant number of customers were discontinuing their subscriptions. To address this issue, I conducted a comprehensive analysis of customer data, including demographics, usage patterns, and engagement metrics. I used advanced analytics techniques to identify factors contributing to churn. By using insights from the analysis, we implemented targeted retention strategies, such as personalized offers and proactive customer support initiatives. As a result, we were able to reduce customer churn by 15% within only six months.”

4. Tell us about a time when you exceeded expectations during a project. What did you do, and how did you accomplish it?

Regardless of the position that you apply for, whether a Business Analyst or another profession, your ability to deliver tasks with high quality is a very desirable trait to have. At DraftKings, candidates who demonstrate initiative and a commitment to achieving objectives effectively and efficiently are sought after.

How to Answer

Start by mentioning a specific project where you exceeded expectations by highlighting the actions you took and the outcomes achieved. Next, discuss the challenges you encountered during the project and how you overcame them. While mentioning a specific project, don’t forget to always emphasize your proactive approach, attention to detail, and ability to collaborate effectively with team members to achieve project success.

Example

“In my previous role, I was tasked with optimizing the customer onboarding process to improve retention rates. As the lead Business Analyst, I conducted a comprehensive analysis of the existing onboarding workflow, identifying areas for improvement. One significant challenge was the lack of integration between our CRM system and the onboarding platform, leading to inefficiencies and data discrepancies.

To address this, I collaborated with cross-functional teams, including IT and operations, to design a solution that involved implementing API integrations and streamlining data flows between systems. As a result, we successfully launched the improved onboarding process ahead of schedule, resulting in a 20% improvement in customer retention rates within the first quarter.”

5. What led you to pursue a career in business analysis, and what sparked your interest?

The whole point of this interview question is clear: people at DraftKings want to assess your motivation behind your decision to apply for the Business Analyst position. They want to ensure that you have a genuine interest in analytics and you’re able to leverage data to drive their company forward.

How to Answer

Start by sharing your personal reasons for choosing a career in business analysis by highlighting aspects such as your interest in problem-solving, data analysis, and making strategic business decisions. Then, discuss any experiences or moments in your career or education that sparked your interest in business analysis and motivated you to pursue this career path. Don’t forget to also emphasize how your skills, strengths, and professional goals align with the responsibilities and objectives of the Business Analyst role.

Example

“During my undergraduate studies in economics, I was exposed to various analytical techniques and business case studies that sparked my interest in leveraging data to solve real-world problems. My interest in business analysis increased even higher after my internships at a company where I had the opportunity to work with cross-functional teams to analyze complex datasets and present our findings. I believe that with my analytical skills, attention to detail, and strategic mindset, I will be well-suited for challenges and opportunities in the field of business analysis.”

6. Let’s say that you’re playing a dice game, and you have two dice. What is the probability of rolling at least one 3?

In the sports betting industry and sports fantasy, there are numerous use cases that can be solved through the application of probability concepts. As an example, probability enables Business Analysts to quantify the likelihood of various betting strategies to maximize long-term profits. Therefore, aspiring Business Analysts need to have a solid understanding of probability concepts.

How to Answer

You need to calculate the probability of rolling at least one 3 using basic probability principles, considering all possible outcomes of rolling two dice. Also, provide a brief explanation of your calculation method and reasoning behind the probability value obtained.

Example

“To calculate the probability of rolling at least one 3 with two dice, we first determine the total number of possible outcomes when rolling two dice, which is 36 (6 sides on each die, resulting in 6 * 6 = 36 possible combinations). Next, we identify the number of favorable outcomes, where at least one die shows a 3. There are 11 such outcomes: (3,1), (3,2), (3,3), (3,4), (3,5), (3,6), (1,3), (2,3), (4,3), (5,3), and (6,3). Therefore, the probability of rolling at least one 3 is 1136 or approximately 0.3056, which can also be expressed as 30.56%.”

7. You buy a scalped ticket at the stadium that has a 20% chance of not working. However, you need to buy a $70 box office ticket if your scalped ticket doesn’t work. What’s the expected value of this situation?

When you’re applying for a Business Analyst position, DraftKings expects you to understand how to assess risks, as sports betting is one of their main focuses. Knowing the theory of expected value will also help you to assess the potential outcomes of different betting strategies.

