Okay, I've searched for Analytics Engineer roles focused on Power BI in Indianapolis for full-time positions, with a minimum salary of $80,000. There are currently 35 positions available in the healthcare industry that match your criteria.

Sure. Here's the analysis:

Job Analysis:

The Analyst role within the Analytics Engineering and Visualization Hub at Lilly centers on leveraging data to fuel decision-making across the finance domain. Fundamentally, this person is hired to create polished, user-friendly dashboards and robust semantic models that provide actionable insights for finance stakeholders. The responsibilities extend beyond just building visual displays; they require an intricate collaboration with data engineers and business partners to understand specific business needs. The ability to optimize performance and ensure data accuracy using tools like Power BI and Microsoft Fabric will be crucial in overcoming challenges such as managing diverse data sources and ensuring the integrity of insights delivered. Success in this position will look like establishing a trusted suite of data products that not just enhance analytics capabilities but also promote a culture of data literacy and self-service analytics within the organization.

Company Analysis:

Lilly operates in the pharmaceutical sector as a leader in healthcare innovation, positioning itself to address significant global health challenges through science-driven solutions. This environment suggests a company culture that values innovation, dedication, and collaboration, which will be critical for a role that is tasked with building meaningful data insights. The emphasis on transforming data into healing solutions underlines the company's mission-oriented approach. As part of a new team within Finance Digital Transformation, this role engages in both strategic data initiatives and hands-on technical work, sitting at an intersection of finance, technology, and business acumen. The visibility between this role and finance leadership could provide opportunities for growth and influence, as the person will develop dashboards that inform key business decisions that directly impact the company’s mission.

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

• Tell me about a time when you had to collaborate with multiple stakeholders to deliver a complex data product. What challenges did you face?
• Can you describe a situation where your insights from a dashboard significantly impacted a financial decision?
• Give an example of how you have used Power BI to solve a specific problem. What was your approach?
• How do you ensure data accuracy and relevance in the visualizations you create for business stakeholders?
• How would you approach building a semantic model in Power BI for a team unfamiliar with data visualization?
• Can you discuss your experience with Microsoft Fabric? How do you utilize its tools for data transformation?
• Imagine you encounter a situation where data from various sources is inconsistent. How would you reconcile this to deliver a reliable report?
• If tasked with designing a dashboard for financial forecasting, what key metrics would you prioritize and why?
• What interests you about working at Lilly and how do you see your work aligning with our mission to make life better for people?
• How do you handle the pressure of tight deadlines while ensuring the quality of the data products you produce?
• Why do you think data literacy is important within a finance team, and how would you promote it among colleagues?
• What are your thoughts on the current trends in healthcare analytics and their implications for Lilly's operations?
• What questions do you have about our finance digital transformation goals or the future direction of the Analytics Engineering and Visualization Hub?
• How has your previous experience prepared you for the responsibilities of this Analyst role, particularly in understanding business needs?