Since its inception in 2000, OEC has expanded globally to over 1,400 employees, experiencing double-digit revenue growth nearly every year. The company offers a vibrant culture, employee rewards, recognition, and the chance to develop and implement innovative technology solutions.

As a Data Analyst in Advanced Service Release at OEC, you will be responsible for reviewing new and major European product programs, monitoring vehicle program development, and establishing a Service Bill of Materials (SBOM) to define repair and service parts needs. Core responsibilities include program planning, creating spare parts lists, monitoring release quality, and supporting reporting processes.

If you aim to join this dynamic environment and possess a background in automotive engineering, strong problem-solving skills, and experience with MS Office applications, this role might be for you. In this guide, we’ll walk you through the interview process, commonly asked questions, and valuable tips. 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 Oeconnection (OEC) as a Data Analyst. 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, particularly any experience related to automotive, data maintenance, and technical projects.

Recruiter/Hiring Manager Call Screening

If your CV happens to be among the shortlisted few, a recruiter from OEC's Talent Acquisition Team will make contact and verify key details like your experiences and skill level. Behavioral questions may also be part of the screening process.

In some cases, the OEC data analyst 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 data 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 OEC’s data systems, ETL pipelines, and SQL queries.

In the case of data 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 machine learning fundamentals may also be assessed during this 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 programming and data analysis 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 data analyst role at OEC.

Quick Tips For OEC Data Analyst Interviews

• Understand OEC’s core responsibilities and products: Gather as much information as possible about the Service Bill of Material (SBOM) and familiarize yourself with the technical and commercial aspects of OEC's service parts programs.

• Brush up on your automotive industry knowledge: Given the role requires knowledge in automotive engineering and service strategy, review any relevant experience you possess and think about how it can be applied to OEC’s requirements.

• Hone your data skills and problem-solving abilities: Brush up on MS Office applications, especially Excel, and be prepared to demonstrate your skills in data analysis, reporting, and problem-solving during the interview.

Typically, interviews at Oeconnection (Oec) vary by role and team, but commonly Data 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: What's 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. You are given a target value to search. If the value is in the array, then 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 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 outputs the sample variance given a list of integers. Round the result to 2 decimal places. Example: Input: test_list = [6, 7, 3, 9, 10, 15] 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 list of sorted integers where more than 50% of the list is the same repeating integer, write a function to return the median value in O(1) computational time and space. Example: Input: li = [1,2,2] Output: median(li) -> 2

• What are the drawbacks and formatting changes needed for messy student test score data? You have data on student test scores in two different layouts. Identify the drawbacks of the current organization, suggest formatting changes for better analysis, and describe common problems in messy datasets. Example 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?

What is the average salary for a Data Analyst at Oeconnection (Oec)?

FAQ for Data Analyst Position at Oeconnection (OEC)

Q: What is OEC and what do they do? Since the year 2000, OEC has grown globally to more than 1,400 employees with a double-digit revenue increase nearly every year. They provide a lively culture, employee rewards and recognition, and the opportunity to develop and implement innovative technology solutions.

Q: What does the Data Analyst - Advanced Service Release position involve? The Data Analyst - Advanced Service Release is responsible for reviewing new/major European product programs, monitoring and assessing new vehicle program development. The core tasks include establishing a Service Bill of Material (SBOM), program planning of service parts, and supporting reporting processes and solutions.

Q: What are the primary duties of this role? - Develop the Service Bill of Material (SBOM) based on technical and commercial aspects. - Analyze global vehicle cycle plans regarding timing, content, and complexity. - Create a list of required spare parts and accessories for new programs. - Monitor Service Release Quality and propose corrective actions. - Review part designs for serviceability and repair efficiency. - Report results as appropriate. - Support reporting processes, methods, and solutions.

Q: What experience is required for the Data Analyst position? - Knowledge of Ford systems for data maintenance (service parts) - Minimum 1-year experience in the automotive industry - Knowledge of automotive engineering and general service strategy rules - Problem-solving and decision-making skills - Attention to details and quality - Experience using MS Office applications, especially Excel - Good communication skills

Q: How can I prepare for an interview at OEC? To prepare for an interview at OEC, research the company thoroughly, practice common interview questions using Interview Query, and review your technical skills. Be prepared to discuss your past experiences, especially those related to automotive engineering and data maintenance.

Since the year 2000, OEC has grown globally to more than 1,400 employees with a double-digit revenue increase nearly every year. At OEC, Data Analysts play a crucial role in reviewing new European product programs, developing the Service Bill of Material (SBOM), analyzing global vehicle cycle plans, and ensuring service release quality. This is an exciting opportunity to be part of a dynamic team where innovation, employee rewards, and development are at the forefront.

If you want more insights about the company, check out our main Oeconnection Interview Guide, where we have covered many interview questions that could be asked. 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 excel in your Data Analyst interview at OEC.

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!