The Enova Business Intelligence interview guide, interview questions, salary data, and interview experiences.

Enova Business Intelligence Interview Guide

<p>Getting ready for an Business Intelligence interview at Enova? The Enova Business Intelligence interview span across 10 to 12 different question topics. In preparing for the interview:</p>
<ul>
<li>Know what skills are necessary for Enova Business Intelligence roles.</li>
<li>Gain insights into the Business Intelligence interview process at Enova.</li>
<li>Practice real Enova Business Intelligence interview questions.</li>
</ul>
<p>Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Enova Business Intelligence interview.</p>


Getting ready for an Business Intelligence interview at Enova? The Enova Business Intelligence interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Enova Business Intelligence roles.
- Gain insights into the Business Intelligence interview process at Enova.
- Practice real Enova Business Intelligence interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Enova Business Intelligence interview.
        

Overview

Enova Business Intelligence Salary

<p>We've gathered this data from parsing thousands of interview experiences sourced from members.</p>

We've gathered this data from parsing thousands of interview experiences sourced from members.

Enova Business Intelligence Interview Process

<p>We’re given a table of bank transactions with three columns, <code>user_id</code>, a deposit or withdrawal value (determined if the value is positive or negative), and <code>created_at</code> time for each transaction.</p>

<p>Write a query to get the total three-day rolling average for deposits by day.</p>

<p><em>Note: Please use the format <code>&#39;%Y-%m-%d&#39;</code> for the date in the outout</em></p>

<p><strong>Example:</strong></p>

<p><strong>Input:</strong></p>

<p><code>bank_transactions</code> table</p>

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>user_id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>created_at</code></td>
<td>DATETIME</td>
</tr>

<tr>
<td><code>transaction_value</code></td>
<td>FLOAT</td>
</tr>
</tbody>
</table>
<p><strong>Output:</strong></p>

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>dt</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>rolling_three_day</code></td>
<td>FLOAT</td>
</tr>
</tbody>
</table>


Rolling Bank Transactions

<p>What are the logistic and softmax functions? What is the difference between the two?</p>

<p>What makes them useful for use in logistic regression?</p>


<p>In logistic regression, how is the predicted class determined based on the logistic function?</p>


In logistic regression, how is the predicted class determined based on the logistic function?

Softmax vs Logistic II

<p>What is the key characteristic of the logistic function that makes it useful for mapping continuous values to a probability?</p>


What is the key characteristic of the logistic function that makes it useful for mapping continuous values to a probability?

Softmax vs Logistic I

What are the logistic and softmax functions? What is the difference between the two?

Softmax vs Logistic

<p>Let’s say you’re working for a social media company trying to grow your user base. You know that people tend to use the same social network as their peers, so you want to target all your growth and marketing efforts on specific age groups so as to take advantage of network effects.</p>

<p>You wish to begin with the age group that is currently generating the most connections (fastest growing).</p>

<p>Write a SQL query to find the average number of accepted friend requests for each age group and order the results in descending order.</p>

<p><em>Note: The average number of accepted friend requests is calculated as the total number of friend requests sent by an age group that was accepted divided by the number of members in said age group.</em></p>

<p><em>We can assume the tables hold valid data in that there are no duplicate friend requests, friend requests are only accepted once, and user A can only accept a friend request from User B after B sends A a friend request.</em></p>

<p><em>The result should be rounded to two decimal places.</em></p>

<h3>Example:</h3>

<p><strong>Input:</strong></p>

<p><strong><code>friend_requests</code></strong></p>

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>requester_id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>receiver_id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>sent_at</td>
<td>DATETIME</td>
</tr>
</tbody>
</table>
<p><strong><code>requests_accepted</code></strong></p>

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>accepter_id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>requester_id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>accepted_at</td>
<td>DATETIME</td>
</tr>
</tbody>
</table>
<p><strong><code>age_groups</code></strong></p>

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>user_id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>age_group</td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
<p><strong>Output:</strong></p>

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>age_group</td>
<td>VARCHAR</td>
</tr>

<tr>
<td>average_acceptance</td>
<td>FLOAT</td>
</tr>
</tbody>
</table>


Find the average number of accepted friend requests for each age group that sent the requests.

Avg Friend Requests By Age Group

Enova Business Intelligence Interview Questions

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time.
About the role:
As an Analyst or Data Scientist, you will be one of Enova's most valuable team members. You will develop, enhance and test our models for use in determining the appropriate lending criteria and verification procedures. At times, you may be asked to conduct ad hoc analysis using statistical and financial tools to recommend for risk management, marketing and operational strategies. You will demonstrate the ability to interpret and organize data, and communicate it effectively to cross functional teams to solve business problems, provide requirements and support implementation.
Enova's Analytics team consists of over 100 quantitative professionals dedicated to using the latest cutting-edge techniques to drive business value. We are a shared service for the entire company and operate in four core Analytics workgroups. We are language agnostic, but primarily use Python, R, SQL, SAS and Mathematica. That means YOU get to pick the tool that works best for you and the analysis at hand. At Enova we have a company-wide culture that emphasizes data-driven analysis. That means you spend less time presenting and more time with the fun part, crunching data!
Requirements:
3+ years of experience in Analytics or related field
Advanced programming skills and the ability to write customized programs for meaningful data analysis (Python, R)
Experience working with relational databases, such as SQL
Knowledge of statistical/econometric modeling
A Bachelor's degree in a quantitative field or equivalent experience
About Enova
Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions.
Being a values-driven organization is at the core of Enova’s success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive.

