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

HelloFresh Business Intelligence Interview Guide

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


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

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

Overview

HelloFresh 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.

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

HelloFresh 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

HelloFresh Business Intelligence Interview Questions

We're hiring a Senior Data Analyst to join our Advanced Analytics team, focusing on sustainability data pipelines. Tapping into your analytical prowess, you will play a critical role in evolving HelloFresh's sustainability strategy through data. The ideal candidate has a passion for data management and storytelling, and thrives in an environment that is both fast-paced and collaborative. The Analyst will report into the Associate Director of Advanced Analytics, and will dotted-line report into the Senior Manager on our Sustainability team.<br><br><strong>Job Description:</strong><br><strong><strong>You will ...</strong></strong><br><ul><li>Support ongoing data pipeline development for Environmental, Social, and Governance KPIs like carbon footprint, packaging composition, and worker Health & Safety, pulling from various sources like utility websites, accounting data (invoices, etc.), data warehouse tables, Tableau, etc.</li><li>Drive data tool updates using gSheets, Tableau, SQL, and other advanced analytics tools</li><li>Perform data analysis on KPI trends and effectiveness of spend on support services</li><li>Prepare quarterly data submission for internal US and Global reporting</li><li>Support process improvement tracking for Sustainability KPIs, such as food waste diversion from landfill and carbon emissions reductions</li></ul><br><strong>You are...</strong><br><ul><li>An owner - You are super reliable and thoughtful in managing your responsibilities, you care about the outcome and quality of your work, and you earn the trust of your colleagues.</li><li>Intellectually curious - You love to understand why things are the way they are, how things work, and to challenge the status quo.</li><li>Results-oriented - You love transforming data into meaningful outcomes.</li><li>Gritty - When you encounter obstacles, you find solutions, not excuses.</li><li>A team player - You favor team victories over individual success.</li><li>Resourceful - You thrive in fast-paced and dynamic environments and look to work smarter, not harder.</li><li>A critical thinker - You use logic to identify opportunities, to diagnose issues, to evaluate alternatives, and to synthesize and present critical information to solve complex problems.</li></ul><strong><strong>At a minimum, you have...</strong></strong><br><ul><li>Bachelor's degree in Business Analytics, Supply Chain, Sustainability, or Other</li><li>2-3 years of experience in a corporate environment; exposure to eCommerce and manufacturing preferred</li><li>Proven experience in data analysis, including hands-on experience with SQL, ETL and python. Familiarity with data visualization tools (e.g., Tableau, Looker, Power BI) is a plus.</li><li>Masters in Data Analytics related program preferred</li><li>Fundamental understanding of data workflow building in Alteryx, KNIME, and Domo is a plus</li><li>Experience working across various teams and stakeholders. </li><li>Strong communication and presentation skills, written, visual & verbal</li></ul><br><strong>You'll get...</strong><br><ul><li>Competitive Salary & 401k company match that vests immediately upon participation</li><li>Generous parental leave of 16 weeks & PTO policy</li><li>$0 monthly premium and other flexible health plans effective first day of employment</li><li>75% discount on your subscription to HelloFresh (as well as other product initiatives) </li><li>Snacks, cold brew on tap & monthly catered lunches</li><li>Company sponsored outings & Employee Resource Groups</li><li>Collaborative, dynamic work environment within a fast-paced, mission-driven company </li></ul><br><br>This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors.<br><br>CO Application Deadline of 10/31/24<br><br>New York Pay Range<br><br>$82,500-$110,000 USD<br><br>Colorado Pay Range<br><br>$75,000-$100,000 USD

HelloFresh Business Intelligence Interview Guide

Overview

HelloFresh Business Intelligence Salary

HelloFresh Business Intelligence Interview Process

HelloFresh Business Intelligence Interview Questions

HelloFresh Business Intelligence Jobs