How to Answer

As a first step, calculate the expected value (EV) of the situation by considering the probability of each outcome and the associated payoffs. Next, multiply each payoff by its corresponding probability and finally sum the results to find the EV.

Example

“To calculate the expected value of the situation, we first need to take a look at the probability of a scalped ticket working, which is 80%, and not working, which is 20%. If the scalped ticket works, we don’t need to spend anything. If it doesn’t work, we spend an additional $70 on a box office ticket. Therefore, the expected value can be calculated as: (0.8 * X) + (0.2 * (X + $70)), where X is the price of a scalped ticket.”

8. Let’s say you have to analyze the results of an A/B test. One variant of the A/B test has a sample size of 50K users, and the other has a sample size of 200K users. Given the unbalanced size between the two groups, can you determine if the test will result in a bias towards the smaller group?

To make informed decisions and findings based on data, a Business Analyst should understand the theory of statistics. This is especially true at DraftKings, where you need to continuously test new features of fantasy sports on customer behavior. This question assesses your ability to make accurate findings regarding A/B testing that will be implemented a lot at DraftKings.

How to Answer

First, explain the concept of bias in A/B testing and how sample size imbalances can potentially introduce bias towards the smaller group. Then, start to discuss strategies for mitigating bias in A/B tests with unequal sample sizes, such as adjusting the analysis method or implementing statistical techniques like weighting or propensity score matching.

Example

“In A/B testing, bias refers to the systematic favoritism towards one variant over the other due to factors unrelated to the treatment itself. When there is a significant difference in sample sizes between the two variants, there is a potential for bias towards the smaller group. This is because statistical inference may be influenced more by the larger sample size. To mitigate bias in this scenario, we can consider adjusting the analysis method to account for the sample size difference or implementing statistical techniques like weighting or propensity score matching.”

9. What methods do you use to ensure accurate data analysis and data visualizations?

Delivering an accurate and reliable analysis is one of the main tasks of a Business Analyst, especially in an industry where decisions are made based on data-driven insights like DraftKings. This question will assess your approach to presenting an analysis and how you deal with anomalies in the data.

How to Answer

First, start by discussing the methods you’ll use to ensure the accuracy and reliability of your analysis and visualization, such as data validation, thorough testing, peer review, etc. Next, don’t forget to highlight the importance of using credible data sources and employing robust statistical techniques to minimize errors and biases. Also, don’t forget to emphasize the significance of transparency in your analysis process, such as by documenting assumptions, methodologies, and limitations.

Example

“Based on my experience in my previous role, I would meticulously validate data sources, perform thorough testing of analytical models, and incorporate peer review feedback to ensure accuracy. I follow best practices in data analysis and visualization, ensuring that statistical techniques are applied appropriately and biases are minimized. Additionally, I prioritize transparency by documenting assumptions, methodologies, and limitations, which allows the managers and stakeholders to understand and trust the results of my analysis.”

10. Let’s say we want to launch a re-design of a landing page to improve the click-through rate. We can do this by implementing an A/B test. Given that we launch an A/B test, how would you infer if the results of the click-through rate were statistically significant or not?

A/B testing is continuously conducted at DraftKings to improve their product and increase customer engagement. Therefore, be prepared to answer some questions about this, and don’t forget to level up your knowledge about this topic. The interviewer wants to assess if you have the skills to understand the concept of A/B testing and can make accurate findings based on the observation.

How to Answer

First, explain the concept of statistical significance in the context of A/B testing and its importance in determining whether observed differences in click-through rates are due to genuine effects or random chance. Then, discuss common statistical methods used to assess statistical significance in A/B testing, such as hypothesis testing (e.g., using t-tests or z-tests) and calculating confidence intervals. Next, outline the steps involved in evaluating A/B test results for statistical significance, including defining null and alternative hypotheses, selecting an appropriate significance level (e.g., α = 0.05), and conducting statistical tests.

Example

“In the context of launching a re-design of a landing page to improve the click-through rate through an A/B test, determining whether the observed differences in click-through rates are statistically significant is crucial. Statistical significance indicates that the differences observed in click-through rates between the control and variant groups are unlikely to have occurred by random chance. We typically assess statistical significance using hypothesis testing, where we define null and alternative hypotheses, select a significance level (e.g., α = 0.05), and conduct statistical tests such as t-tests or z-tests. If the p-value obtained from the test is less than the significance level, we reject the null hypothesis and conclude that the observed differences are statistically significant.”

