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

Outreach Business Intelligence Interview Guide

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


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

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

Overview

Outreach 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.

Outreach 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>You’ve been asked to analyze the player’s behaviors at a gaming company.</p>

<p>Write a query to get the number of players who played between 5 and 10 games (5 and 10 excluded), and the number of players who played 10 games or more.</p>

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

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

<p><strong><code>players</code></strong> table</p>

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>name</td>
<td>VARCHAR</td>
</tr>

<tr>
<td>games_played</td>
<td>INTEGER</td>
</tr>

<tr>
<td>registered_at</td>
<td>TIMESTAMP</td>
</tr>
</tbody>
</table>
<p><strong>Output:</strong></p>

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>players_more_than_5_to_10_games</td>
<td>INTEGER</td>
</tr>

<tr>
<td>players_10_plus_games</td>
<td>INTEGER</td>
</tr>
</tbody>
</table>


Obtain count of players based on games played.

Player Analysis

<p>What are the logistic and softmax functions? What is the difference between the two?</p>

<p>What makes them useful for use in logistic regression?</p>


<p>In logistic regression, how is the predicted class determined based on the logistic function?</p>


In logistic regression, how is the predicted class determined based on the logistic function?

Softmax vs Logistic II

<p>What is the key characteristic of the logistic function that makes it useful for mapping continuous values to a probability?</p>


What is the key characteristic of the logistic function that makes it useful for mapping continuous values to a probability?

Softmax vs Logistic I

What are the logistic and softmax functions? What is the difference between the two?

Softmax vs Logistic

Outreach Business Intelligence Interview Questions

<p><span>Outreach is the first and only AI Sales Execution Platform built for intelligent revenue workflows. Built on the world’s largest foundation of customer interactions and go-to-market team data, Outreach’s leading revenue AI technology helps go-to-market professionals and their companies win by intelligently accelerating decision-making and elevating sellers to do their best work. Our powerful platform gives revenue teams the tools they need to design, measure, and improve a revenue strategy for every stage of the customer journey, improving efficiency and effectiveness across the entire revenue cycle. Over 6,000 customers, including Zoom, McKesson, Snowflake, SAP, and Okta use Outreach to power workflows, put customers at the center of their business, improve revenue results, and win in the market.</span></p><p><span>The Role</span></p><p><span>Data is at the core of Outreach's strategy. It drives our customers and ourselves to the highest levels of success. We use it for everything from customer health scores and revenue dashboards to operational metrics of our AWS infrastructure, to helping increase product engagement, to predictive analytics and causal inference via experimentation. As our customer base continues to grow, we are looking towards new ways of leveraging our data to save our customers time and improve their sales efficiency.</span></p><p><span>About the Team</span></p><p><span>The mission of the Data Platform team is to accelerate the success of our internal and external customers through trustworthy data analysis and experimentation. We eliminate data silos and democratize data through effective data ingestion, curation, governance, and serving. As a Senior Staff Software Engineer, you will play a critical role in building and maintaining our data platform. You will be responsible for defining our strategy, delivering data-driven functionality, and shipping end-user features. You will work alongside a talented team of software engineers, data scientists, and product managers to transform the way our customers do business.</span></p><br/><b>Your Daily Adventures Will Include</b><ul><li>Design and implement our cutting-edge data platform, harnessing state-of-the-art technologies and innovative best practices to deliver unparalleled performance, scalability, and reliability, effectively propelling our data capabilities to new heights.</li><li>Build sophisticated data pipelines that power our data analytics, GenAI, machine learning, and business intelligence applications, enabling our customers to make data-driven decisions.</li><li>Implement robust data security and privacy measures, ensuring that our sensitive data is protected from unauthorized access and breaches.</li><li>Implement systems tracking and monitoring data integrity, data quality, and consistency.</li><li>Collaborate closely with other engineering teams to seamlessly integrate our data platform components into our software applications, creating a seamless user experience.</li><li>Develop framework & tools to support self-service data pipeline management.</li><li>Mentor and train junior data engineers, sharing your knowledge and expertise to help grow the team.</li></ul><b>Basic Qualifications</b><ul><li>Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.</li><li>At least 8 years of experience in software engineering and data engineering, with a focus on designing and building data platforms.</li><li>Strong experience with data processing frameworks, such as Spark or Hadoop.</li><li>Strong programming skills in Python, Ruby, or Go.</li><li>Strong experience with cloud-based data platforms, such as AWS or GCP.</li><li>Experience with data modeling, data warehousing, and ETL processes.</li><li>Experience with modern Lakehouse table formats; such as Delta Lake, Apache Iceberg, Apache Hudi.</li><li>Good understanding of SQL languages(s) and ability to conduct advanced performance tuning.</li><li>Experience with infrastructure management, such as Kubernetes and Terraform.</li><li>Experience with workflow management tools.</li><li>Experience with data security and privacy measures.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Strong communication skills and ability to work effectively in a fast-paced startup environment.</li></ul><br/><div>$185,000 - $240,000 a year</div><div><span>The annual base salary range for this role is $185,000-$240,000 USD. You may also be offered incentive compensation, bonus, restricted stock units, and benefits. Actual compensation is based on factors such as your skills, qualifications, and experience. We also have a location-based compensation structure; there may be a different range for candidates in other locations.</span></div><br/>
#J-18808-Ljbffr

