Prepare for and practice interview questions from Commerce Bank.

Commerce Bank Interview Questions

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

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<p>Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.</p>

<p>What factors could have biased this result, and what would you look into?</p>


<p>What could potentially bias the average boarding time in favor of an airline that only flies domestically?</p>

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

<p>You are testing hundreds of hypotheses with many <em>t</em>-tests. What considerations should be made?</p>


<p>What is a key disadvantage of the F-test when compared to multiple t-tests?</p>

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

<p>In an A/B test, how can you check if assignment to the various buckets was truly random?</p>


<p>In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?</p>

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

Random Bucketing

A/B Testing & Experimentation

<div><h2>Sales Enablement Data Analyst</h2><p>The Sales Enablement Data Analyst is part of a team that is responsible for helping target and progress prospecting efforts by developing and executing campaigns and reporting. The Data Analyst supports the Sales Enablement Team by developing, vetting and producing a lead/contact campaign list, (with an 80-90% level of accuracy) that meets the request of the Commercial Payments sales team within Insight360 (Salesforce).</p><h3>Essential Functions</h3><ul><li>Support team members by following the lead generation work flow to identify net new leads/prospects, including detailed contact information utilizing; Data.com, ZoomInfo, Insight360, Definitive Healthcare, and LinkedIn</li><li>Produce and import lists and follow-up campaign activities into Insight360</li><li>Upload targeted lists to campaigns for return on investment tracking</li><li>Build reports to monitor sales movement for campaign initiatives and track return on investments, while identifying ways to help improve the process</li><li>Work with team members to identify, organize, and focus prospecting efforts on medium priority prospects within Insight360</li><li>Support team members with the primary goal of building brand awareness, nurturing current relationships for cross-selling opportunities, and growing sales with net new accounts and markets. Accounts and markets will be defined by leadership.</li><li>Perform other duties as assigned</li></ul><h3>Knowledge, Skills & Abilities Required</h3><ul><li>Experience with Salesforce.com or another sales focused client relationship management software</li><li>Strong technical analysis skills</li><li>Motivated and organized self-starter with strong attention to detail and the ability to manage multiple priorities</li><li>Inquisitive, agile and strong team player with excellent written, verbal and interpersonal communication skills</li><li>Ability to remain adaptable and resilient to all situations with an optimistic outlook and cast a positive shadow that is aligned with our culture and Core Values</li><li>Intermediate level proficiency with Microsoft Word, Excel, Teams and Outlook</li></ul><h3>Education & Experience</h3><ul><li>Bachelor's degree in business, finance, computer science or related or equivalent combination of education and experience required</li><li>1+ years related campaign experience required</li></ul></div>

Question	Topic	Difficulty	Ask Chance
Boarding Times Bias	Statistics	Medium	Very High
Hundreds of Hypotheses	Statistics	Medium	Very High
Random Bucketing	A/B Testing & Experimentation	Medium	Very High

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