One80 Intermediaries is a forward-thinking insurance brokerage that specializes in unique insurance solutions tailored to client needs. Known for its innovative approach and strong market presence, One80 Intermediaries has carved a niche in the insurance industry. The Business Intelligence position at One80 Intermediaries requires exceptional analytical skills, strong competence in data management, and a keen eye for deriving actionable insights from complex data sets. As a Business Intelligence professional, you will be integral in transforming data into strategies that drive business success.

Considering a role at One80 Intermediaries? This guide is for you. Here, we’ll delve into the interview process, discuss commonly asked Business Intelligence interview questions, and offer valuable tips to help you succeed. Let’s get started with Interview Query!

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining One80 Intermediaries as a Business Intelligence expert. Whether you were contacted by a One80 Intermediaries 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 One80 Intermediaries 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 One80 Intermediaries 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 Business Intelligence role usually is conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around One80 Intermediaries' data systems, ETL pipelines, and SQL queries.

For Business Intelligence roles, take-home assignments regarding product metrics, analytics, and data visualization are often 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 One80 Intermediaries 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 Business Intelligence role at One80 Intermediaries.

Quick Tips For One80 Intermediaries Business Intelligence Interviews

• Understand One80 Intermediaries’ Business Model: Knowing how the company operates, their key products, and industry positioning can help you provide more targeted and strategic answers during the interviews.
• Brush Up on Technical Skills: One80 Intermediaries places a strong emphasis on data-related skills, especially in SQL, data visualization, and ETL processes. Make sure you are proficient in these areas.
• Be Data Driven: Your ability to provide business insights through data will be key. Brush up on your knowledge of statistics, probability, and business intelligence tools.

Typically, interviews at One80 Intermediaries vary by role and team, but commonly Business Intelligence interviews follow a fairly standardized process across these question topics.

• What are type I and type II errors in hypothesis testing? Explain the difference between type I errors (false positives) and type II errors (false negatives). Optionally, describe the probability of making each type of error mathematically.

• How would you select Dashers for Doordash deliveries in NYC and Charlotte? Doordash is launching delivery services in New York City and Charlotte. Describe the process for selecting Dashers and discuss whether the criteria should differ between the two cities.

• How would you improve Google Maps and measure success? As a PM on Google Maps, suggest improvements and specify the metrics you would use to evaluate the success of these feature enhancements.

• Why are job applications decreasing despite stable job postings? Analyze why the number of job applicants is decreasing even though the number of job postings per day has remained constant over the past few months.

• How would you analyze the performance of a new LinkedIn feature without A/B testing? As a data scientist at LinkedIn, describe how you would evaluate the performance of a new feature that allows candidates to message hiring managers directly, given that A/B testing is not possible due to engineering constraints.

• 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.

• Develop a function get_ngrams to return a dictionary of n-grams and their frequency in a string. Write a function get_ngrams to take in a word (string) and return a dictionary of n-grams and their frequency in the given string.

• Write a function to determine if a string is a palindrome. Given a string, write a function to determine if it is a palindrome — a word that reads the same forwards and backwards (e.g., ‘reviver,’ ‘madam,’ ‘deified,’ ‘civic’).

• Write a query to find users currently "Excited" and never "Bored" with a campaign. Write a query to find all users that are currently "Excited" and have never been "Bored" with a campaign.

• Write a function moving_window to find the moving window average of a list of numbers. Given a list of numbers nums and an integer window_size, write a function moving_window to find the moving window average.

• What methods could you use to increase recall in product search results without changing the search algorithm? As a data scientist at Amazon, you want to improve the search results for product searches but cannot change the underlying logic in the search algorithm. What methods could you use to increase recall?

• What metrics would you use to track the accuracy and validity of a spam classifier model? You are tasked with building a spam classifier for emails and have built a V1 of the model. What metrics would you use to track the accuracy and validity of the model?

• How would you justify the complexity of a neural network model and explain its predictions to non-technical stakeholders? Your manager asks you to build a model with a neural network to solve a business problem. How would you justify the complexity of building such a model and explain the predictions to non-technical stakeholders?

• How would you evaluate and validate a decision tree model for predicting loan repayment? As a data scientist at a bank, you are tasked with building a decision tree model to predict if a borrower will pay back a personal loan. How would you evaluate whether using a decision tree algorithm is the correct model for the problem? How would you evaluate the performance of the model before deployment and after?

• When would you use a bagging algorithm versus a boosting algorithm? You are comparing two machine learning algorithms. In which case would you use a bagging algorithm versus a boosting algorithm? Provide an example of the tradeoffs between the two.

• What's the probability that the second card is not an Ace? You have to draw two cards from a shuffled deck, one at a time. Calculate the probability that the second card drawn is not an Ace.

• What are type I and type II errors in hypothesis testing? Explain the difference between type I errors (false positives) and type II errors (false negatives) in hypothesis testing. Bonus: Describe the probability of making each type of error mathematically.

• How much do you expect to pay for a sports game ticket? You can buy a scalped ticket for $50 with a 20% chance of not working. If it doesn't work, you'll need to buy a box office ticket for $70. Calculate the expected cost and how much money you should set aside for the game.

• Is the coin fair if it comes up tails 8 times out of 10 flips? 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.

• What is the difference between covariance and correlation? Explain the difference between covariance and correlation, and provide an example to illustrate the concepts.

Landing a Business Intelligence position at One80 Intermediaries offers a unique opportunity to join a dynamic team that is redefining the space with innovative data-driven solutions. If you want more insights about the company, check out our main One80 Intermediaries 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 One80 Intermediaries' 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 One80 Intermediaries interview 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!