Oeconnection (OEC) is a prominent technology company that specializes in developing solutions for the automotive industry, aiding parts and service operations. They are known for fostering innovation and utilizing advanced data analytics to streamline automotive processes.

The Business Intelligence position at OEC involves leveraging data to drive strategic decisions and enhance operational efficiencies. The role requires proficiency in data analysis, data visualization, and SQL, as well as an understanding of the automotive business landscape. As a Business Intelligence professional at OEC, you will be responsible for transforming complex datasets into actionable insights, collaborating with cross-functional teams to support data-driven strategies.

At Interview Query, we're here to help you navigate the interview process for this pivotal role at OEC. This guide will provide an outline of the interview stages, sample questions, and valuable tips to help you succeed. Let's delve into the details!

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Oeconnection (OEC) as a Business Intelligence professional. Whether you were contacted by an OEC 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 OEC 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 OEC Business Intelligence 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 OEC 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 OEC’s data systems, ETL pipelines, and SQL queries.

In the case of Business Intelligence roles, take-home assignments regarding data analytics, business metrics, and data visualization are incorporated. Apart from these, your proficiency in SQL queries, data manipulation, and reporting tools like Tableau or Power BI 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 OEC office. Your technical prowess, including data analysis and business intelligence 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 OEC.

Quick Tips For OEC Business Intelligence Interviews

A few tips for acing your OEC interview include:

• Understand Your Data: OEC Business Intelligence interviews often revolve around your ability to analyze and interpret data to make business decisions. Make sure you have a strong grasp of data analytics and visualization tools.
• Be Business-Savvy: OEC values candidates who can translate data insights into actionable business strategies. Brush up on your knowledge of business operations and decision-making processes.
• Be Ready for Technical Challenges: Given the nature of the role, you can expect technical questions around SQL, data manipulation, and ETL processes. Practice SQL queries and be comfortable with data manipulation tasks.

Typically, interviews at Oeconnection (Oec) vary by role and team, but commonly Business Intelligence 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.

• Create 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.

• Develop 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 rotated array and return its index, or -1 if not found. Bonus: Achieve (O(\log n)) runtime complexity.

• 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 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 found 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 and formatting changes needed for messy student test score data? You have student test scores in two different layouts (dataset 1 and dataset 2). Identify the drawbacks of these layouts, 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? You are comparing 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?

Excited to join Oeconnection (OEC) as a Business Intelligence professional? Dive deeper into the interview prep with our comprehensive Oeconnection Interview Guide, where we cover various relevant interview questions. Plus, explore other roles like software engineer and data analyst, to get a more holistic view of OEC's interview process.

At Interview Query, we equip you with the insights, confidence, and strategic guidance to ace your Business Intelligence interview at OEC. Check out all our company interview guides for thorough preparation, and if you have any questions, don’t hesitate to reach out to us.

Good luck with your interview!