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

Sentinelone Business Intelligence Interview Guide

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


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

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

Overview

Sentinelone 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.

Sentinelone 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

Sentinelone Business Intelligence Interview Questions

<p>SentinelOne is defining the future of cybersecurity through our XDR platform that automatically prevents, detects, and responds to threats in real-time. Singularity XDR ingests data and leverages our patented AI models to deliver autonomous protection. With SentinelOne, organizations gain full transparency into everything happening across the network at machine speed – to defeat every attack, at every stage of the threat lifecycle.</p><p>We are a values-driven team where names are known, results are rewarded, and friendships are formed. Trust, accountability, relentlessness, ingenuity, and OneSentinel define the pillars of our collaborative and unified global culture. We're looking for people that will drive team success and collaboration across SentinelOne. If you’re enthusiastic about innovative approaches to problem-solving, we would love to speak with you about joining our team!</p><p><strong>What are we looking for?</strong></p><p>The Data Analytics Manager will be reporting directly to the Senior Director of Finance, Revenue Planning and will be responsible for ad hoc analyses of our growing business and tasked with looking for trends and leading indicators to help shape our strategies. The candidate must be innately curious about gathering accurate, insightful information to make clear, data-driven business decisions. This person will support Finance in understanding sales and product trends and help drive more accurate forecasting.</p><p><strong>What you will do?</strong></p><ol><li>Analyze data to shed light on key business questions and present on findings.</li><li>Act as the primary point of contact between finance and IT teams, fostering effective communication and alignment on system upgrades, integrations, and troubleshooting efforts.</li><li>Think creatively to find optimal solutions to our complex, often unstructured problems.</li><li>Identify weaknesses in processes, data, and systems, and drive improvements.</li><li>Develop and maintain detailed reports and dashboards to track ARR, NRR, pipeline performance, sales stages, and conversion rates.</li><li>Perform thorough data analysis to ensure accuracy, consistency, and reliability.</li><li>Identify and resolve data discrepancies, and implement corrective actions as needed.</li><li>Create and update interactive dashboards and visualizations using Tableau.</li><li>Gather and integrate sales pipeline data from CRM systems and other relevant sources.</li><li>Recommend and adopt best practices for data management and analysis.</li><li>Work with a wide range of finance and technical stakeholders to identify use cases and gather requirements for analysis, reporting, and automation.</li><li>Build and maintain user-friendly documentation for data models, metrics, and reporting.</li><li>Build and refine predictive models to forecast sales performance and identify market trends.</li><li>Apply statistical and machine learning techniques to develop predictive analytics that support strategic decision-making.</li><li>Leverage AI and machine learning tools to enhance sales analytics capabilities.</li><li>Develop AI-driven insights to identify sales opportunities, optimize pricing strategies, and enhance customer segmentation.</li><li>Stay current with AI and machine learning advancements to apply best practices and innovative approaches to sales analytics.</li></ol><p><strong>What skills and knowledge should you bring?</strong></p><ol><li>BA/BS degree required, preferably in Engineering, Information Systems, or Finance.</li><li>4+ years of Finance, Business Intelligence, Sales Ops, or Marketing experience with an emphasis on data modeling and analysis.</li><li>Experience using SQL to perform analysis, standardize queries, and build large-scale relational datasets.</li><li>Experience developing, deploying, and maintaining Tableau dashboards.</li><li>Ability to communicate effectively with a wide range of technical and non-technical stakeholders, including senior leaders.</li><li>Ability to prioritize and execute tasks in a fast-paced, constantly evolving environment.</li><li>A passion for taking ownership and introducing structure and simplicity when faced with vague, complex problems.</li><li>Extremely detail-oriented.</li><li>Enterprise SaaS experience preferred.</li><li>Experience with key business systems (e.g., Salesforce, Tableau) required.</li></ol><p><strong>Why us?</strong></p><p>You will be joining a cutting-edge company where you will tackle extraordinary challenges and work with the very best in the industry.</p><ul><li>Medical, Vision, Dental, 401(k), Commuter, Health and Dependent FSA.</li><li>Unlimited PTO.</li><li>Paid Company Holidays.</li><li>Paid Sick Time.</li><li>Employee stock purchase program.</li><li>Disability and life insurance.</li><li>Employee assistance program.</li><li>Gym membership reimbursement.</li><li>Cell phone reimbursement.</li><li>Numerous company-sponsored events, including regular happy hours and team-building events.</li></ul><p>This U.S. role has a base pay range that will vary based on the location of the candidate. For some locations, a different pay range may apply. If so, this range will be provided to you during the recruiting process. You can also reach out to the recruiter with any questions.</p><p><strong>Base Salary Range:</strong> $144,640 — $198,880 USD</p><p>SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.</p><p>SentinelOne participates in the E-Verify Program for all U.S. based roles.</p><h3>SentinelOne | Work where your voice is heard and your work is recognized.</h3>
#J-18808-Ljbffr