11. Which BI tools are you familiar with?

If you’d like to work as a Business Analyst at any company, be prepared to be asked this question. This is because your main task as a Business Analyst will be to analyze data and present your analysis to different managers and stakeholders. You need to use different technology stacks to be able to do the task.

How to Answer

Start by listing all the BI tools you are familiar with, and it’s better if those tools are also mentioned in the job description. Next, provide brief explanations of your experience with each tool by telling them about any relevant projects you’ve completed using them. Also, don’t forget to highlight your ability to adapt to new tools and learn quickly if necessary.

Example

“I am proficient in two BI tools, such as Tableau and Power BI. In my previous role, I used Tableau extensively to visualize performance metrics that help stakeholders make informed business decisions. I also have experience with Power BI, where I created interactive dashboards to monitor key performance indicators in real time. I have a strong interest in and I’m prepared to learn new BI tools to excel in any role I’m in.”

12. Given a table called ‘transactions’, which has user id, date, product id, and quantity, write a SQL query to sample every 4th row of product id ordered by the date?

When applying for a Business Analyst position at DraftKings, you’re expected to already know the basics of SQL. This is because the data at DraftKings are huge in size and volume, which means you’ll be ingesting data that you need to analyze mainly with SQL queries. Therefore, make sure that you also level up your SQL skills before applying.

How to Answer

When dealing with an SQL question, make sure that you read the question carefully. Take a closer look at the input table and the data type of each column, as well as the expected output.

For this question, it’s necessary to use a subquery to assign row numbers to each row in the ‘transactions’ table after we order them according to date. Since we want to sample every 4th order, we can use a WHERE clause.

Example

“Since we want to fetch the product id according to the ordered date from the ‘transactions’ table, then we use a SELECT … FROM transactions clause to fetch both variables. Next, since we want to order the output by date, then we can use an ORDER BY clause at the end of the query. To sample every 4th row, we can use a WHERE clause. Finally, we can utilize the subquery concept to assign row numbers to each row after we order them according to the data. Below is the complete SQL query:”

SELECT created_at, product_id

FROM (

SELECT created_at, product_id,

ROW_NUMBER() OVER (ORDER BY created_at) AS row_num

	FROM transactions

) AS numbered_rows

WHERE row_num % 4 = 0

ORDER BY created_at;

13. What is the expected value of a die roll?

As an aspiring Business Analyst, mastering the theory of expected value can make you a valuable asset for companies like DraftKings. This knowledge allows you to assist the company in designing betting strategies that maximize long-term profits and evaluating the risk associated with various betting strategies. This, in turn, enhances client trust and engagement with the company.

How to Answer

First, you need to mention what the expected value of a die roll means, which is the average value that can be expected over many rolls, considering all possible outcomes and their probabilities. Next, start to calculate the expected value of a fair six-sided die by summing the products of each outcome (1 through 6) and its probability (16 for each outcome).

Example

“The expected value of a die roll is calculated by summing the products of each outcome (1 through 6) and its probability (16 for each outcome). Therefore, for a fair six-sided die, the expected value is (16 * 1) + (16 * 2) + (16 * 3) + (16 * 4) + (16 * 5) + (16 * 6) = 3.5. This means that, on average, we can expect a roll of a fair die to result in a value of 3.5.”

14. Let’s say that you work for a SAAS company and a PM comes up to you and tells you that users that come from Country X convert from a free trial to paying at a much higher rate than users from Country Y. What would you investigate further to determine why this was happening?

If you would like to become a Business Analyst at DraftKings, be prepared to get a business case-study question like this. With this question, people at DraftKings would like to assess your critical thinking and problem-solving skills. The main goal is not to get the correct solution, but to walk them through your thought process of how you come up with the solution.

How to Answer

First, identify potential factors that could influence the difference in conversion rates, such as cultural differences, economic factors, user demographics, or product-specific features. Then, propose hypotheses based on these factors and suggest investigative approaches to test and validate these hypotheses. Finally, don’t forget to recommend potential actions or experiments to address any identified issues or capitalize on opportunities to improve conversion rates for users from Country Y.

