Availity Business Intelligence Interview Questions + Guide in 2025

Availity is a pioneering healthcare technology company dedicated to reshaping the future of healthcare by providing innovative solutions that enhance patient care.

The Business Intelligence role at Availity focuses on designing and implementing enterprise data solutions that enable robust analytics and decision-making capabilities. Key responsibilities include collaborating with product owners and development teams to translate business and analytic requirements into data pipeline designs, as well as architecting and delivering data solutions that support complex business intelligence and machine learning applications. Ideal candidates will possess over ten years of experience in business intelligence, strong domain expertise in healthcare data, and a solid understanding of cloud-based data technologies. Additionally, proficiency with enterprise BI tools and data engineering technologies is essential. Successful individuals in this role will demonstrate excellent communication and collaboration skills, a proactive approach to problem-solving, and a commitment to data governance and quality standards, aligning with Availity’s mission to create meaningful connections in the healthcare ecosystem.

This guide will help you prepare for your interview by providing insights into the expectations and nuances of the Business Intelligence role at Availity, ensuring you can effectively articulate your relevant experience and align your approach with the company's values.

The interview process for a Business Intelligence role at Availity is structured to assess both technical skills and cultural fit within the organization. It typically consists of several stages, each designed to evaluate different aspects of a candidate's qualifications and compatibility with the company's mission and values.

1. Initial Contact

The process begins with an initial contact from the recruiter, who will review your resume and reach out to schedule a phone interview. This step is crucial as it sets the tone for the rest of the process. The recruiter will discuss your background, the role, and the company culture, while also gauging your interest and fit for the position.

2. Technical Assessment

Following the initial contact, candidates may be required to complete a technical assessment. This assessment often includes questions related to data design, coding, and SQL, allowing the interviewers to evaluate your technical proficiency and problem-solving abilities. The assessment may be untimed, giving you the opportunity to demonstrate your skills at your own pace.

3. Video Interviews

After successfully completing the technical assessment, candidates typically participate in a series of video interviews. These interviews may include one-on-one sessions with team members, managers, and possibly a panel interview. The focus during these interviews is on both technical and behavioral questions, where you will be asked to provide examples of past experiences and how they relate to the role. Expect to discuss your approach to data solutions, collaboration with stakeholders, and your understanding of healthcare data standards.

4. Final Interview

The final stage often involves a video interview with higher-level management, such as the VP of Engineering. This interview is designed to assess your strategic thinking, leadership potential, and alignment with Availity's mission. You may be asked to present a project you have worked on or discuss your vision for data architecture and analytics within the healthcare sector.

5. Offer and Onboarding

If you successfully navigate the interview process, you will receive an offer. The communication throughout the process is generally prompt, with the recruiter keeping you informed about your status and next steps. Once you accept the offer, the onboarding process will begin, where you will be introduced to the team and the company's culture.

As you prepare for your interviews, consider the types of questions that may arise during each stage of the process.

Here are some tips to help you excel in your interview.

Understand the Company Culture

Availity prides itself on being a "Great Place to Work" and emphasizes a culture of inclusivity and continuous learning. Familiarize yourself with their diversity and inclusion initiatives, such as "AvaiLadies" and "VetAvaility." During your interview, express your alignment with these values and how you can contribute to fostering a positive work environment. This will demonstrate that you are not only a fit for the role but also for the company culture.

Prepare for Technical Assessments

Expect a technical assessment that may include coding challenges and questions related to SQL and data architecture. Brush up on your knowledge of cloud-based data technologies, particularly AWS products like Redshift and S3, as well as enterprise BI tools such as Tableau and PowerBI. Practice articulating your thought process while solving problems, as interviewers appreciate candidates who can explain their reasoning clearly.

Showcase Problem-Solving Skills

Be prepared to discuss specific challenges you've faced in previous roles and how you approached solving them. Availity values analytical skills and the ability to identify and mitigate risks associated with data quality and compliance. Use the STAR (Situation, Task, Action, Result) method to structure your responses, ensuring you highlight your contributions and the impact of your solutions.

Engage with the Interview Panel

Interviews at Availity often involve multiple team members, including developers and managers. Take the opportunity to engage with each panelist by asking insightful questions about their work and the team dynamics. This not only shows your interest in the role but also helps you gauge if the team is a good fit for you.

Communicate Clearly and Confidently

Strong communication skills are essential for the Business Intelligence role, as you will be collaborating with various stakeholders. Practice articulating your thoughts clearly and confidently, especially when discussing technical concepts. Be honest about your strengths and areas for improvement, as the interviewers appreciate transparency and a willingness to learn.

Follow Up Professionally

After your interview, send a thank-you email to express your appreciation for the opportunity and reiterate your enthusiasm for the role. This not only reflects your professionalism but also keeps you top of mind for the interviewers as they make their decisions.

