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

Workiva Business Intelligence Interview Guide

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


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

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

Overview

Workiva 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.

Workiva 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

Workiva Business Intelligence Interview Questions

<p>The Machine Learning Engineer is responsible for contributing to the development and implementation of innovative machine learning solutions at Workiva. They will assist in building ML features, collaborating on projects that may include integrating AI into Workiva's platform. </p><p>The role involves supporting the development of tools, systems, infrastructure, and automation to enhance the performance and monitoring of ML solutions. The Machine Learning Engineer will work closely with senior team members to troubleshoot issues related to availability or scaling and contribute to solutions that ensure long-term stability. They will apply foundational knowledge in the Machine Learning space while learning from and assisting more experienced engineers. </p><p><b><b>What You'll Do</b></b> </p><ul> <li><p>Assist in designing systems that enable rapid machine learning (ML) development, focusing on high availability and clear observability </p></li> <li><p>Collaborate with product teams to develop APIs for accessing Workiva's ML solutions </p></li> <li><p>Contribute to the delivery, update, and maintenance of ML infrastructure </p></li> <li><p>Write and maintain high-quality code, ensuring scalability, performance, and maintainability </p></li> <li><p>Participate in code reviews, offering and receiving constructive feedback </p></li> <li><p>Work closely with senior engineers to follow best practices and learn team processes </p></li> <li><p>Write automated tests (unit, integration, functional) to ensure the stability and accuracy of ML solutions </p></li> <li><p>Debug and troubleshoot ML components across different services and applications </p></li> <li><p>Engage with support teams in resolving production issues and ensuring smooth operation </p></li> <li><p>Take part in on-call rotations for 24x7 support of Workiva's SaaS environments </p></li> <li><p>Collaborate with software and data architects, as well as product managers, to help deliver complete software solutions that address customer needs </p></li> <li><p>Explore and experiment with new technologies and techniques to improve processes and products </p></li> <li><p>Foster an inclusive and collaborative work environment, contributing to team creativity and growth </p></li> <li><p>Gain hands-on experience with Workiva's technical standards and methods, while taking ownership of assigned activities </p></li> </ul><p><b><b>What You'll Need</b></b> </p><p><b><b>Preferred Qualifications</b></b> </p><ul> <li><p>2 years of ML engineering experience or; or an advanced degree without experience </p></li> <li><p>Proficiency in the machine learning development cycle, toolsets, and applying ML solutions to real-world problems </p></li> <li><p>Experience with model deployment, data pipelines, and CI/CD pipelines, as well as infrastructure management </p></li> <li><p>Familiarity with Generative AI and relevant development patterns </p></li> <li><p>Proficient in programming languages like Python, Java, Typescript, React, or similar, and experience using source control systems (e.g., GitHub) </p></li> <li><p>Hands-on experience with Docker and Kubernetes (preferred) along with cloud services like AWS or equivalent platforms </p></li> <li><p>Strong foundation in programming, including data structures, algorithms, and distributed systems </p></li> <li><p>Experience working in Agile/Sprint environments and debugging complex systems or applications </p></li> <li><p>Knowledge of web protocols (HTTP), databases, performance tuning, and production-level testing </p></li> <li><p>Strong communication and organizational skills for managing multiple projects and meeting deliverables effectively </p></li> </ul><p><b><b>Travel Requirements and Working Conditions</b></b> </p><ul> <li><p>Willingness to travel up to 15% for team and corporate meetings, fostering relationships and representing company interests </p></li> <li><p>Reliable internet access for any period of time working remotely, as we embrace flexible work arrangements </p></li> </ul><p>Workiva is an Equal Opportunity Employer.We believe that great minds think differently.We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. Employment decisions are made without regard to age, gender identity, race, religion, disability status, sexual orientation, or any other protected characteristic. </p><p>Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email<b>talentacquisition@workiva.com</b>. </p><p>Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards. </p><p><i>Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.</i> </p>#LI-MJ2