<p>SentinelOne is defining the future of cybersecurity through our XDR platform that automatically prevents, detects, and responds to threats in real-time. Singularity XDR ingests data and leverages our patented AI models to deliver autonomous protection. With SentinelOne, organizations gain full transparency into everything happening across the network at machine speed – to defeat every attack, at every stage of the threat lifecycle. </p><p>We are a values-driven team where names are known, results are rewarded, and friendships are formed. Trust, accountability, relentlessness, ingenuity, and OneSentinel define the pillars of our collaborative and unified global culture. We're looking for people that will drive team success and collaboration across SentinelOne. If you’re enthusiastic about innovative approaches to problem-solving, we would love to speak with you about joining our team! </p><p><strong>What are we looking for? </strong> </p><p>The Data Analytics Manager will be reporting directly to the Senior Director of Finance, Revenue Planning and will be responsible for ad hoc analyses of our growing business and tasked with looking for trends and leading indicators to help shape our strategies. The candidate must be innately curious about gathering accurate, insightful information to make clear, data-driven business decisions. This person will support Finance in understanding sales and product trends and help drive more accurate forecasting. </p><p><strong>What you will do? </strong> </p><ol><li>Analyze data to shed light on key business questions and present on findings. </li><li>Act as the primary point of contact between finance and IT teams, fostering effective communication and alignment on system upgrades, integrations, and troubleshooting efforts. </li><li>Think creatively to find optimal solutions to our complex, often unstructured problems. </li><li>Identify weaknesses in processes, data, and systems, and drive improvements. </li><li>Develop and maintain detailed reports and dashboards to track ARR, NRR, pipeline performance, sales stages, and conversion rates. </li><li>Perform thorough data analysis to ensure accuracy, consistency, and reliability. </li><li>Identify and resolve data discrepancies, and implement corrective actions as needed. </li><li>Create and update interactive dashboards and visualizations using Tableau. </li><li>Gather and integrate sales pipeline data from CRM systems and other relevant sources. </li><li>Recommend and adopt best practices for data management and analysis. </li><li>Work with a wide range of finance and technical stakeholders to identify use cases and gather requirements for analysis, reporting, and automation. </li><li>Build and maintain user-friendly documentation for data models, metrics, and reporting. </li><li>Build and refine predictive models to forecast sales performance and identify market trends. </li><li>Apply statistical and machine learning techniques to develop predictive analytics that support strategic decision-making. </li><li>Leverage AI and machine learning tools to enhance sales analytics capabilities. </li><li>Develop AI-driven insights to identify sales opportunities, optimize pricing strategies, and enhance customer segmentation. </li><li>Stay current with AI and machine learning advancements to apply best practices and innovative approaches to sales analytics. </li> </ol><p><strong>What skills and knowledge should you bring? </strong> </p><ol><li>BA/BS degree required, preferably in Engineering, Information Systems, or Finance. </li><li>4+ years of Finance, Business Intelligence, Sales Ops, or Marketing experience with an emphasis on data modeling and analysis. </li><li>Experience using SQL to perform analysis, standardize queries, and build large-scale relational datasets. </li><li>Experience developing, deploying, and maintaining Tableau dashboards. </li><li>Ability to communicate effectively with a wide range of technical and non-technical stakeholders, including senior leaders. </li><li>Ability to prioritize and execute tasks in a fast-paced, constantly evolving environment. </li><li>A passion for taking ownership and introducing structure and simplicity when faced with vague, complex problems. </li><li>Extremely detail-oriented. </li><li>Enterprise SaaS experience preferred. </li><li>Experience with key business systems (e.g., Salesforce, Tableau) required. </li> </ol><p><strong>Why us? </strong> </p><p>You will be joining a cutting-edge company where you will tackle extraordinary challenges and work with the very best in the industry. </p><ul><li>Medical, Vision, Dental, 401(k), Commuter, Health and Dependent FSA. </li><li>Unlimited PTO. </li><li>Paid Company Holidays. </li><li>Paid Sick Time. </li><li>Employee stock purchase program. </li><li>Disability and life insurance. </li><li>Employee assistance program. </li><li>Gym membership reimbursement. </li><li>Cell phone reimbursement. </li><li>Numerous company-sponsored events, including regular happy hours and team-building events. </li> </ul><p>This U.S. role has a base pay range that will vary based on the location of the candidate. For some locations, a different pay range may apply. If so, this range will be provided to you during the recruiting process. You can also reach out to the recruiter with any questions. </p><p><strong>Base Salary Range: </strong> $144,640 — $198,880 USD </p><p>SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. </p><p>SentinelOne participates in the E-Verify Program for all U.S. based roles. </p><h3>SentinelOne | Work where your voice is heard and your work is recognized. </h3>#J-18808-Ljbffr

