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

Altice Usa Business Intelligence Interview Guide

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


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

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

Overview

Altice Usa 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.

Altice Usa 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>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

Altice Usa Business Intelligence Interview Questions

Altice USA
Altice USA<br/><br/>is a cutting-edge communications, media, and tech company. We connect people to what matters most to them; texting with friends, advertising that resonates, or binge watching their favorite show. Our differentiated approach centers around technologies that push the envelope and deliver the ultimate customer experience. We're building a workforce that attracts and retains the best talent, not only to meet the needs of our customers, but that also reflects the diverse communities we serve.
Job Summary<br/><br/>As a data analyst, you will quickly gain a deep understanding of our B2B business and use data to identify trends/opportunities and drive actionable insights into the hands of organizational stakeholders in support of revenue growth and customer retention. The ideal candidate is bright, inquisitive, analytical, technically proficient, detail-oriented, and has a minimum of 2 years of advanced data & analytics experience, preferably for a large sales organization of a subscription-based business.
Responsibilities<br/><br/>Analyze complex sales/marketing data sets to identify trends, patterns, insights, and opportunities to increase revenue, improve sales operations/performance and decrease customer attrition.
Conduct pricing, product, propensity to purchase, customer segmentation and revenue forecast analyses.
Fulfill ad hoc requests from stakeholders for data, reports, and one-off analyses.
Design and build data visualizations to present analyses in clear, compelling, and easy-to-understand ways using Excel and PowerPoint.
Develop, maintain and monitor dashboards and reports to track key sales & marketing performance indicators (KPIs).
Qualifications<br/><br/>Minimum 2 years of data and analytics experience.
Demonstrated ability to tell a compelling story using data.
Strong problem-solving and decision-making skills, even in the absence of complete information.
Proactive learner with a self-starter mentality and sense of urgency.
Exceptional organizational skills and attention to detail.
Ability to prioritize and manage multiple projects simultaneously.
Persuasive communication and interpersonal skills with the ability to work effectively both independently and as part of a cross-functional team in a fast-paced, deadline-driven environment with minimal supervision.
Technical Skills
Minimum 2 years of advanced SQL experience.
Experience using GCP, BigQuery, Tableau (or other BI tool), Salesforce Lightning and advanced Excel (e.g., Coefficient, charts, graphs, pivot tables, VLookups, etc.).
Experience with Python and R is a plus.
Altice USA is an Equal Opportunity Employer committed to recruiting, hiring and promoting qualified people of all backgrounds regardless of gender, race, color, creed, national origin, religion, age, marital status, pregnancy, physical or mental disability, sexual orientation, gender identity, military or veteran status, or any other basis protected by federal, state, or local law.
Altice USA, Inc. collects personal information about its applicants for employment that may include personal identifiers, professional or employment related information, photos, education information and/or protected classifications under federal and state law. This information is collected for employment purposes, including identification, work authorization, FCRA-compliant background screening, human resource administration and compliance with federal, state and local law.
Applicants for employment with Altice will never be asked to provide money (even if reimbursable) as part of the job application or hiring process. Please review our Fraud FAQfor further details.
This position is identified as being performed in/or reporting to company operations in New York State. Salary ranges are supplied in compliance with New York State law. Pay is competitive and based on a number of job-related factors, including skills and experience. The starting pay rate/range at time of hire for this position in the posted location is $77,112.00 -$100,000.00/year. The rate/range provided herein is the anticipated pay at the time of hire, and does not reflect future job opportunity.