By following these tips, you can present yourself as a well-prepared and culturally aligned candidate, increasing your chances of success in the interview process at Availity. Good luck!

In this section, we’ll review the various interview questions that might be asked during a Business Intelligence interview at Availity. The interview process will likely assess your technical skills, problem-solving abilities, and understanding of healthcare data, as well as your capacity to collaborate with various stakeholders. Be prepared to discuss your experience with data architecture, analytics, and the tools relevant to the role.

Technical Skills

1. Can you explain your experience with cloud-based data technologies, particularly AWS products?

Understanding cloud technologies is crucial for this role, especially given Availity's focus on scalable data solutions.

How to Answer

Discuss specific AWS services you have used, how you implemented them in your projects, and the outcomes of those implementations.

Example

“I have extensive experience with AWS, particularly with Redshift for data warehousing and S3 for data storage. In my previous role, I migrated our on-premises data warehouse to Redshift, which improved our query performance by 40% and reduced costs by leveraging S3 for data lake storage.”

2. Describe a data pipeline you have designed and the challenges you faced.

This question assesses your practical experience in data engineering and your problem-solving skills.

How to Answer

Outline the architecture of the pipeline, the technologies used, and the specific challenges you encountered, along with how you overcame them.

Example

“I designed a data pipeline using Apache Spark and AWS Glue to process real-time data from various sources. One challenge was ensuring data quality; I implemented validation checks at each stage of the pipeline, which significantly reduced errors in our analytics.”

3. How do you ensure data quality and compliance in your projects?

Data quality is critical in healthcare, and Availity will want to know your approach to maintaining it.

How to Answer

Discuss your strategies for data validation, governance, and any tools you use to monitor data quality.

Example

“I implement a multi-layered approach to data quality, including automated validation scripts and regular audits. I also collaborate with data stewards to ensure compliance with healthcare regulations, which has helped maintain a 98% accuracy rate in our datasets.”

4. What BI tools have you used, and how have you leveraged them to drive business insights?

Your familiarity with BI tools is essential for this role, as you will be expected to create dashboards and reports.

How to Answer

Mention specific tools, your experience with them, and how they contributed to decision-making in your previous roles.

Example

“I have worked extensively with Tableau and Power BI to create interactive dashboards. In my last position, I developed a dashboard that visualized patient flow data, which helped the management team identify bottlenecks and improve operational efficiency by 20%.”

5. Can you walk us through a project where you collaborated with cross-functional teams?

Collaboration is key at Availity, and they will want to see how you work with others.

How to Answer

Describe a specific project, the teams involved, and your role in facilitating communication and collaboration.

Example

“I led a project that required input from the IT, clinical, and finance teams. I organized regular meetings to ensure everyone was aligned on goals and timelines, which resulted in a successful implementation of a new reporting system that met the needs of all stakeholders.”

Problem-Solving and Analytical Skills

1. Give an example of a complex problem you encountered in your work and how you solved it.

This question evaluates your analytical thinking and problem-solving abilities.

How to Answer

Choose a specific problem, explain the context, and detail the steps you took to resolve it.

Example

“In a previous role, we faced discrepancies in our patient data due to inconsistent data entry practices. I initiated a root cause analysis, identified the key issues, and implemented a standardized data entry protocol, which reduced discrepancies by 75%.”

2. What process do you follow when starting to work on a skill or language you’re not familiar with?

This question assesses your willingness to learn and adapt.

How to Answer

Discuss your approach to learning new technologies or skills, including resources you use and how you apply what you learn.

Example

“When I need to learn a new technology, I start with online courses and documentation. I then apply my knowledge through small projects or contributions to existing ones, which helps solidify my understanding and allows me to ask questions in a practical context.”

3. How do you handle situations when you are stuck on a particular problem?

Your ability to navigate challenges is crucial in a fast-paced environment.

How to Answer

Explain your problem-solving process and any resources you utilize when facing difficulties.

Example

“When I encounter a challenging problem, I first take a step back to reassess the situation. I often consult documentation or seek advice from colleagues. If I’m still stuck, I break the problem down into smaller parts, which often leads to a solution.”

4. Describe a time when you had to make a decision with incomplete information.

This question tests your judgment and decision-making skills.

How to Answer

Provide a specific example, focusing on how you assessed the risks and made a decision.

Example

“During a project, we had to decide on a data storage solution without complete cost analysis. I gathered the best available data, consulted with the finance team, and made a recommendation based on potential ROI, which ultimately proved to be a sound decision.”

5. Explain a project you have worked on that required significant data analysis.

This question allows you to showcase your analytical skills and experience.

How to Answer

Detail the project, the data analysis techniques you used, and the impact of your findings.

Example

“I worked on a project analyzing patient readmission rates. I used statistical methods to identify trends and factors contributing to readmissions. My analysis led to the development of targeted interventions that reduced readmission rates by 15% over six months.”