Example

“To determine why users from Country X are converting from free trials to paying at a higher rate than users from Country Y, I would first explore potential factors contributing to this discrepancy. These factors could include cultural differences, economic conditions, user demographics, or differences in product features or marketing strategies targeted at each country.

To investigate further, I would conduct a comprehensive analysis of user data, segmenting users by country and analyzing their behavior throughout the user journey, from signing up for a free trial to converting to a paying customer. I would also test different product features, marketing messages, or pricing strategies tailored to users from Country Y and see their impact on conversion rates with A/B testing.”

15. What is your step-by-step approach of cleaning the data?

Data cleaning is a mandatory step every Business Analyst should do before analyzing data any further in any data analysis project. This question assesses your understanding of different kinds of data cleaning techniques to ensure that you’re able to present comprehensive and accurate results from your data.

How to Answer

First, mention the common approach to data cleaning, including steps such as identifying and handling missing values, removing duplicates, correcting inconsistencies, validating data integrity, etc. Next, emphasize the importance of understanding the data domain and business context to inform data cleaning decisions effectively.

Example

“My approach to data cleaning involves several steps. First, I conduct data profiling to understand the structure and quality of the data. Then, I identify and handle missing values using techniques like imputation or deletion based on the nature of the data and business requirements. Next, I address duplicates and inconsistencies by performing deduplication and data standardization. Throughout the process, I use tools such as Excel, Python, or SQL scripts to automate repetitive cleaning tasks and ensure efficiency.”

16. What are the Z and t tests and what is the difference between them?

This question assesses your knowledge on how to properly conduct hypothesis testing. Each test has specific conditions that need to be fulfilled and knowing the difference between these two would make an impact on the accuracy of the findings. If you want to be a Business Analyst at DraftKings, make sure to brush up your inferential statistics skill to be able to distinguish between different variations of hypothesis testing.

How to Answer

Begin by explaining what Z and t tests are and their primary purposes in statistical hypothesis testing. Next, describe the scenarios in which each test is typically used and the key differences between them, such as the assumptions they make and the sample size requirements. Then, segue to mention the circumstances under which one test may be preferred over the other, such as when the population standard deviation is known or when dealing with small sample sizes.

Example

“Z and t tests are both statistical hypothesis tests used to assess the significance of observed differences between sample means or proportions. The Z test is typically used when the population standard deviation is known, or the sample size is large, while the t-test is used when the population standard deviation is unknown, or the sample size is small.

For example, let’s say that we want to perform A/B testing where we compare the performance of different website versions or marketing campaigns. In this scenario, we might use a t-test to determine if there is a statistically significant difference in conversion rates between two groups of users exposed to different conditions. If the sample size is large or the population standard deviation is known, a Z-test could be more appropriate.”

17. What is your approach when you need to visualize data with a large number of variables?

When applying for a Business Analyst position at DraftKings, proficiency in data visualization is expected. However, when dealing with datasets containing numerous variables, effective visualization becomes challenging. As a result, you are required to possess the skills necessary to visualize and present key variables in complex datasets.

How to Answer

First, start by describing your approach to visualizing data with a large number of variables by emphasizing techniques for simplifying and summarizing complex information. Next, highlight the use of visualization tools and techniques such as dimensionality reduction, clustering, and hierarchical grouping to organize data effectively. Don’t forget to also emphasize the importance of selecting appropriate visualization types (e.g., scatter plots, heatmaps, treemaps) based on the data characteristics and analysis goals.

Example

“When dealing with a large number of variables, my approach focuses on simplifying and summarizing the data. I normally use techniques such as dimensionality reduction such as principal component analysis (PCA) or t-distributed stochastic neighbor embedding (t-SNE) to reduce the number of variables while preserving key information of the data.

Additionally, I might also implement clustering algorithms to group similar variables together, making it easier to identify patterns and relationships.

When selecting visualization types, I consider the data characteristics and analysis goals to choose the most appropriate charts or graphs, such as scatter plots for exploring relationships or heatmaps for visualizing correlations.”

18. Let’s say you’re working with survey data sent in the form of multiple choice questions. How would you test if survey responses were filled at random by certain individuals, as opposed to truthful selections?

