The State of utah Business Intelligence interview guide, interview questions, salary data, and interview experiences.

State of utah Business Intelligence Interview Guide

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


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

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

Overview

State of utah 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.

State of utah 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>Write a query to show the number of users, number of transactions placed, and total order amount per month in the year 2020. Assume that we are only interested in the monthly reports for a single year (January-December).</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>products</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>

<tr>
<td><code>price</code></td>
<td>FLOAT</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>

<tr>
<td><code>sex</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>month</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>num_customers</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>num_orders</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>order_amt</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>


Monthly Customer Report

State of utah Business Intelligence Interview Questions

<strong>Salary:</strong> $32.01 - $53.60 Hourly <br> <br><strong>Location :</strong> Salt Lake County, UT <br> <br><strong>Job Type:</strong> Full Time <br> <br><strong>Job Number:</strong> 42661 <br> <br><strong>Agency:</strong> 560 Department of Natural Resources <br> <br><strong>Unit:</strong> 0910 DNR OFFICE OF ENERGY DEVELOPMENT <br> <br><strong>Opening Date:</strong> 09/06/2024 <br> <br><strong>Closing Date:</strong> 9/19/2024 11:59 PM Mountain <br> <br><strong>FLSA:</strong> Exempt <br> <br><strong>Recruiter:</strong> Kenneth Favor <br> <br><strong># of Openings:</strong> 1 <br> <br><strong>Background Check:</strong> You must successfully pass a criminal history check. <br> <br><strong>Schedule Code:</strong> AX - Employees in supervisory positions - This is a career service exempt at will position. <br> <br><strong>Benefits:</strong> This position is eligible for a full benefits package. See benefits tab below for details. <br> <br><strong>EEO Statement:</strong> The State of Utah is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. For accommodations, dial 711 or TTY: 800-346-4128. <br> <br><strong>Job Description</strong><br><br><strong>Why you should join our team:</strong> <br>Energy is the foundation of modern society. It is the engine that provides our communities with food, water, and healthcare and empowers us to innovate and advance our society. As part of the Office of Energy Development, your efforts will play a key role in helping shape Utah's energy future. Be part of the team that provides evidence-based solutions and policy <br>recommendations that keep Utah burning bright. <br> <br><strong>Job Description:</strong> <br>We are seeking a highly analytical and motivated Data Scientist to join our team. This role is <br>pivotal in analyzing and interpreting complex data to inform strategic planning, policy <br>development, and decision-making processes related to the state's energy and mineral <br>resources. The ideal candidate will have a background in data science, statistics, analytics, and machine learning, with a keen interest in energy issues. You will collaborate with a <br>multidisciplinary team to support the office's mandates as outlined in State Code Sections <br>79-6-301 and 79-6-401. <br> <br><strong>Responsibilities:</strong> <ul> <li>Develop and implement advanced data analysis, predictive models, and machine learning algorithms to forecast energy supply, demand, and trends. </li> <li>Utilize data analytics to support the strategic planning process, contributing to the development of a strategic energy plan that addresses the state's energy needs over a prospective 30-year period. </li> <li>Continually analyze Utah's energy resources' development to update forecasts as the market changes, ensuring the state's energy model is up to date. </li> <li>Conduct data-driven analysis to support policy recommendations and executive or legislative action related to energy pursuits. </li> <li>Work with specialists to maintain and update a public website and dashboard for transparency and public accessibility of energy data and insights. </li> <li>Documents the data warehouse, including locations and meanings of key fields and how they can be joined with other data. </li> <li>Engage in stakeholder consultation, utilizing data analytics to inform discussions and align strategies with the state's energy policy goals. </li> <li>Communicate complex data findings to non-technical stakeholders, including policymakers, industry partners, and the public. </li> <li>Provide data, figures, and visuals for reports. </li> </ul><strong>Qualifications:</strong> <ul> <li>Bachelor's Degree or higher in Data Science, Statistics, Mathematics, or a related field, and/or equivalent work experience. </li> <li>Minimum of 3 years of experience in data science, analytics, or a related role, preferably within the energy sector or a related field. </li> <li>Strong proficiency in programming languages such as Python or R and experience with SQL. </li> <li>Experience with statistical modeling, data mining techniques, and machine learning algorithms. </li> <li>Familiarity with data visualization tools and techniques. </li> <li>Ability to interpret complex data and present findings clearly to both technical and non-technical audiences. </li> <li>Excellent problem-solving skills and the ability to work collaboratively in a multidisciplinary team. </li> <li>Knowledge of energy and mineral resource management, policy, and economics is a plus. </li> </ul><br><br><strong>Benefits:</strong> <br>The State of Utah offers eligible employees a variety of benefits including medical, dental, life and disability insurance, as well as a comprehensive leave program. Please click the following link for a detailed information page: To access a Total Compensation Calculator in Excel format click <br> <br><strong>FMLA General Notice:</strong> <br> (right click + open link in new tab)<br> (clic derecho + abrir en una pestaa nueva?) <br> <br>01 <br> <br> Only applicants selected for an interview will be contacted.The interview selection process is based on your answers to the application questions. Your answers to the questions on this application should be specific to the question that was asked and must be supported by your resume or work history otherwise you may not receive credit. Failure to answer the application questions completely and appropriately may result in disqualification, this includes copy/pasting your resume instead of answering the question. "See resume" or "see work history" are not acceptable answers to any question.Do you understand and agree to follow the above statement? <ul> <li>Yes</li> <li>No</li> </ul> <br> <br>02 <br> <br> Select the highest degree completed in data science, statistics, mathematics, or related field or years of work experience: <ul> <li>Master's</li> <li>PhD</li> <li>Less than 5 years of work experience</li> <li>5 years or more of work experience</li> </ul> <br> <br>03 <br> <br> Do you have at least 3 years of experience in data analytics or a related field? <ul> <li>Yes</li> <li>No</li> </ul> <br> <br>04 <br> <br> What is your proficiency level with Python or R or SQL? <ul> <li>Beginner</li> <li>Intermediate</li> <li>Advanced</li> </ul> <br> <br>05 <br> <br> How many years of experience do you have with data visualization tools and techniques? <ul> <li>Less than 1 year</li> <li>1-3 years</li> <li>4-5 years</li> <li>5 years or more</li> </ul> <br> <br>06 <br> <br> Have you ever helped develop long-term forecasts using data? <ul> <li>Never</li> <li>Yes, 1-5 times</li> <li>Yes, over 5 times</li> </ul> <br> <br>07 <br> <br> Please indicate how you heard about this specific job posting. <ul> <li>State of Utah job site (www.governmentjobs.com/careers/utah)</li> <li>Referred by a Friend or Family</li> <li>Indeed</li> <li>Other External Job Board or Site</li> <li>LinkedIn</li> <li>Social Media (Facebook, Twitter, etc.)</li> <li>DWS job website (www.jobs.utah.gov)</li> <li>Advertisement (Digital Ad, Billboard, Print, etc.)</li> <li>Professional Network (Association, Membership, Work Colleague)</li> <li>University Network (Handshake, School Job Board, Career Center, etc.)</li> <li>Contacted by a Recruiter</li> <li>Career or Job Fair</li> <li>Internship</li> <li>Interviewed for different position</li> <li>Internal communications (Agency/Division, etc.)</li> <li>Other (not listed above)</li> </ul> <br> <br>Required Question

State of utah Business Intelligence Interview Guide

Overview

State of utah Business Intelligence Salary

State of utah Business Intelligence Interview Process

State of utah Business Intelligence Interview Questions

State of utah Business Intelligence Jobs