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<p>Let’s say we have a table with an <code>id</code> and <code>name</code> fields. The table holds over 100 million rows and we want to sample a random row in the table without throttling the database.</p>

<p>Write a query to randomly sample a row from this table.</p>

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

<p><code>big_table</code> table</p>

<table>
<thead>
<tr>
<th>Columns</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>


Write a query to randomly sample a row from a big table.

Random SQL Sample

<p>You are testing hundreds of hypotheses with many <em>t</em>-tests. What considerations should be made?</p>


<p>What is a key disadvantage of the F-test when compared to multiple t-tests?</p>

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

<p>Let’s say you work for a social media company that has just done a launch in a new city. Looking at weekly metrics, you see a slow decrease in the average number of comments per user from January to March in this city.</p>

<p>The company has been consistently growing new users in the city from January to March.</p>

<p>What are some reasons why the average number of comments per user would be decreasing and what metrics would you look into?</p>


<p>What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?</p>

What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?

Decreasing Comments

How would you investigate a decline in the average number of comments per user?

Flexshopper Salaries by Position

<p>Job Details Job Location Boca Raton - BOCA RATON, FL Position Type Full Time Description Company Overview: FlexShopper is the largest online lease-to-own marketplace stocked with an incredible selection of products from top brands. When people don't have the cash or credit available, FlexShopper provides the solution - affordable weekly payments so you can rent-to-own your products in 12 months or less. Overview: We're seeking an experienced Senior Data Engineer to join our revenue growth team. You will be leading development and optimization efforts for all marketing and revenue growth related data pipelines, which then need to be integrated into Looker Studio for advanced data visualization. Beyond technical prowess, your role also involves crafting actionable insights vital to steering our marketing and revenue growth strategies. Responsibilities: Design, develop, and maintain scalable data pipelines using Python / R and BigQuery Elevate workflow efficiency and reliability; ensure data validity, accuracy and integrity across the steps Craft sophisticated data augmentation processes tailored for complex analytics frameworks Integrate customer data platform with various marketing platforms to allow for the execution of omnichannel strategies Automate data flow across disparate data bases and marketing platforms to turbo charge marketing team's productivity Utilize Looker Studio to build compelling dashboards and reports; create and maintain a comprehensive alerting and anomaly detection framework to enable timely reaction from business users Transform complex data into actionable insights to improve the performance of marketing campaigns and revenue growth initiatives Collaborate closely with non-technical marketing roles to make sure data can be consumed and interpreted appropriately Qualifications Requirements: Bachelor's degree or higher in Computer Science, Data Science, or related field 5 years' experience in data engineering, focusing on pipeline development and optimization, data augmentation, and visualization Proficiency in SQL, Python or R Familiarity with GCP / BigQuery / Looker Studio Excellent communication skills for cross-functional collaboration Strong analytical and problem-solving skills Adaptability to evolving technologies, industry best practices, and advancements in GCP/Looker Studio Ability to work and communicate with both technical and non-technical team members Ability to thrive in a fast-paced environment that evaluates success based on both business impact and the volume/frequency of output Self-starter who is highly detail-oriented and an enthusiastic team player Ability to manage multiple projects at the same time and ensure timelines are met Knowledge in e-commerce, DTC marketing, customer segmentation and personalization a plus Experience with Twilio Segment and Google Analytics a plus If you're an experienced Data Engineer looking to make a tangible impact in a fast-paced tech company, this opportunity is tailor-made for you. Apply now and become an integral part of our journey, leveraging data to shape success in the dynamic landscape of marketing and revenue growth.</p>

Flexshopper Interview Questions

Flexshopper Interview Guides

Flexshopper Interview Questions

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