Preparation should focus on demonstrating both technical mastery and a deep understanding of the healthcare data ecosystem. Your goal is to show that you are not just a developer, but a strategic partner who understands the "why" behind the data.

Role-related Knowledge – You must be prepared to discuss your technical proficiency in TSQL and data modeling in great detail. The interviewers are looking for evidence that you can handle large, complex clinical datasets and optimize performance at scale.

Communication & Collaboration – Because you will be working closely with internal stakeholders to define requirements, your ability to explain complex technical concepts in simple terms is critical. Be ready to provide specific examples of how you have supported Junior Data Analysts or interns.

Problem-Solving Approach – When faced with a technical roadblock, describe your methodology for investigation and mitigation. The interviewers value candidates who take a structured, logical approach to troubleshooting and CI/CD deployment.

The interview process at Progenyhealth is designed to evaluate both your technical depth and your alignment with our clinical mission. You can expect a rigorous assessment that balances technical screening with behavioral interviews, ensuring that you have the expertise to manage our data environment and the communication skills to thrive in a collaborative, remote-first team.

This visual timeline illustrates the typical progression from initial screening to technical evaluation. You should use this to pace your preparation, ensuring you are ready to discuss both your high-level architectural experience and specific, granular technical challenges early in the process.

Clinical Data Fluency

We operate in a highly regulated, sensitive environment. You will be evaluated on your history of handling clinical data and your understanding of the unique challenges this presents, such as data privacy and the necessity for high-precision reporting.

Be ready to go over:

• Handling Protected Health Information (PHI) and data compliance.
• Developing content specifically for clinical datasets.
• Data dictionary management and metadata layers.

Example scenarios:

• "Explain a time you identified an anomaly in clinical data. How did you investigate it?"
• "How do you ensure your reporting models remain accurate when clinical definitions change?"

Technical Architecture & ETL

This is the core of the role. You must demonstrate that you can build and maintain the systems that power our insights.

Be ready to go over:

• SQL Server performance tuning and optimization.
• Designing and scaling data warehousing architectures.
• Managing CI/CD pipelines for analytics work.

Example scenarios:

• "Describe a complex ETL pipeline you built from scratch."
• "What steps do you take to optimize a slow-performing dashboard?"

As a Data Analyst, your primary responsibility is the end-to-end delivery of reporting solutions. You will spend your time meeting with stakeholders to define requirements, translating those into UAT plans, and then executing the development using TSQL and our BI tools.

You will also be a key player in our technical operations, ensuring that the reporting layer is stable and performant. This involves investigating performance bottlenecks, managing metadata, and deploying your work through our CI/CD models in Azure DevOps. Beyond individual contribution, you will act as a resource for Junior Data Analysts and interns, helping to elevate the technical standard of the entire team.

A successful candidate will possess a blend of formal education and significant, hands-on experience in the healthcare sector. We look for candidates who can hit the ground running with our specific technical stack.

• Must-have skills: A U.S. Bachelor’s degree in a quantitative field, 3 years of hands-on experience with clinical data, and 3 years of advanced TSQL usage in database management and ETL orchestration.
• Nice-to-have skills: Experience with Azure DevOps, advanced certification in business intelligence tools, and experience mentoring junior team members.

Q: Is this role fully remote? A: Yes, this position is 100% work-from-home, available in any U.S. state.

Q: How difficult are the technical interviews? A: The difficulty is average, but the expectation for precision is high. You should be prepared to discuss your technical work with high granularity.

Q: What is the most common reason for rejection? A: Candidates often struggle when they cannot clearly explain their past work with tools like MS Access and Tableau, or when they fail to demonstrate a deep understanding of clinical data sets during the initial phone screen.

• Structure your answers: Use the STAR method (Situation, Task, Action, Result) to keep your responses focused and impactful.
• Be ready for the claims test: The interview may include questions regarding your understanding of healthcare claims data; brush up on common terminology and metrics.
• Highlight your mentorship: If you have experience supporting interns or junior analysts, bring this up early, as it is a key expectation for this role.

The Data Analyst role at Progenyhealth is a unique opportunity to apply technical rigor to a mission-driven environment. By mastering the technical requirements—specifically your TSQL and ETL pipeline expertise—and preparing clear, concise examples of your stakeholder management, you will be well-positioned to succeed.

The salary range provided reflects the scope and seniority of this data-centric role. Candidates should interpret this range as a reflection of the high impact and technical depth required to maintain Progenyhealth's data infrastructure. Continue your preparation by focusing on the core evaluation areas outlined here, and approach your interviews with the confidence that you possess the skills necessary to drive our clinical reporting strategy forward.