One of the most fundamental prerequisites of comprehensive statistical analysis is by making sure that the samples’ quality is on point and they’re obtained by random. It is the task of a Business Analyst to assess the data quality before making an insight based on it. In this question, people at DraftKings want to assess your ability to handle uncertainty in the quality of the data that you work on.

How to Answer

Start by explaining the importance of detecting random responses in survey data and its implications for data quality and decision-making. Next, start to discuss various statistical methods or techniques that can be used to test if survey responses were filled randomly, such as chi-square tests, frequency analysis, or outlier detection methods. Don’t forget to also mention additional investigative approaches that could be employed to understand why random responses may be occurring, such as reviewing survey design or identifying patterns in response patterns.

Example

“Detecting whether survey responses were filled randomly by certain individuals is crucial for maintaining data integrity and ensuring the validity of insights derived from survey data. One common approach to test for randomness in survey responses is by using statistical methods such as chi-square tests or frequency analysis. These tests compare the observed frequency distribution of responses to the expected distribution under the assumption of randomness.

For example, we could use a chi-square goodness-of-fit test to compare the observed frequency of responses for each multiple-choice question to the expected frequency distribution assuming random selection. If the test results in a statistically significant difference between the observed and expected distributions, it suggests that responses may not be random.

Additionally, we should also do further investigation to identify potential factors that are influencing the randomness of the responses. This can be done by examining the wording and structure of survey questions, evaluating the incentives provided for survey participation, or investigating the timing and method of survey distribution.”

19. Can you walk us through your process to determine which type of visualization to use for a given dataset?

As a Business Analyst at DraftKings, the ability to choose appropriate data visualization according to the characteristics of the data is crucial. This question assesses your understanding of different data visualization charts and the scenario in which you can implement them.

How to Answer

First, describe the first thing that you look at when determining which data visualization to use, such as the characteristics of the dataset or the analysis goals. Next, explain how you consider factors such as data type, distribution, relationships, and audience preferences when selecting visualization techniques.

Example

“My process begins by understanding the dataset and analysis goals, including the type of data (whether a variable is categorical or numerical), the distribution of variables, and the relationships among them. Based on these factors, I consider the most suitable visualization types. As an example, I would consider bar charts for comparing categorical variables, line charts for showing trends over time, or scatter plots for exploring relationships between numerical variables. I also take into account the audience’s preferences and the context of the analysis to ensure that the visualizations are engaging and informative.”

20. Let’s say we’re given a biased coin that comes up heads 30% of the time when tossed. What is the probability of the coin landing as heads exactly 5 times out of 6 tosses?

Knowing different types of probability distributions and when to apply them is crucial for Business Analysts. When working at DraftKings, you’ll be presented with use cases which require probability knowledge, for example when they design new algorithms to compute the probability of a particular outcome of a sport event. Knowing which probability distribution that suits a particular scenario best would help you to make comprehensive risk assessments to clients or stakeholders.

How to Answer

When dealing with a probability question, make sure that first you understand the input that you have and the objective. Explain that with the scenario of a biased coin, we can use the binomial probability formula to calculate the probability of the coin landing heads exactly 5 times out of 6 tosses.

Example

“We have a scenario with a biased coin that lands heads 30% of the time. The objective is to calculate the probability of this coin landing heads exactly 5 times out of 6 tosses.

We can solve this problem using binomial distribution. The formula for this probability distribution is as follows:

P(X=k) = (n \choose k) * p^k * (1-p)^(n-k),

where n is the number of trials, k is the number of successes, and p is the probability of success. Plug in the values that we have into the formula, we get:

P(5 heads out of 6 tosses) = (6 \choose 5) * (0.3)^5 * (0.7)^(6-5)

= 6 * (0.3)^5 * (0.7)

≈ 0.08829

This probability indicates that there’s an approximately 8.83% chance of the biased coin landing heads exactly 5 times out of 6 tosses.”

How to Prepare for a Business Analyst Interview at DraftKings

As you’ve seen from the list of questions above, the interview process at DraftKings for a Business Analyst position demands a strong understanding of analytical principles, problem-solving capabilities, and familiarity with the sports entertainment industry.

Here are several tips to help you prepare effectively and stand out during the interview process.

Understand the Company and Industry

Before delving into technical preparations, take the time to thoroughly research DraftKings and the sports entertainment industry.

