Okay, I've searched for full-time Data Analyst roles in Annapolis, MD, that offer remote work options, require 4+ years of experience, and list SQL and Tableau as key skills. I have found 27 positions for you.

Sure. Here's the analysis:

Job Analysis:

This Data Analyst role at Cardinal Health, accessed via Lensa, fundamentally centers on harnessing complex data to drive patient-centric and business-driven insights within the specialty pharmaceutical and hub services sector. The candidate is expected to bridge technical data analytics capabilities with a strong consultative mindset, working closely with business stakeholders to translate nuanced healthcare and operational data into actionable decisions. The complexity arises from managing large, intricate datasets—often related to rare disease patient analytics, call center operations, and patient/hub services—requiring proficiency in SQL, Tableau, and advanced Excel to manipulate and visualize data effectively. The role demands a self-motivated individual who can work independently, solve multifaceted problems innovatively, and occasionally mentor junior colleagues. Success in this position means delivering timely, accurate analytics solutions that anticipate business needs, improve patient access pathways, and ultimately support Cardinal Health’s mission of facilitating life-changing therapies. The client-facing aspect and minimal supervision highlight the need for excellent communication and the ability to navigate ambiguity and cross-functional collaboration within a healthcare environment. The performance expectation likely includes operationalizing analytics that improve program and patient outcomes while maintaining data integrity and adhering to healthcare compliance standards.

Company Analysis:

Cardinal Health operates as a critical player in the healthcare supply chain and specialty pharmaceutical services, positioning itself as a market enabler rather than just a traditional distributor. Its focus on specialty and rare disease therapies, integrated hub services, and patient support exemplifies a mission-driven organization that values innovation, technology integration, and patient outcomes. The partnership with Lensa for this hire reflects an innovative approach to recruitment, leveraging technology to attract data talent aligned with these goals. Cardinal Health’s culture, inferred from its emphasis on diversity, inclusion, and flexible remote work, suggests a supportive, adaptive environment with a strong ethical and patient-first foundation. The role’s placement within the Data & Analytics Function indicates exposure to cross-functional collaboration with business, pharma manufacturers, and possibly payer stakeholders, offering visibility and strategic influence without necessarily being a leadership position initially. For a candidate, thriving here means aligning with the company’s patient-centric mission, embracing data-driven innovation, and navigating the complexities of healthcare data and regulations. Long-term potential includes growth in advanced analytics leadership, influencing patient access programs, and shaping the company’s competitive edge via intelligent data solutions.

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

• Behavioral: Tell me about a time when you had to analyze a complex dataset with minimal direction. How did you approach the challenge, and what was the outcome?
• Behavioral: Describe an experience where you had to communicate technical data insights to non-technical stakeholders. How did you ensure your message was clear and actionable?
• Behavioral: Give an example of when you identified a problem in a business process through data analysis and recommended a solution. What impact did your recommendation have?
• Behavioral: How have you managed conflicting priorities or requirements from multiple teams when working on an analytics project?
• Technical: Walk me through how you would design a SQL query to extract and analyze patient adherence data from multiple sources.
• Technical: What are some advanced Excel techniques you have used to automate or simplify large data analyses, including the use of Macros?
• Technical: How do you approach creating effective Tableau dashboards that balance detailed insights and usability for business users?
• Technical: Explain your experience working with data aggregators or integrating disparate data feeds to produce unified analytics.
• Situational: Imagine you discover discrepancies between different data sources when preparing a report for a key stakeholder. How would you handle this situation?
• Situational: If a client expresses dissatisfaction with the analytics insights provided, believing they lack actionable recommendations, how would you address their concerns and improve the deliverable?
• Situational: Suppose you are asked to support a new rare disease program with limited historical data. How would you begin your exploratory analysis and identify meaningful trends?
• Company Fit/Motivation: What about Cardinal Health’s mission and approach to patient support resonates with your personal values and career goals?
• Company Fit/Motivation: How do you see your data analytics skills contributing to improving patient access and outcomes within our specialty pharma services?
• Company Fit/Motivation: Why did you choose to apply through Lensa, and how do you foresee leveraging innovative hiring platforms aligning with your work style?
• Questions for Interviewer: Can you describe how the Data & Analytics team collaborates with clinical and commercial teams to drive patient support programs’ success?
• Questions for Interviewer: What are the biggest challenges currently facing your analytics function in supporting rare disease patient programs?
• Questions for Interviewer: How does Cardinal Health support continuous learning and professional development for data analysts working remotely?