<p>Altice USA </p><p><b>Altice USA</b> is a cutting-edge communications, media, and tech company. We connect people to what matters most to them; texting with friends, advertising that resonates, or binge watching their favorite show. Our differentiated approach centers around technologies that push the envelope and deliver the ultimate customer experience. We're building a workforce that attracts and retains the best talent, not only to meet the needs of our customers, but that also reflects the diverse communities we serve. </p> <h5><b>Job Summary</b></h5> <p>Machine Learning Engineers work to deploy end-to-end solutions to business problems leveraging AI and/or ML principles as needed to create those solutions. MLEs will take requests from stakeholders, define the components required for the project, gather data necessary for project EDA and training, then work with stakeholders to develop a plan around the productionized use of the solution, and work to put that solution into final production. </p> <h5><b>Responsibilities</b></h5> <ul><li>Consult with stakeholders to gather business requirements, translate them into data solutions, design high-level model structures and demonstrate deep expertise in advanced analytics techniques (e.g., AI and ML) to design, prototype, and build solutions to business problems </li><li>Lead communication with other stakeholders to drive use case development and manage expectations on model limitations and lead times </li><li>Analyze data to identify useful relations, patterns and features that are predictive of user behaviors, preferences, intents, interests </li><li>Manage and execute entire projects from start to finish, including cross-functional project management; data collection and manipulation, analysis and modeling; communication of insights and recommendations; productionalization of final model products </li><li>Share findings with stakeholders to improve business decisions and/or influence strategic direction. </li><li>Monitor and stay updated with industry trends and emerging technologies to identify opportunities for innovation and improvement </li><li>Developing and maintaining the end to end modeling code and standardizing the code for reusability in the production environment. </li><li>Profiling users including customer segmentation to help the marketing team to target specific audience for upgrading to services and also for the user retention </li></ul> <h5><b>Qualifications</b></h5> <ul><li>Degree in a quantitative discipline, such as Data Science, Applied Mathematics, Statistics, Economics, Operations Research, Computer Science, Mathematics, Physics, Biology, Chemistry or Engineering. An advanced degree, Data Science bootcamp or MOOC certification is a plus. </li><li>3-5 years of work experience in classification, regression, clustering, natural language processing NLP, experiments, and optimization. </li><li>Ability to apply Bayesian inference, frequentist statistics, causal modeling, and / or machine learning techniques. </li><li>Experience with any of these: customer segmentation, campaign targeting and effectiveness, A/B experiments, quasi-experiments, sales forecasting, churn propensity modeling, customer lifetime value analysis, credit risk, geospatial analytics, survey key-drivers, marketing mix modeling, multi-touch attribution, or recommender systems. </li><li>Highly skilled in R and Python for statistical and machine learning programming. </li><li>Highly skilled in SQL & Python coding to wrangle and explore structured & unstructured data. </li><li>Proficient with server or Cloud computing platforms, such as Google Compute Engine or EC2. </li><li>Proficient with data warehouses, such as Oracle, Big Query, or AWS. </li><li>Subject matter scientist that can review the literature to identify state of the art solutions to a business problem. </li></ul> <p>Altice USA is an Equal Opportunity Employer committed to recruiting, hiring and promoting qualified people of all backgrounds regardless of gender, race, color, creed, national origin, religion, age, marital status, pregnancy, physical or mental disability, sexual orientation, gender identity, military or veteran status, or any other basis protected by federal, state, or local law. </p><p>Altice USA, Inc. collects personal information about its applicants for employment that may include personal identifiers, professional or employment related information, photos, education information and/or protected classifications under federal and state law. This information is collected for employment purposes, including identification, work authorization, FCRA-compliant background screening, human resource administration and compliance with federal, state and local law. </p><p>Applicants for employment with Altice will never be asked to provide money (even if reimbursable) as part of the job application or hiring process. Please review our Fraud FAQfor further details. </p><p>This position is identified as being performed in/or reporting to company operations in New York State. Salary ranges are supplied in compliance with New York State law. Pay is competitive and based on a number of job-related factors, including skills and experience. The starting pay rate/range at time of hire for this position in the posted location is $156,774.00-$198,273.00/year. The rate/range provided herein is the anticipated pay at the time of hire, and does not reflect future job opportunity. </p>

