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

Nomi Health Business Intelligence Interview Guide

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


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

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

Overview

Nomi Health 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.

Nomi Health 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 the manager with the biggest team size.</p>

<p>You may assume there is only one manager with the largest team size.</p>

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

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

<p><code>employees</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>manager_id</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
<p><code>managers</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>team</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>manager</code></td>
<td>VARCHAR</td>
</tr>

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


Manager Team Sizes

<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

Nomi Health Business Intelligence Interview Questions

<p>We are seeking a skilled Data Analyst to join our team in Austin, Texas. You will be reporting into the Director of Data Engineering and will play a crucial role in shaping our data-driven decision-making process. You will be leveraging a deep understanding of the data to build the appropriate delivery mechanism for the insights. You will play a pivotal role in transforming structured datasets into actionable insights, contributing to strategic decision-making processes, and enhancing the overall data-driven culture within our organization.

How you will make an impact

Use best practices to transform and prepare data for analysis. This includes writing, testing, and deploying transformation code, ensuring data quality and reliability.
Create and maintain advanced tools and dashboards. Train Operational Analysts on these tools, enabling them to independently run reports and analyses.
Develop and provide warehouse code optimized for deployment by Data Engineers. This involves working with modern data warehousing tools like Snowflake.
Ensure the highest quality of data and maintain thorough documentation, making it easier for end users to understand and use the data effectively.
Serve as a key intermediary between Operational Analysts and Data Engineers, understanding and translating the requirements of both teams to improve data processes and output.
Leverage SQL/python to extract, transform and analyze various datasets within and across business unitsDesign and implement data models to support analytical needs to empower end-users like data scientists and business analysts and drive a culture of data driven decision makingCreate comprehensive and visually appealing reports, dashboards, and visualizations to communicate findings.
Implement robust data quality assurance processes to ensure accuracy and reliability of datasets.
Work closely with cross-functional teams, including business analysts, engineers, and stakeholders, to understand data needs and deliver actionable models & insights.
Provide training and mentoring to analysts (within and outside of the team)Lead and contribute to the development of best practices for data analysis within the team.
What we are looking for This is a hybrid position requiring in-office presence on Tuesdays, Wednesdays, and Thursdays at our Austin office.
Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field or a Master's degree is preferred.
Strong academic background in data analysis, statistics, and computer programming.
Minimum of 1-3 years of experience in a data analytics or engineering role, preferably in a fast-paced and dynamic environment.
Proficiency in data analysis and visualization toolsExperience with modern data stack tools like dbt, and familiarity with cloud-based data warehouses is a bonusExceptional problem-solving abilities and a dedication to improving data quality at its source.
Effective communication skills, able to bridge technical and business domains seamlessly.
Maintain thorough documentation, making it easier for end users to understand and use the output effectively.
Create comprehensive and visually appealing reports, dashboards, and visualizations to communicate findings.
Collaborate with stakeholders to understand data requirements and ensure alignment with business objectives.
Stay informed about emerging trends and advancements in data analytics and SQL technologies.
Propose and implement process improvements to enhance the efficiency of data-related workflows</p>

Nomi Health Business Intelligence Interview Guide

Overview

Nomi Health Business Intelligence Salary

Nomi Health Business Intelligence Interview Process

Nomi Health Business Intelligence Interview Questions

Nomi Health Business Intelligence Jobs