Okay, I've searched for Data Analyst roles in Minneapolis requiring 5+ years of experience, with expertise in SQL, focusing on operational analytics and dashboard creation. I found 112 positions that match your criteria.

Sure. Here's the analysis:

Job Analysis:

The Data Analyst role at Ryan Companies is fundamentally focused on transforming data into meaningful insights that support operational excellence within the Mission Critical sector. The person in this position is tasked with internal data mining and process improvement, which requires a critical understanding of both operational challenges and the nuances of data flow within a construction and real estate context. By partnering with Mission Critical leaders, the analyst will identify trends, improve data collection processes, and synthesize financial and operational data to enhance decision-making and risk management. Success in this role hinges on developing a deep familiarity with the company’s diverse data needs, creating dashboards, and ensuring effective communication among stakeholders. This role not only demands technical proficiency in data visualization and querying tools like SQL and Microsoft Power BI but also strong analytical thinking and clear communication skills to convey complex data-driven narratives. Candidates will face challenges including navigating ambiguity, resolving discrepancies among different data sources, and fostering collaboration across various teams. Ultimately, the ideal candidate will contribute to strategic solutions that advance Ryan's goals, touching on aspects like project performance and operational efficiency.

Company Analysis:

Ryan Companies operates in the commercial real estate sector, emphasizing a design-build approach deeply focused on the needs of its clients and the communities impacted by their projects. As a national leader, the company has cultivated a reputation for delivering exceptional value beyond financial metrics—prioritizing the stories and motivations behind each project. The company’s core values—Safety, Integrity, Respect, Stewardship, Family, Excellence, and Fun—indicatively shape its culture, suggesting an environment where collaboration and innovation are encouraged, and employee well-being is prioritized. Within this structure, the Data Analyst role is positioned as both a technical and cross-functional contributor, requiring the analyst to navigate various business units and promote data-driven decision-making. This role serves the strategic alignment of Ryan's larger goals around operational excellence, predictive analytics, and continuous improvement, marking it as critical to not just immediate operational needs but also to long-term company growth. The collaborative nature of the environment suggests that a candidate successful in this role would thrive on building relationships and demonstrating adaptability in response to the company's evolving data requirements.

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

• Behavioral Questions:
• 1. Tell me about a time when you had to analyze complex data to inform a business decision. What tools did you use, and what was the outcome?
• 2. Describe a situation where you faced ambiguity in a project. How did you approach it?
• 3. Can you give an example of how you collaborated with cross-functional teams to achieve a goal?
• 4. Share an experience where you implemented a significant change in a data collection process. What challenges did you encounter?
• Technical/Role-Specific Questions:
• 1. How would you approach consolidating multiple operational dashboards to improve reporting efficiency?
• 2. Can you walk me through how you would use SQL to analyze a specific set of operational data?
• 3. What experience do you have with Google Cloud Platform and how would you leverage it in your analysis?
• 4. Explain how you would create predictive models to support decision-making in construction projects.
• Situational Questions:
• 1. Imagine you are tasked with improving the visibility of accounts receivable data. What steps would you take?
• 2. If you identified a significant trend in safety data that required immediate action, how would you communicate this to your team?
• Company Fit/Motivation Questions:
• 1. Why are you interested in working at Ryan Companies specifically, and how do you see your values aligning with our company’s culture?
• 2. How do you plan to stay updated on market analytics trends that affect our industry and our data-driven initiatives?
• Questions for the Candidate to Ask the Interviewer:
• 1. What tools and systems are currently in place for data analysis and visualization at Ryan?
• 2. How does Ryan Companies envision the role of the Data Analyst evolving as business needs change?