Familiarize yourself with the company’s products, services, and business model by exploring their website, listening to podcasts, reading engineering blogs, and watching relevant videos. Prepare insightful questions based on your research to demonstrate your interest and engagement during the interview.

Master Business Analysis Fundamentals

DraftKings seeks candidates with a solid foundation in business analysis principles. Expect questions related to the fundamentals of business analysis such as data preprocessing, statistical analysis, and decision-making. Brush up on core concepts such as hypothesis testing, probability, statistics, SQL, and data visualization techniques. Utilize resources like online learning paths and practice implementing analytical methodologies using tools like Python or R.

We have several learning paths that will help you level up your knowledge in the fundamentals of business analysis, such as the Data Analytics Learning Path, Statistics and A/B Testing Learning Path, Probability Learning Path, SQL Learning Path, and Python Learning Path. Once you master the fundamentals of business analysis, you can take the challenges on our site, where you’ll be competing against your peers to answer interview questions from a specific data related position of your choice.

Showcase Domain Knowledge

Given DraftKings’ focus on sports entertainment, showcasing your passion for sports can significantly increase your chance of getting hired. Demonstrate how you’ve integrated your interest in sports with your analytical skills by preparing projects related to sports analytics, fantasy sports, or player performance analysis. Present your projects in a comprehensible manner during the interview by highlighting key insights and methodologies.

If you wish to improve your skill to present the findings in your projects, then you can try to finish some of the our take-home challenges. There, you can choose the problem that sparks your interest and you can practice solving it on a step-by-step basis with the help of a notebook.

Practice Effective Communication

Effective communication is crucial for success as a Business Analyst at DraftKings. Practice articulating complex analytical concepts and presenting your findings in a clear and concise manner. Be prepared to discuss your past projects and when you do so, don’t forget to emphasize your contributions, methodologies, and outcomes. We recommend that you conduct a mock interview to refine your communication skills and receive personalized feedback from fellow analytics enthusiasts.

To do this, check out Interview Query’s Mock Interviews. There, you’ll be connected with fellow data enthusiasts where you can give and receive personalized feedback. You should practice articulating your thoughts and walking other people through your thought process. We also offer a coaching service where you can get personalized programs, tips, and guidance for your interview preparation.

FAQs

These are some of the frequently asked questions by people interested in working as a Business Analyst at DraftKings.

How much do Business Analysts at DraftKings make in a year?

The base pay for a Business Analyst at DraftKings is currently unknown, and we will keep you updated as we gather more data points on that. However, you can check the average base salary and the average total compensation for a Business Analyst position in general on our Business Analyst Salary page.

We don't have enough data points to render this information. Submit your salary and get access to thousands of salaries and interviews.

Where can I read more about people’s interview experiences for the Business Analyst position at DraftKings here on Interview Query?

We do not currently have a section on interview experience for a Business Analyst position at DraftKings at the moment. However, you can read other people’s interview experiences at other companies for the Business Analyst role or any other data related positions in our Interview Experiences section.

You can also interact with other analytics enthusiasts or people who are seeking data related positions in the IQ community on Slack.

Does Interview Query have job postings for the DraftKings Business Analyst position?

We do not directly list job postings for a specific company and position, including a Business Analyst position at DraftKings. If you would like to get the most recent and up-to-date opportunity for the Business Analyst position, we would recommend you to directly go to their official career website.

If you also happen to consider finding new opportunities for a Business Analyst position at any company, then you can check out our Jobs Board. It’s updated with the most recent job postings not only for Business Analyst positions, but also other data-related positions from some of the most famous companies around the world.

Conclusion

Now you know the typical Business Analyst interview questions at DraftKings. As mentioned several times in the article, getting a Business Analyst position at this company is challenging and you need to make sure to be fully prepared before the interview process.

Mastering fundamental analytical concepts, practicing interview questions, and honing communication abilities should be significant aspects of your preparation. A big plus point if you’re able to demonstrate genuine passion for sports and analytics, as it can set you apart from other candidates.

If you’re also interested in knowing the interview process of other data related positions at DraftKings, feel free to check them out on our site, as we have covered their Data Scientist, Data Engineer, Product Analyst, Data Analyst, and Software Engineer Interview Guides for you.

We hope that this article is helpful in preparing you for the Business Analyst position at DraftKings. If you have questions or help, don’t hesitate to contact us on our site!