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

Rbc Business Intelligence Interview Guide

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


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

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

Overview

Rbc 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.

Rbc 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 the manager with the biggest team size.</p>

<p>You may assume there is only one manager with the largest team size.</p>

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

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

<p><code>employees</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>

<tr>
<td><code>manager_id</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
<p><code>managers</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>

<tr>
<td><code>team</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>manager</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>team_size</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>


Manager Team Sizes

<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

Rbc Business Intelligence Interview Questions

<b>Job Summary</b> <br><br><b>Job Description</b> <br><br><b>Senior Product Manager, RBC Capital Markets, LLC, Jersey City, NJ: </b> <br><br>Define and communicate product vision for overall Data Strategy in alignment with clients' needs and overall Capital Markets ("CM") goals. Collaborate with CM business stakeholders, Quantitative & Technology Services (QTS) IT teams and Enterprise teams to facilitate the broader adoption of the Data Strategy across Capital Markets. Create and maintain product roadmap for Data Hydration & Data Insights, outlining features and enhancements. Conduct market research to understand customer needs, market trends, competing products that can be leveraged to solve the Capital Markets business problems. Oversee entire product development life cycle, ensuring features are built and deployed in line with the client needs and that the overall product development is aligned with the organizations' strategy. Define key performance indicators and regularly analyze product performance to make data-driven decisions. Reviewing and finalizing Business requirements for Data Strategy from various streams within QTS and Enterprise. Create functional specifications and functional design documents aligned with the existing data lake architecture. <br><br>Full time employment, Monday - Friday, 40 hours per week, $136,845.80 per year. <br><br><b>MINIMUM REQUIREMENTS:</b> <br><br>Must have a Master's degree in Computer Science, Information Systems, or a related field, and 3 years of work experience. <br><br>Must have 3 years of experience in: <br><ul> <li>Creating and managing product roadmaps for data ingestion & transformation platforms outlining the platform's features and future direction within the financial industry; </li><li>Conducting market research to understand customer needs and market trends in order to solve Capital Markets business problems; </li><li>Overseeing entire product development life cycle, ensuring features are built and deployed in line with the client needs and that the overall product development is aligned with the <br>organizations' strategy; </li><li>Performing data analysis on trading data including trades, executions, and orders and running SQL queries to identify anomalies, establish linkages, and define transformation rules; </li><li>Identifying patterns and relationships between datasets in SQL, Spark SQL, Jupyter Notebook, and data visualization tools like Tableau; and, </li><li>Data manipulation, aggregation, and analysis using programming languages including Python. </li></ul>Must have 2 years of experience in: <ul> <li>Acting as a liaison between different teams including architecture, development, QA, UX designers and end clients; and, </li><li>Cloud technologies including Microsoft Azure. </li></ul> <br>Must have 1 year of experience in managing projects running in Cloud. <br><br>Travel: International travel required up to 10%. <br><br>The base salary for this job is $136,845.80 per year. This salary does not include other elements of total compensation, including a discretionary bonus and benefits such as a 401(k) program with company-matching contributions; health, dental, vision, life and disability insurance; and paid time-off plan. <br><br>RBC's compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that: <br>• Drives RBC's high performance culture <br>• Enables collective achievement of our strategic goals <br>• Generates sustainable shareholder returns and above market shareholder value <br><br><b>TO APPLY: Please click "Apply Now" Button</b> <br><br><b>Job Skills</b> <br>Active Learning, Adaptability, Communication, Computer Literacy, Interpersonal Relationships, Listening Effectively, Operational Delivery, Personal Development, Taking Initiative, Teamwork <br><br><b>Additional Job Details</b> <br><br><b>Address:</b> <br><br>GOLDMAN SACHS TOWER, 30 HUDSON STREET:JERSEY CITY <br><br><b>City:</b> <br><br>Jersey City <br><br><b>Country:</b> <br><br>United States of America <br><br><b>Work hours/week:</b> <br><br>40 <br><br><b>Employment Type:</b> <br><br>Full time <br><br><b>Platform:</b> <br><br>CAPITAL MARKETS <br><br><b>Job Type:</b> <br><br>Regular <br><br><b>Pay Type:</b> <br><br>Salaried <br><br><b>Posted Date:</b> <br><br>2024-08-02 <br><br><b>Application Deadline:</b> <br><br><b>I</b><b><b>nclusion</b> and Equal Opportunity Employment</b> <br><br>At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities. <br><br>We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process. <br><br><b>Join our Talent Community</b> <br><br>Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. <br><br>Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

Rbc Business Intelligence Interview Guide

Overview

Rbc Business Intelligence Salary

Rbc Business Intelligence Interview Process

Rbc Business Intelligence Interview Questions

Rbc Business Intelligence Jobs