SentinelOne is defining the future of cybersecurity through our XDR platform that automatically prevents, detects, and responds to threats in real-time. Singularity XDR ingests data and leverages our patented AI models to deliver autonomous protection. With SentinelOne, organizations gain full transparency into everything happening across the network at machine speed – to defeat every attack, at every stage of the threat lifecycle.
We are a values-driven team where names are known, results are rewarded, and friendships are formed. Trust, accountability, relentlessness, ingenuity, and OneSentinel define the pillars of our collaborative and unified global culture. We're looking for people that will drive team success and collaboration across SentinelOne. If you’re enthusiastic about innovative approaches to problem-solving, we would love to speak with you about joining our team!
What are we looking for?
The Data Analytics Manager will be reporting directly to the Senior Director of Finance, Revenue Planning and will be responsible for ad hoc analyses of our growing business and tasked with looking for trends and leading indicators to help shape our strategies. The candidate must be innately curious about gathering accurate, insightful information to make clear, data-driven business decisions. This person will support Finance in understanding sales and product trends and help drive more accurate forecasting.
What you will do?
Analyze data to shed light on key business questions and present on findings.
Act as the primary point of contact between finance and IT teams, fostering effective communication and alignment on system upgrades, integrations, and troubleshooting efforts.
Think creatively to find optimal solutions to our complex, often unstructured problems.
Identify weaknesses in processes, data, and systems, and drive improvements.
Develop and maintain detailed reports and dashboards to track ARR, NRR, pipeline performance, sales stages, and conversion rates.
Perform thorough data analysis to ensure accuracy, consistency, and reliability.
Identify and resolve data discrepancies, and implement corrective actions as needed.
Create and update interactive dashboards and visualizations using Tableau.
Gather and integrate sales pipeline data from CRM systems and other relevant sources.
Recommend and adopt best practices for data management and analysis.
Work with a wide range of finance and technical stakeholders to identify use cases and gather requirements for analysis, reporting, and automation.
Build and maintain user-friendly documentation for data models, metrics, and reporting.
Build and refine predictive models to forecast sales performance and identify market trends.
Apply statistical and machine learning techniques to develop predictive analytics that support strategic decision-making.
Leverage AI and machine learning tools to enhance sales analytics capabilities.
Develop AI-driven insights to identify sales opportunities, optimize pricing strategies, and enhance customer segmentation.
Stay current with AI and machine learning advancements to apply best practices and innovative approaches to sales analytics.
What skills and knowledge should you bring?
BA/BS degree required, preferably in Engineering, Information Systems, or Finance.
4+ years of Finance, Business Intelligence, Sales Ops, or Marketing experience with an emphasis on data modeling and analysis.
Experience using SQL to perform analysis, standardize queries, and build large-scale relational datasets.
Experience developing, deploying, and maintaining Tableau dashboards.
Ability to communicate effectively with a wide range of technical and non-technical stakeholders, including senior leaders.
Ability to prioritize and execute tasks in a fast-paced, constantly evolving environment.
A passion for taking ownership and introducing structure and simplicity when faced with vague, complex problems.
Extremely detail-oriented.
Enterprise SaaS experience preferred.
Experience with key business systems (e.g., Salesforce, Tableau) required.
Why us?
You will be joining a cutting-edge company where you will tackle extraordinary challenges and work with the very best in the industry.
Medical, Vision, Dental, 401(k), Commuter, Health and Dependent FSA.
Unlimited PTO.
Paid Company Holidays.
Paid Sick Time.
Employee stock purchase program.
Disability and life insurance.
Employee assistance program.
Gym membership reimbursement.
Cell phone reimbursement.
Numerous company-sponsored events, including regular happy hours and team-building events.
This U.S. role has a base pay range that will vary based on the location of the candidate. For some locations, a different pay range may apply. If so, this range will be provided to you during the recruiting process. You can also reach out to the recruiter with any questions.
Base Salary Range:  $144,640 — $198,880 USD
SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
SentinelOne participates in the E-Verify Program for all U.S. based roles.
SentinelOne | Work where your voice is heard and your work is recognized.
#J-18808-Ljbffr

Sentinelone Business Intelligence Interview Guide

Overview

Sentinelone Business Intelligence Salary

Sentinelone Business Intelligence Interview Process

Sentinelone Business Intelligence Interview Questions

Sentinelone Business Intelligence Jobs