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

Beyondsoft Business Intelligence Interview Guide

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


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

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

Overview

Beyondsoft 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.

Beyondsoft 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>Let’s say you’re working for a social media company trying to grow your user base. You know that people tend to use the same social network as their peers, so you want to target all your growth and marketing efforts on specific age groups so as to take advantage of network effects.</p>

<p>You wish to begin with the age group that is currently generating the most connections (fastest growing).</p>

<p>Write a SQL query to find the average number of accepted friend requests for each age group and order the results in descending order.</p>

<p><em>Note: The average number of accepted friend requests is calculated as the total number of friend requests sent by an age group that was accepted divided by the number of members in said age group.</em></p>

<p><em>We can assume the tables hold valid data in that there are no duplicate friend requests, friend requests are only accepted once, and user A can only accept a friend request from User B after B sends A a friend request.</em></p>

<p><em>The result should be rounded to two decimal places.</em></p>

<h3>Example:</h3>

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

<p><strong><code>friend_requests</code></strong></p>

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>requester_id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>receiver_id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>sent_at</td>
<td>DATETIME</td>
</tr>
</tbody>
</table>
<p><strong><code>requests_accepted</code></strong></p>

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>accepter_id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>requester_id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>accepted_at</td>
<td>DATETIME</td>
</tr>
</tbody>
</table>
<p><strong><code>age_groups</code></strong></p>

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>user_id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>age_group</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>age_group</td>
<td>VARCHAR</td>
</tr>

<tr>
<td>average_acceptance</td>
<td>FLOAT</td>
</tr>
</tbody>
</table>


Find the average number of accepted friend requests for each age group that sent the requests.

Avg Friend Requests By Age Group

Beyondsoft Business Intelligence Interview Questions

<p>We are seeking a highly analytical and detail-oriented Business Data Analyst with expertise in Biotech R&D data and applications. The ideal candidate will play a crucial role in transforming complex data into actionable insights that support decision-making processes in biotech research and development. This position requires a deep understanding of biotech R&D data, bioinformatical sciences, pharmacological sciences, and histology data and applications, and the ability to translate business needs into data-driven solutions. The Business Data Analyst will work closely with R&D, IT, and business teams to ensure that data is accurately captured, analyzed, and utilized to drive innovation and efficiency.
The Business Data Analyst is expected to work on-site at least 4 days a week at the Lexington, MA office location.

Key Responsibilities:
Work with IT and R&D teams to ensure accurate data collection, storage, and integration across various platforms and applications.
Work with Business Owners to analyze complex biotech R&D data and systems and document requirements for new IT solutions.
Work with Voyager IT and MSP partners to develop and maintain system integrations, dashboards, reports, and visualizations to present data findings to stakeholders.
Work with Business Owners to understand statistical methods and data mining techniques used to extract actionable insights from large datasets and implement a Solution with help from Voyager IT and MSP partners.
Implement and maintain data management processes, including data quality checks, data cleansing, and data governance.
Ensure that all data-related activities comply with Voyager standards
Provide support and expertise in the use of bioinformatics and biotech R&D applications, including LIMS, ELN, and data analysis tools.
Collaborate with R&D teams to understand their data needs and optimize the use of existing applications.
Assist in the evaluation and implementation of new data tools and applications that enhance research capabilities.
Design and implement business intelligence solutions that align with R&D objectives and business goals.
Create and automate reports that track key performance indicators (KPIs) relevant to biotech research.
Conduct ad hoc analyses as required by business leaders and R&D teams.
Serve as a liaison between R&D, IT, and business teams to ensure alignment on data-related initiatives.
Facilitate communication and understanding of data-driven insights among non-technical stakeholders.
Participate in cross-functional projects that involve data analysis and contribute to strategic planning.

Project Management:
Lead or support data-related projects, ensuring they are delivered on time and meet business requirements.
Coordinate with stakeholders to gather requirements, define project scope, and manage project timelines.
Provide regular updates on project progress to management and other stakeholders.
Bachelor’s degree in Data Science, Computer Science, Statistics, Biotechnology, Bioinformatics, Business Analytics, or a related field.
Advanced degree or certifications in Data Analytics, Bioinformatics, or Biotechnology is a plus.
Experience:
10 years of experience as a Data Analyst or Business Analyst, preferably in the biotech or pharmaceutical industry.
Proven experience in handling and analyzing biotech R&D data, including genomic, proteomic, and clinical trial data.
Familiarity with bioinformatics tools, databases, and R&D applications (e.g., LIMS, ELN).

Technical Skills:
Proficiency in data analysis tools such as SQL, Python, R, or SAS.
Experience with data visualization tools like JMP, Spotfire, Power BI, or Qlik.
Strong understanding of data management and data governance principles.
Familiarity with cloud platforms (e.g., AWS, Azure) and their data services.

Soft Skills:
Excellent analytical and problem-solving skills with attention to detail.
Strong communication skills, with the ability to translate technical data into business insights.
Ability to work collaboratively in a cross-functional team environment and manage multiple projects simultaneously.

Additional Requirements:
Knowledge of regulatory compliance in the biotech industry (e.g., FDA, EMA) is preferred.
Willingness to stay current with industry trends and advancements in biotech R&D and data analytics.</p>

Beyondsoft Business Intelligence Interview Guide

Overview

Beyondsoft Business Intelligence Salary

Beyondsoft Business Intelligence Interview Process

Beyondsoft Business Intelligence Interview Questions

Beyondsoft Business Intelligence Jobs