Outreach is the first and only AI Sales Execution Platform built for intelligent revenue workflows. Built on the world's largest foundation of customer interactions and go-to-market team data, Outreach's leading revenue AI technology helps go-to-market professionals and their companies win by intelligently accelerating decision-making and elevating sellers to do their best work. Our powerful platform gives revenue teams the tools they need to design, measure, and improve a revenue strategy for every stage of the customer journey, improving efficiency and effectiveness across the entire revenue cycle. Over 6,000 customers, including Zoom, McKesson, Snowflake, SAP, and Okta use Outreach to power workflows, put customers at the center of their business, improve revenue results, and win in the market.<br><br>The Role<br><br>Data is at the core of Outreach's strategy. It drives our customers and ourselves to the highest levels of success. We use it for everything from customer health scores and revenue dashboards to operational metrics of our AWS infrastructure, to helping increase product engagement, to predictive analytics and causal inference via experimentation. As our customer base continues to grow, we are looking towards new ways of leveraging our data to save our customers time and improve their sales efficiency.<br><br>About the Team<br><br>The mission of the Data Platform team is to accelerate the success of our internal and external customers through trustworthy data analysis and experimentation. We eliminate data silos and democratize data through effective data ingestion, curation, governance, and serving. As a Senior Staff Software Engineer, you will play a critical role in building and maintaining ourdata platform. You will be responsible for defining our strategy, delivering data-driven functionality, and shipping end-user features. You will work alongside a talented team of software engineers, data scientists, and product managers to transform the way our customers do business.<br><br><strong>Your Daily Adventures Will Include</strong><br><ul><ul><li>Design and implement our cutting-edge data platform, harnessing state-of-the-art technologies and innovative best practices to deliver unparalleled performance, scalability, and reliability, effectively propelling our data capabilities to new heights</li><li>Build sophisticated data pipelines that power our data analytics, GenAI, machine learning, and business intelligence applications, enabling our customers to make data-driven decisions</li><li>Implement robust data security and privacy measures, ensuring that our sensitive data is protected from unauthorized access and breaches</li><li>Implement systems tracking and monitoring data integrity, data quality, and consistency</li><li>Collaborate closely with other engineering teams to seamlessly integrate our data platform components into our software applications, creating a seamless user experience</li><li>Develop framework & tools to support self-service data pipeline management</li><li>Mentor and train junior data engineers, sharing your knowledge and expertise to help grow the team</li></ul>></ul><br><br><strong>Basic Qualifications</strong><br><ul><ul><li>Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field</li><li>At least 8 years of experience in software engineering and data engineering, with a focus on designing and building data platforms</li><li>Strong experience with data processing frameworks, such as Spark or Hadoop</li><li>Strong programming skills in Python, Ruby, or Go</li><li>Strong experience with cloud-based data platforms, such as AWS or GCP</li><li>Experience with data modeling, data warehousing, and ETL processes</li><li>Experience with modern Lakehouse table formats; such as Delta Lake, Apache Iceberg, Apache Hudi</li><li>Good understanding of SQL languages(s) and ability to conduct advanced performance tuning</li><li>Experience with infrastructure management, such as Kubernetes and Terraform</li><li>Experience with workflow management tools</li><li>Experience with data security and privacy measures</li><li>Excellent problem-solving skills and attention to detail</li><li>Strong communication skills and ability to work effectively in a fast-paced startup environment</li></ul></ul><br><br>$185,000 - $240,000 a year<br><br>The annual base salary range for this role is $185,000-$240,000 USD. You may also be offered incentive compensation, bonus, restricted stock units, and benefits. Actual compensation is based on factors such as the your skills, qualifications, and experience. We also have a location-based compensation structure; there may be a different range for candidates in other locations.

Outreach Business Intelligence Interview Guide

Overview

Outreach Business Intelligence Salary

Outreach Business Intelligence Interview Process

Outreach Business Intelligence Interview Questions

Outreach Business Intelligence Jobs