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

Howmet Aerospace Business Intelligence Interview Guide

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


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

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

Overview

Howmet Aerospace 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.

Howmet Aerospace 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>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

<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

Howmet Aerospace Business Intelligence Interview Questions

<strong>Responsibilities</strong> <br><br>Howmet Aerospace is hiring a Machine Learning Engineer for our Research and Development group. This position involves working in a close cross-functional team environment supporting Howmet's casting, alloy, core, and rings facilities. <br> <br>Primary Responsibilities: <br><ul> <li>Evaluating, developing, and testing Artificial Intelligence / Machine Learning applications and solutions. </li><li>Developing and optimizing machine learning algorithms for Howmet products across all businesses. </li><li>Constructing and manipulating large datasets using tools such as Python, R, SAS, SQL, Minitab, PowerBI and more, to extract multi-factor and complex interactions to drive improvements in manufacturing. </li><li>Solving operational, quality, and engineering problems using big data and image sets. </li><li>Identifying opportunities and deploying tools to drive continuous improvement using machine learning. </li><li>Driving a data-driven culture across the organization through expanding applications and training. </li> <li>Interacting with internal customers to drive validation trials, implement process improvements, and integrate machine learning into current production. </li></ul><strong>Qualifications</strong> <br><br>Minimum Qualifications: <ul> <li>A MS or PhD Degree from an accredited university in Data Science, Computer Science, Computer Engineering, Mathematics, Statistics, Analytics, or related. </li><li>Minimum of 2 years of experience in advanced data science or machine learning required. </li><li>Demonstrated success applying advanced statistical methods and machine learning algorithms to production/field data using Python or R. </li><li>Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position. </li></ul>Preferred Qualifications: <ul> <li>5+ years of professional data science or machine learning experience. </li><li>Manufacturing / industrial plant experience </li> <li>Experience in applying advanced data and statistical analysis methods to industrial manufacturing data. </li><li>Visualization tools: Power BI, Tableau </li><li>Engineering data tools: SQL, SAS, Minitab, JMP, MS Excel, Six Sigma </li><li>In depth knowledge of advanced analytic and machine learning techniques. </li><li>Strong verbal and written communication skills. Excellent analytical skills. </li><li>Ability to work in a self-directed AND cross-functional team environment. </li><li>Strong organizational skills. </li></ul><br><br><strong>About Us</strong> <br><br><b>About Howmet Aerospace</b> <br><br>Howmet Aerospace Inc. (NYSE: HWM), headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. Our primary businesses focus on jet engine components, aerospace fastening systems, titanium structural parts and forged wheels. With $6.6 billion in revenue in 2023, our products play a crucial role in enabling fuel efficiency and lightweighting, contributing to our customers' success and making a positive impact on the world. To learn more about the way Howmet Aerospace Inc. is advancing the sustainability of our customers, markets, and communities where we operate, review the 2023 Environmental Social and Governance report at www.howmet.com/esg-report. <br><br>Follow: LinkedIn, Twitter, Instagram, Facebook, and YouTube. <br><br>Howmet is proud to be an Equal Employment Opportunity and Affirmative Action employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. <br><br>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other applicable legally protected characteristics. <br><br>If you need assistance to complete your application due to a disability, please email TalentAcquisitionCoE_Howmet@howmet.com <br><br><strong>About the Team</strong> <br><br>The Howmet engines business produces world-class aerospace engine components, including investment castings, fasteners, rings and forgings. Our vacuum melted superalloys, machining, performance coatings and hot isostatic pressing for high performance parts enable the next generation of quieter, cleaner and more fuel-efficient aerospace engines. Able to supply more than 90% of structural and rotating aerospace engine components.

Howmet Aerospace Business Intelligence Interview Guide

Overview

Howmet Aerospace Business Intelligence Salary

Howmet Aerospace Business Intelligence Interview Process

Howmet Aerospace Business Intelligence Interview Questions

Howmet Aerospace Business Intelligence Jobs