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

Saama Business Intelligence Interview Guide

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


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

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

Overview

Saama 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.

Saama 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 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

Saama Business Intelligence Interview Questions

<p>Job Title: Epic Clarity Data Engineer</p><p>Location: Chennai, Coimbatore, Pune </p><p>Experience Level: 6-8 Years</p><p> </p><p>Job Description:</p><p>Saama Technologies is seeking a skilled Epic Clarity Data Engineer to join our growing team. The ideal candidate will have strong experience working with healthcare data, particularly in the Epic Clarity database, and expertise in building data pipelines and performing data analysis. As part of our team, you will design and develop data solutions that drive insights for healthcare providers and other stakeholders.</p><p> Key Responsibilities:</p><ul><li> Data Access and Retrieval: Utilize Microsoft SQL Server to access and retrieve data from various databases. Develop and maintain stored procedures and functions to streamline data operations.</li><li> Data Analysis on Epic Clarity DB: Perform in-depth data analysis on the Epic Clarity database. Cleanse and enhance datasets using Azure data services and programming languages to provide actionable insights.</li><li> Data Pipeline Development: Design and develop robust data pipelines to extract, transform, and load (ETL) data from Epic systems, ensuring seamless integration into downstream systems.</li><li> Healthcare Data Interpretation: Analyze and interpret healthcare data, with a specific focus on the Provider domain to support operational and clinical decision-making.</li><li> Epic Clarity Experience: Leverage your prior knowledge of the Epic Clarity DB to ensure data accuracy, optimize performance, and drive effective reporting solutions.</li></ul><p> </p><p> Required Qualifications:</p><ul><li> Proven experience with Microsoft SQL Server, including writing and optimizing stored procedures and functions.</li><li> Hands-on experience working with Epic Clarity DB, particularly in accessing and analyzing data.</li><li> Proficiency with Azure data services and other tools to cleanse and enhance datasets.</li><li> Strong understanding of healthcare data, especially within the Provider domain.</li><li> Previous experience developing data pipelines and performing ETL operations to extract data from Epic systems for integration.</li><li> Excellent problem-solving skills and attention to detail.</li></ul><p> </p><p> Preferred Qualifications:</p><ul><li> Experience with healthcare data analytics and familiarity with clinical data sets.</li><li> Knowledge of other healthcare data systems and standards.</li></ul><p> </p><p>Why Join Saama?</p><ul><li> Opportunity to work with cutting-edge technologies in healthcare data management.</li><li> Collaborative and innovative work environment with a focus on career growth.</li><li> Work on impactful projects that improve healthcare outcomes.</li></ul><p>If you're passionate about healthcare data and have the technical skills to match, we’d love to hear from you!</p>

Saama Business Intelligence Interview Guide

Overview

Saama Business Intelligence Salary

Saama Business Intelligence Interview Process

Saama Business Intelligence Interview Questions

Saama Business Intelligence Jobs