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

Vectra Business Intelligence Interview Guide

<p>Getting ready for an Business Intelligence interview at Vectra? The Vectra 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 Vectra Business Intelligence roles.</li>
<li>Gain insights into the Business Intelligence interview process at Vectra.</li>
<li>Practice real Vectra 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 Vectra Business Intelligence interview.</p>


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

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

Overview

Vectra 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.

Vectra 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>Write a query to identify customers who placed more than three transactions each in both 2019 and 2020.</p>

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

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

<p><code>transactions</code> table</p>

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

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

<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>product_id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>quantity</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
<p><code>users</code> table</p>

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

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

<tr>
<td><code>name</code></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><code>customer_name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>


<p>Which of the following queries will return a list of customers and the total amount they have spent on orders?</p>


Which of the following queries will return a list of customers and the total amount they have spent on orders?

Customer Orders

<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

Vectra Business Intelligence Interview Questions

Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises.<br><br>The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai. <br><br><strong>Position Overview</strong><br><br>Be on the leading edge of applying machine learning and data modeling to the world of advanced cyber security. As part of the Data Science team you will directly impact the product by modeling complex problems and developing production software. You will develop these models and algorithms in collaboration with Security Researchers, who are experts in cyber security attack techniques. This work provides the core detection capability for our customers.<br><strong>Responsibilities</strong><br><ul><li>Leverage large datasets to develop machine-learning and statistical models that can differentiate between normal and attack behavior.</li><li>Own the prototyping, development, and testing of complex detection algorithms that implement these models and provide customers with real-time visibility.</li><li>Analyze detection algorithm performance and present key findings to business leaders.</li><li>Collaborate with Security Research, Data Engineering, and Software Engineering teammates.</li></ul><strong>Required Experience</strong><br><ul><li>MS + 2 years of Data Science experience or PhD in Computer Science, Mathematics, Physics or related discipline (or equivalent experience)</li><li>Hands-on experience with machine-learning and statistical techniques</li><li>Strong experience with Python and object-oriented programming</li><li>Ability to work with datasets using SQL or other libraries (pandas, numpy, etc.)</li><li>Familiarity with data structures and algorithms</li><li>Linux and Git proficiency</li></ul><strong>Desirable Qualifications</strong><br><ul><li>Familiarity with Spark, Flink, or other distributed computing systems</li><li>Experience with cloud computing platforms (AWS, Azure, GCP, etc.)</li><li>Database experience (SQL or NoSQL variants)</li><li>Experience working in a software development team</li><li>Programming experience in C++, Scala/Java, Go, or other languages</li></ul><br><br>Our competitive total rewards package includes cash compensation within the range provided below. Actual pay for this position may vary based on the hired candidate's location, experience and relevant incumbent pay position. <br><br>Vectra Total Rewards<br><br>$140,000-$180,000 USD<br><br>Vectra provides a comprehensive total rewards package that supports the financial, physical, mental and overall health of our employees and their families. Compensation includes competitive base pay, incentive plan eligibility, and participation in the employee equity plan (stock options). Specific benefits offered varies by location, but commonly include health care insurance, income protection / life insurance, access to retirement savings plans, behavioral & emotional wellness services, generous time away from work, and a comprehensive employee recognition program. <br><br>Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer. <br><br>We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises.<br><br>The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai. <br><br>We're looking for a Product Manager to drive Vectra's AI Prioritization and Third Party Signal solutions which are essential to our customer success. In this position, you will be responsible for the product vision, strategy, execution, along with working with a wide variety of partners in Data Science, Security Research and Engineering. We are interested in candidates with technical Product Management experience, as well as candidates who have hands on experience deploying and handling security solutions in customer environments or have security research experience.<br><br><strong>Responsibilities </strong><br><ul><li>Build product strategy, vision, and execution of the roadmap.</li><li>Identify and prioritize product requirements based on strategic direction, customer requirements, and analytical data </li><li>Manage product backlog and work closely with Data Science, Security Research, Engineering, and User Experience </li><li>Collaborate with Product Management peers in support of cross-functional solutions</li><li>Engage with Vectra Customers and Prospects to provide Vectra vision and strategy; collect feedback and requirements</li></ul><br><strong>Requirements </strong><br><ul><li>2+ years of enterprise product management experience OR 2+ years of relevant Security Research, or other relevant Security Operations roles</li><li>2+ years of experience building, managing, or implementing network security solutions.</li><li>Strong analytical and problem-solving skills with ability to drive multiple projects in parallel </li><li>Demonstrated ability to work cross-functionally and across geographies with multiple collaborators </li><li>Knowledge of network-based threat detection techniques </li><li>A working understanding of the modern network security landscape</li></ul><br><br>Our competitive total rewards package includes cash compensation within the range provided below. Actual pay for this position may vary based on the hired candidate's location, experience and relevant incumbent pay position. <br><br>Vectra Total Rewards<br><br>$86,000-$135,000 USD<br><br>Vectra provides a comprehensive total rewards package that supports the financial, physical, mental and overall health of our employees and their families. Compensation includes competitive base pay, incentive plan eligibility, and participation in the employee equity plan (stock options). Specific benefits offered varies by location, but commonly include health care insurance, income protection / life insurance, access to retirement savings plans, behavioral & emotional wellness services, generous time away from work, and a comprehensive employee recognition program. <br><br>Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer. <br><br>We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Vectra Business Intelligence Interview Guide

Overview

Vectra Business Intelligence Salary

Vectra Business Intelligence Interview Process

Vectra Business Intelligence Interview Questions

Vectra Business Intelligence Jobs