Okay, I've searched for Senior Data Analyst roles available remotely in the healthcare sector, requiring 3-5 years of experience, a strong knowledge of SQL and Databricks, and that include tuition assistance. I found 112 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Senior Risk Adjustment Data Analyst role at Sentara Health is fundamentally focused on optimizing revenue management through effective data analysis and predictive modeling within the context of healthcare risk adjustment. This position involves leveraging diverse datasets, including claims and pharmacy data, to identify business challenges and create solutions tailored to enhance premium revenue. Key responsibilities encompass collaboration with various internal teams and external vendors, establishing analytics frameworks, and developing dashboards for data visualization. Given the nuanced nature of healthcare data, the analyst must utilize advanced technical skills, notably in SQL and Databricks, to effectively communicate complex processes and insights to non-technical stakeholders. Success in this role is marked by efficient process automation, seamless report generation for regulatory and business use, and active participation in cross-departmental projects aimed at improving risk adjustment strategies. Candidates must navigate regulatory complexities related to CMS and HHS, requiring not just technical acumen but also a strong consultative approach to problem-solving.

Company Analysis:

Sentara Health, with a sprawling network of hospitals and health plans, operates within the highly competitive and regulated healthcare industry. As one of the top not-for-profit health systems in the U.S., Sentara places significant emphasis on clinical quality and innovative healthcare delivery, setting the stage for its data analysts to have a profound impact on financial outcomes. The company culture reflects a commitment to community wellness and employee empowerment, evidenced by various accolades for being a great employer and its focus on diversity and inclusion. The position of Senior Risk Adjustment Data Analyst is situated within the Revenue Management team, emphasizing collaboration and visibility, particularly in how data-driven decisions influence broader strategic initiatives. This role is particularly strategic as Sentara navigates complex reimbursement models and aims to leverage analytics to sustain growth and enhance both patient and provider experiences. Thus, a successful candidate will not only contribute to immediate financial outcomes but will also align with Sentara's overarching mission of improving health every day, making it essential to embody the company's values in their work.

Absolutely. Here are some mock interview questions that could come up:

• Tell me about a time when you had to analyze complex data to solve a business challenge. What was your approach, and what were the outcomes?
• Describe a situation where you had to explain a complex technical process to a non-technical audience. How did you ensure they understood?
• Can you share an experience where you had to collaborate with multiple stakeholders on a project? What challenges did you face, and how did you overcome them?
• How would you prioritize tasks when faced with multiple deadlines related to data reporting and analysis?
• Given your experience, how would you approach stress testing a predictive model for risk adjustment?
• What steps would you take to automate an existing report, and what tools would you utilize?
• Walk me through how you would set up a data dashboard for monitoring risk adjustment metrics. What key indicators would you include?
• Imagine you are faced with conflicting data from internal and external sources regarding risk adjustment revenues. How would you resolve this issue?
• Why are you interested in working at Sentara Health specifically, and how does this role align with your career goals?
• What aspects of Sentara Health's mission resonate with you, and how do you see yourself contributing to it?
• What do you think are the greatest challenges facing health systems today in terms of risk adjustment?
• If you were to lead a project aimed at improving risk adjustment data quality, what steps would you take?
• What questions do you have about the data sources that Sentara utilizes in its risk adjustment processes?
• How does Sentara’s emphasis on innovation influence your approach to data analysis and problem-solving?