#J-18808-Ljbffr

<p><em>We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time. </em> </p><p><strong>About the role: </strong> </p><p>As an Analyst or Data Scientist, you will be one of Enova's most valuable team members. You will develop, enhance and test our models for use in determining the appropriate lending criteria and verification procedures. At times, you may be asked to conduct ad hoc analysis using statistical and financial tools to recommend for risk management, marketing and operational strategies. You will demonstrate the ability to interpret and organize data, and communicate it effectively to cross functional teams to solve business problems, provide requirements and support implementation. </p><p>Enova's Analytics team consists of over 100 quantitative professionals dedicated to using the latest cutting-edge techniques to drive business value. We are a shared service for the entire company and operate in four core Analytics workgroups. We are language agnostic, but primarily use Python, R, SQL, SAS and Mathematica. That means YOU get to pick the tool that works best for you and the analysis at hand. At Enova we have a company-wide culture that emphasizes data-driven analysis. That means you spend less time presenting and more time with the fun part, crunching data! </p><p><strong>Requirements: </strong> </p><ul><li>3+ years of experience in Analytics or related field </li><li>Advanced programming skills and the ability to write customized programs for meaningful data analysis (Python, R) </li><li>Experience working with relational databases, such as SQL </li><li>Knowledge of statistical/econometric modeling </li><li>A Bachelor's degree in a quantitative field or equivalent experience </li> </ul><p><strong>About Enova </strong> </p><p>Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions. </p><p>Being a values-driven organization is at the core of Enova’s success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive. </p>#J-18808-Ljbffr

<p>We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time. <br><br><strong>About the role:</strong> <br><br>As an Analyst or Data Scientist, you will be one of Enova's most valuable team members. You will develop, enhance and test our models for use in determining the appropriate lending criteria and verification procedures. At times, you may be asked to conduct ad hoc analysis using statistical and financial tools to recommend for risk management, marketing and operational strategies. You will demonstrate the ability to interpret and organize data, and communicate it effectively to cross functional teams to solve business problems, provide requirements and support implementation. <br><br>Enova's Analytics team consists of over 100 quantitative professionals dedicated to using the latest cutting-edge techniques to drive business value. We are a shared service for the entire company and operate in four core Analytics workgroups. We are language agnostic, but primarily use Python, R, SQL, SAS and Mathematica. That means YOU get to pick the tool that works best for you and the analysis at hand. At Enova we have a company-wide culture that emphasizes data-driven analysis. That means you spend less time presenting and more time with the fun part, crunching data! <br><br><strong>Requirements:</strong> <br></p><ul> <li>3+ years of experience in Analytics or related field </li><li>Advanced programming skills and the ability to write customized programs for meaningful data analysis (Python, R) </li><li>Experience working with relational databases, such as SQL </li><li>Knowledge of statistical/econometric modeling </li><li>A Bachelor's degree in a quantitative field or equivalent experience </li></ul><strong>#BI-Hybrid #LI-Hybrid</strong><br><br><strong>Benefits & Perks:</strong> <ul> <li>Hybrid roles entail working in-office from Tuesday to Thursday, with the choice to work remotely on Mondays and Fridays </li><li>Health, dental, and vision insurance including mental health benefits </li><li>401(k) matching plus a roth option (U.S. Based employees only) </li><li>PTO & paid holidays off </li><li>Sabbatical program (for eligible roles) </li><li>Summer hours (for eligible roles) </li><li>Paid parental leave </li><li>DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova) </li><li>Employee recognition and rewards program </li><li>Charitable matching and a paid volunteer day...Plus so much more! </li></ul> <br><strong>About Enova</strong> <br><br>Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks-in order to create accessible credit for millions. <br> <br>Being a values-driven organization is at the core of Enova's success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive. You can learn more about Enova's values and culture here. <br> <br>It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.

About Enova  Enova is a leading provider of online financial services that leverages its advanced technology and analytics to provide access to credit for non-prime consumers and small businesses.
Our roots are in Chicago, but we have served nearly 7 million customers through our US and international businesses. We pride ourselves on hiring smart and driven people who bring new and innovative ideas to the table.
Our philosophy is:
"Life’s short. Work someplace awesome."
Ready to join us?

#J-18808-Ljbffr

Enova Business Intelligence Interview Guide

Overview

Enova Business Intelligence Salary

Enova Business Intelligence Interview Process

Enova Business Intelligence Interview Questions

Enova Business Intelligence Jobs