<p>At Workiva, we're on a mission to power transparent reporting for regulated industries. Our cloud platform is the backbone of this effort, enabling companies to connect data, documents, and teams seamlessly. We're looking for an Engineering Manager to lead our Cloud Infrastructure team, ensuring our platform remains reliable, secure, and scalable. </p><p>As the Engineering Manager for our Cloud Infrastructure Team, you will oversee a team of talented software engineers who are responsible for maintaining the core cloud infrastructure that powers Workiva's regulated reporting platform. Your leadership will be critical in enabling our engineering teams to utilize cloud infrastructure with minimal configuration and maintenance, while maintaining world-class security standards. </p><p> <br><b>What You'll Do</b> </p><ul> <li><p>Lead, mentor, and develop a team of engineers, fostering a people-first culture that empowers team members to succeed </p></li> <li><p>Collaborate with engineering teams across Workiva to ensure effective and reliable usage of cloud systems and infrastructure </p></li> <li><p>Oversee the management and operation of numerous Kubernetes clusters and supporting services, ensuring they are optimized for performance and security </p></li> <li><p>Develop and operate core networking solutions, including AWS Networking, Cloudflare WAF, DDOS protection, and Zero Trust frameworks </p></li> <li><p>Implement and maintain security tooling to protect the confidentiality, integrity, and availability of the infrastructure platform </p></li> <li><p>Monitor and optimize cloud infrastructure operating expenses, ensuring cost efficiency </p></li> <li><p>Guide the team in scoping complex projects, meeting deadlines, and delivering high-quality infrastructure solutions </p></li> </ul><p><b>What You'll Need</b> </p><p>Minimum Qualifications </p><ul> <li><p>Bachelor's degree in a related field with 4+ years of relevant engineering experience, or equivalent additional experience in lieu of a degree </p></li> </ul><p>Preferred Qualifications </p><ul> <li><p>2+ years of direct people management experience </p></li> <li><p>Demonstrated ability to manage complex projects, set priorities, and meet deadlines in a high-compliance environment </p></li> <li><p>A "people first" mindset, with experience in career development, performance coaching, and fostering a strong team culture </p></li> <li><p>Strong understanding of Kubernetes clusters at scale, with experience in operating and developing large-scale clusters </p></li> <li><p>Proficient in at least one programming language (Python, Golang, or Java) with the ability to review code and ensure quality </p></li> <li><p>Experience in optimizing code bases for performance and scale </p></li> <li><p>Prior experience with AWS services such as EKS, Lambda, RDS, and DynamoDB </p></li> <li><p>Familiarity with Infrastructure as Code (IaC) principles and tools like Terraform, Ansible, or CloudFormation </p></li> <li><p>Experience in managing SLOs to track the reliability of core services </p></li> <li><p>Experience managing cloud infrastructure in a high-compliance environment (e.g., financial, healthcare) </p></li> <li><p>Familiarity with cost optimization strategies for cloud infrastructure </p></li> </ul><p><b>Travel Requirements & Working Conditions</b> </p><ul> <li><p>Up to 10% travel for team jams and internal developer conference </p></li> <li><p>Reliable internet access for any period of time working remotely, not in a Workiva office </p></li> </ul><p><b>How You'll Be Rewarded</b> </p> Salary range in the US: $120,000.00 - $204,000.00<p> A discretionary bonus typically paid annually </p><p> Restricted Stock Units granted at time of hire </p><p> 401(k) match and comprehensive employee benefits package </p><p>The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors. </p><p>Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression genetic information, marital status, citizenship status or any other protected characteristic.We strongly encourage and welcome people from historically marginalized groups to apply. </p><p>Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com. <br></p> <p>Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards. </p><p><i>Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.</i> </p>#LI-HS1

Workiva Business Intelligence Interview Guide

Overview

Workiva Business Intelligence Salary

Workiva Business Intelligence Interview Process

Workiva Business Intelligence Interview Questions

Workiva Business Intelligence Jobs