Okay, I've searched for Senior Data Analyst roles that are remote, require 5+ years of SQL experience, are in the healthcare industry, offer full-time employment, and have a salary of $90,000 or more. I have found 152 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Senior Data Analyst role at UnitedHealth Group, working remotely under Optum, is fundamentally about transforming complex healthcare and operational data into clear, actionable insights that directly influence strategic decisions and improve patient health outcomes. This position requires a deep technical command of SQL, ETL processes, and modern data visualization tools like Tableau and Power BI to synthesize heterogeneous data sources into trustworthy reports and dashboards. Beyond technical proficiency, the role demands strong problem-solving skills to diagnose systemic data quality issues and implement sustainable fixes, highlighting the importance of analytical rigor and quality assurance routines integrated throughout the data lifecycle. The analyst will navigate a multi-stakeholder environment, liaising between technical teams, business partners, and clinical stakeholders to ensure alignment between data outputs and evolving business needs, particularly as they relate to meeting 4+ Star quality benchmarks in healthcare delivery. Managing multiple concurrent projects and proactively anticipating end-user needs reflect a role requiring autonomy, strategic foresight, and clear communication. Success means delivering timely, accurate analytics that not only confirm performance but also uncover improvement opportunities that improve health equity and care quality. The role’s complexity is underscored by the requirement to balance operational excellence in routine reporting with innovative problem solving in data pipelines, making adaptability and continuous learning essential aspects of thriving in this role.

Company Analysis:

UnitedHealth Group, through its Optum division, sits at the convergence of healthcare delivery and technology innovation, positioning itself as a global leader committed to improving population health with cutting-edge data strategies. The company’s mission-driven focus on health equity and quality care demands employees who are not only technically skilled but aligned with broader societal impacts—bringing purpose and engagement to their work. The telecommuting flexibility suggests a progressive, trust-based culture valuing autonomy and remote collaboration. UnitedHealth Group’s size and scope indicate a complex, matrixed organization where this Senior Data Analyst will act as a critical node connecting diverse functional teams—from clinical to data engineering—imbuing the role with significant stakeholder engagement and visibility. The firm’s emphasis on continuous development, rigorous data governance, and cross-functional teamwork reveals an environment where collaboration and precision are prized. Because the company is actively addressing systemic disparities and quality improvements, the analyst's role extends beyond routine reporting to being a proactive agent of change. For a candidate, thriving here means embracing both technical mastery and a spirited commitment to the company’s mission, thriving in a fast-paced but mission-aligned culture, and navigating an environment where business impacts are very tangible and socially consequential.

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

• Behavioral: Tell me about a time when you identified a systemic data quality issue. How did you diagnose the root cause and what steps did you take to ensure it was resolved sustainably?
• Behavioral: Describe a situation where you had to manage multiple high-priority projects simultaneously. How did you prioritize and communicate your progress to stakeholders?
• Behavioral: Give an example of how you have worked across teams such as business, clinical, and technical groups. How did you ensure alignment and understanding across diverse stakeholders?
• Behavioral: Can you share an experience where your proactive curiosity led to uncovering an important insight that impacted business strategy?
• Technical: Walk me through your approach to designing and optimizing SQL queries for large healthcare datasets. What techniques do you use to ensure both performance and accuracy?
• Technical: How do you incorporate data quality monitoring and validation into your reporting workflows? Provide examples of tools or methods you have used.
• Technical: Describe your experience with ETL tools like Alteryx or similar platforms. How have you leveraged them to automate and enhance data processing pipelines?
• Technical: Explain how you would develop a Tableau or Power BI dashboard to track healthcare quality metrics aligned with 4+ Star goals. What design principles guide you?
• Situational: Imagine you discover a discrepancy between data reported by two different clinical systems that impacts a key performance indicator. How would you approach resolving it?
• Situational: If given ambiguous or incomplete reporting requirements from stakeholders, how would you proceed to ensure the final product meets business needs?
• Situational: How would you handle a situation where a newly implemented data solution inadvertently introduces errors affecting operational decisions?
• Company Fit: Why are you interested in working at UnitedHealth Group and Optum within the healthcare analytics space specifically?
• Company Fit: How do you see your personal values aligning with UnitedHealth Group’s mission to improve health equity and access?
• Company Fit: UnitedHealth Group emphasizes diversity, inclusion, and collaboration. How have you demonstrated these qualities in your past roles?
• Questions for Interviewer: What are the biggest challenges your data analytics team is currently facing in supporting healthcare quality improvement?
• Questions for Interviewer: How does UnitedHealth Group support ongoing learning and career development for data professionals?
• Questions for Interviewer: Can you describe how this role interacts with other teams such as clinical operations, IT, and product management?