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

Calpine Business Intelligence Interview Guide

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


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

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

Overview

Calpine 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.

Calpine 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

Calpine Business Intelligence Interview Questions

<p><p>Description</p><br><p>Calpine Corporation is America's largest generator of electricity from natural gas and geothermal resources with operations in competitive power markets. Its fleet of 77 power plants in operation represents over 27,000 megawatts of generation capacity. Through wholesale power operations and its retail businesses, Calpine serves customers in 22 states and Canada. Its clean, efficient, modern and flexible fleet uses advanced technologies to generate power in a low-carbon and environmentally responsible manner.</p><br><p>The company was established on the premise that a strong commitment to the environment is inextricably linked to excellence in power generation and corporate responsibility. Since its founding in 1984, Calpine has led the power industry in its unwavering commitment to environmental stewardship. In addition, its renewable geothermal plants use steam generated deep below the earth's surface to produce clean, renewable electricity.</p><br><p>Job Summary (includes but is not limited to the following, other duties may be assigned)</p><br><p>We are looking for a highly motivated Data Engineer Intern to join our team and assist in building and maintaining data solutions using Microsoft technologies. As an intern, you will work closely with senior data engineers to learn the best practices for data integration, ETL processes, and database management. This is a great opportunity to gain hands-on experience with the Microsoft data ecosystem, including Azure, SQL Server, and Power BI. </p><br><p>Job Responsibilities</p><br><p>+ Assist in the design, development, and maintenance of data pipelines using Microsoft Azure Data Factory, SQL Server, and other Microsoft tools.</p><br><p>+ Support the integration of data from multiple sources (structured and unstructured) into data warehouses and other storage solutions.</p><br><p>+ Work with senior data engineers to create, optimize, and maintain ETL processes.</p><br><p>+ Help in building and managing data models for reporting and analytics.</p><br><p>+ Collaborate with cross-functional teams to understand business data requirements and provide appropriate data solutions.</p><br><p>+ Assist in troubleshooting and resolving data-related issues and performance bottlenecks.</p><br><p>+ Document processes, workflows, and data models to support knowledge sharing and future reference.</p><br><p>+ Stay updated on the latest trends and best practices in data engineering and Microsoft technologies.</p><br><p>Job Requirements</p><br><p>+ Currently enrolled at an accredited college or university, working towards Bachelor Degree in Computer Science, preferred.</p><br><p>+ Rising Junior or Senior, completion of at least 30 hours.</p><br><p>+ Minimum GPA 3.0  </p><br><p>+ Legally eligible to work in the United States now and in the future for any company.</p><br><p>+ Excellent communication, problem solving, and analytical skills</p><br><p>+ Must be flexible and able to work harmoniously with others</p><br><p>+ Good organization skills and attention to details are essential</p><br><p>+ Strong foundational knowledge in object-oriented programming, data structures, and algorithms</p><br><p>+ Experience with Scripts, Powershell, Batch, VB, and Java</p><br><p>+ Good to have not required: Familiarity with UI, SQL, HTML, and CSS</p><br><p>+ Good to have not required: PowerBi and ServiceNow experience</p><br><p>+ Good to have not required: Microsoft SQL Server BI Stack, SSRS, TSQL, Power Query, MDX, PowerBI, and DAX</p><br><p>Preferred Qualifications</p><br><p>+ Familiarity with cloud-based data solutions, especially Microsoft Azure / Fabrics (Azure Data Factory, Azure SQL, etc.), is a plus.</p><br><p>+ Experience with or knowledge of ETL processes, data warehousing, or data modeling.</p><br><p>+ Exposure to programming or scripting languages like Python, PowerShell, or .NET.</p><br><p>Additional Calpine Information</p><br><p>+ Equal Opportunity Employer of Minorities, Females, Protected Veterans, and Individuals with Disabilities.</p><br><p>+ Calpine is committed to Equal Employment Opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment and need special assistance or an accommodation to use our website or to apply for a position, please send an e-mail with your request to hrrecruitment@calpine.com. Determination on requests for reasonable accommodation are made on case-by-case basis.</p><br><p>Please view Equal Employment Opportunity Posters provided by OFCCP here (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) </p><br><p>Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities</p><br><p>The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractors legal duty to furnish information. 41 CFR 60-1.35(c) </p><br></p>

Calpine Business Intelligence Interview Guide

Overview

Calpine Business Intelligence Salary

Calpine Business Intelligence Interview Process

Calpine Business Intelligence Interview Questions

Calpine Business Intelligence Jobs