<p>Altice USA Altice USA is a cutting-edge communications, media, and tech company. We connect people to what matters most to them; texting with friends, advertising that resonates, or binge watching their favorite show. Our differentiated approach centers around technologies that push the envelope and deliver the ultimate customer experience. We're building a workforce that attracts and retains the best talent, not only to meet the needs of our customers, but that also reflects the diverse communities we serve. Job Summary Machine Learning Engineers work to deploy end-to-end solutions to business problems leveraging AI and/or ML principles as needed to create those solutions. MLEs will take requests from stakeholders, define the components required for the project, gather data necessary for project EDA and training, then work with stakeholders to develop a plan around the productionized use of the solution, and work to put that solution into final production. Responsibilities Consult with stakeholders to gather business requirements, translate them into data solutions, design high-level model structures and demonstrate deep expertise in advanced analytics techniques (e.g., AI and ML) to design, prototype, and build solutions to business problems Lead communication with other stakeholders to drive use case development and manage expectations on model limitations and lead times Analyze data to identify useful relations, patterns and features that are predictive of user behaviors, preferences, intents, interests Manage and execute entire projects from start to finish, including cross-functional project management; data collection and manipulation, analysis and modeling; communication of insights and recommendations; productionalization of final model products Share findings with stakeholders to improve business decisions and/or influence strategic direction. Monitor and stay updated with industry trends and emerging technologies to identify opportunities for innovation and improvement Developing and maintaining the end to end modeling code and standardizing the code for reusability in the production environment. Profiling users including customer segmentation to help the marketing team to target specific audience for upgrading to services and also for the user retention Qualifications Degree in a quantitative discipline, such as Data Science, Applied Mathematics, Statistics, Economics, Operations Research, Computer Science, Mathematics, Physics, Biology, Chemistry or Engineering. An advanced degree, Data Science bootcamp or MOOC certification is a plus. 3-5 years of work experience in classification, regression, clustering, natural language processing NLP, experiments, and optimization. Ability to apply Bayesian inference, frequentist statistics, causal modeling, and / or machine learning techniques. Experience with any of these: customer segmentation, campaign targeting and effectiveness, A/B experiments, quasi-experiments, sales forecasting, churn propensity modeling, customer lifetime value analysis, credit risk, geospatial analytics, survey key-drivers, marketing mix modeling, multi-touch attribution, or recommender systems. Highly skilled in R and Python for statistical and machine learning programming. Highly skilled in SQL & Python coding to wrangle and explore structured & unstructured data. Proficient with server or Cloud computing platforms, such as Google Compute Engine or EC2. Proficient with data warehouses, such as Oracle, Big Query, or AWS. Subject matter scientist that can review the literature to identify state of the art solutions to a business problem. Altice USA is an Equal Opportunity Employer committed to recruiting, hiring and promoting qualified people of all backgrounds regardless of gender, race, color, creed, national origin, religion, age, marital status, pregnancy, physical or mental disability, sexual orientation, gender identity, military or veteran status, or any other basis protected by federal, state, or local law. Altice USA, Inc. collects personal information about its applicants for employment that may include personal identifiers, professional or employment related information, photos, education information and/or protected classifications under federal and state law. This information is collected for employment purposes, including identification, work authorization, FCRA-compliant background screening, human resource administration and compliance with federal, state and local law. Applicants for employment with Altice will never be asked to provide money (even if reimbursable) as part of the job application or hiring process. Please review our Fraud FAQfor further details. This position is identified as being performed in/or reporting to company operations in New York State. Salary ranges are supplied in compliance with New York State law. Pay is competitive and based on a number of job-related factors, including skills and experience. The starting pay rate/range at time of hire for this position in the posted location is $156,774.00-$198,273.00/year. The rate/range provided herein is the anticipated pay at the time of hire, and does not reflect future job opportunity. We are an Equal Opportunity Employer M/F/Disability/Vet and maintain a drug-free and smoke-free workplace Minimum Salary: 156774.00 Maximum Salary: 198273.00 Salary Unit: Yearly</p>

Altice Usa Business Intelligence Interview Guide

Overview

Altice Usa Business Intelligence Salary

Altice Usa Business Intelligence Interview Process

Altice Usa Business Intelligence Interview Questions

Altice Usa Business Intelligence Jobs