Old National Bank, with roots dating back to 1834, is a premier financial institution dedicated to providing comprehensive banking solutions. As of 2023, it has grown significantly with a vast network of branches across multiple states and a strong focus on community development and customer satisfaction.

The Data Analyst position at Old National Bank plays a crucial role in supporting strategic decisions through detailed data analysis and interpretation. This role demands proficiency in handling large datasets, deriving meaningful insights, and ensuring data-driven approaches to enhance the bank's various financial services and operational efficiencies.

If you're aiming to become a Data Analyst at Old National Bank, this guide is your go-to resource. In it, we’ll delve into the interview process, commonly asked questions, and insights to help you ace the interview. Let's prepare for a journey towards joining this esteemed institution with Interview Query!

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Old National Bank as a data analyst. Whether you were contacted by an Old National Bank 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 Old National Bank's 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 Old National Bank 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 Old National Bank 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 the bank'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 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 Old National Bank 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 data analyst role at Old National Bank.

Quick Tips For Old National Bank Data Analyst Interviews

• Understand the Financial Sector: Old National Bank's data analyst role will likely involve questions and scenarios specific to the financial industry. Familiarize yourself with the latest trends and best practices within financial data analysis.
• Master Technical Skills: Brush up on SQL, Python, R, and data visualization tools. Practical experience with these tools will help you during technical assessments and make you stand out.
• Prepare Behavioral Answers: Old National Bank places a high emphasis on cultural fit. Be prepared to answer behavioral questions that demonstrate your problem-solving skills, teamwork, and alignment with the company's values.

Typically, interviews at Old National Bank vary by role and team, but commonly Data Analyst interviews follow a fairly standardized process across these question topics.

• 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?

• Write a function to find the maximum number in a list of integers. Given a list of integers, write a function that returns the maximum number in the list. If the list is empty, return None.

• Write a query to get the top 3 highest employee salaries by department. Given the employees and departments table, write a query to get the top 3 highest employee salaries by department. The output should include the full name of the employee, the department name, and the salary, sorted by department name in ascending order and salary in descending order.

• Write a function to combine sorted integer lists into one sorted list. Given a list of sorted integer lists, write a function sort_lists to create a combined list while maintaining sorted order without importing any libraries or using the 'sort' or 'sorted' functions in Python.

• Write a function to swap nodes in a singly linked list. Given the head of a singly linked list represented as a ListNode, and two zero-indexed positions x and y, write a function swap_node which swaps the positions of nodes x and y and returns the new head. Note that you cannot simply swap the values of these nodes; you must swap these using pointer manipulation.

• How would you investigate a decrease in credit card payment amounts per transaction? You work for a financial company and notice that the credit card payment amount per transaction has decreased. How would you investigate the cause of this change?

• How would you build a strategy to find the best small businesses to partner with? You are a credit card company looking to partner with more merchants. You have 100K small businesses to reach out to but can only contact 1000. How would you strategize to identify the best businesses to approach?

• What features would you include in a model to predict pizza order no-shows? Imagine you run a pizza franchise and face a problem with many no-shows after customers place their orders. What features would you include in a model to predict these no-shows?

• How does random forest generate the forest and why use it over logistic regression? Explain how random forest generates the forest. Additionally, why would we use random forest over other algorithms such as logistic regression?

• How would you build a fraud detection model with a text messaging service for a bank? You work at a bank that wants to build a model to detect fraud on the platform. The bank also wants to implement a text messaging service that will text customers when the model detects a fraudulent transaction, allowing the customer to approve or deny the transaction with a text response. How would you build this model?

• What is the relationship between PCA and K-means clustering? Explain the relationship between Principal Component Analysis (PCA) and K-means clustering.

What is the average salary for a Data Analyst at Old National Bank?

Q: What roles and responsibilities fall under the Data Analyst position at Old National Bank?
The Data Analyst at Old National Bank is responsible for collecting, processing, and analyzing data to support decision-making processes. This includes creating reports, identifying trends, and ensuring data accuracy. You will also collaborate with other departments to provide data-driven insights that drive strategic initiatives.

Q: What skills are essential for a Data Analyst position at Old National Bank?
To thrive as a Data Analyst at Old National Bank, you should have strong analytical skills, proficiency in SQL, Excel, and experience with data visualization tools like Tableau. Attention to detail, problem-solving abilities, and a strong understanding of industry trends are also critical.

Q: What can I expect from the interview process for the Data Analyst role at Old National Bank?
The interview process typically includes a phone screen with HR, a technical interview to assess your data analysis skills, and a final round of interviews with team members and management. Be prepared to discuss your previous experience, technical proficiency, and how you approach problem-solving.

Q: What is the company culture like at Old National Bank?
Old National Bank boasts a collaborative and supportive culture. The bank values employee growth, fostering a work environment where innovation and continuous improvement are encouraged. Employees appreciate the emphasis on work-life balance and community involvement.

Q: How can I best prepare for the Data Analyst interview at Old National Bank?
To ace your interview, familiarize yourself with the bank’s services, practice common data analysis questions, and review your technical skills. Utilize Interview Query to practice specific data problems and scenarios you might encounter during the interview. Highlight your ability to translate data insights into actionable recommendations.

If you want more insights about the company, check out our main Old National Bank 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 Old National Bank'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 Old National Bank data 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!