Okay, I've searched for Data Analyst roles in Spokane, WA with 5+ years of experience, particularly in the construction industry, for full-time positions, and within the salary range of $106,700 to$140,000. I found 23 positions that match your criteria.

Sure. Here's the analysis:

Job Analysis:

The Data Analyst - Construction role at Swinerton is fundamentally about harnessing data to drive informed business decisions within the commercial construction sector. This position requires the individual to collect, process, and analyze data from diverse sources, ensuring its accuracy and integrity—a task vital for making strategic recommendations. The main responsibilities include transforming raw data into actionable insights, performing statistical analyses to identify trends, and creating detailed reports that will be communicated to stakeholders. Given Swinerton's commitment to quality, attention to detail in statistical methodology and data visualization will be critical. The candidate will likely encounter challenges such as managing datasets that may be incomplete or inconsistent, necessitating robust problem-solving skills and effective collaboration with cross-functional teams. Success in this role will hinge on the ability to not only analyze data but also to effectively communicate insights, tailor visualizations to meet user needs, and build relationships across the organization. Within the first 6-12 months, an exemplary Data Analyst would demonstrate impact by improving data-driven decision-making processes and fostering strong stakeholder engagement.

Company Analysis:

Swinerton, established in 1888, is a well-respected player in the commercial construction industry, operating across the United States. As a 100% employee-owned company, it places a strong emphasis on integrity, collaboration, and quality, which directly influences the workplace culture and expectations for its employees. The company appears to value innovative problem-solving and a commitment to safety and service, making this an exciting environment for someone who is proactive and enjoys tackling challenges head-on. This Data Analyst role is likely positioned within a team that collaborates closely with multiple departments, including operations, project management, and financial planning, giving the analyst substantial visibility and a chance to influence outcomes. Given the fast-evolving landscape of construction management and the reliance on data for operational efficiency, this role is strategically aligned with Swinerton's goals of enhancing decision-making and improving service delivery. The company is not merely filling a position; rather, it is investing in a role that will help shape its analytical capabilities and support its growth objectives.

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

• Behavioral Questions:
• 1. Tell me about a time when your data analysis uncovered a key insight that surprised your team. What was the insight, and how did you present it?
• 2. Describe a situation where you had to collaborate with cross-functional teams to achieve a project goal. What challenges did you face, and how did you overcome them?
• 3. Can you share a difficult statistical analysis project you worked on? What were the obstacles, and how did you ensure the analysis was accurate?
• 4. Give an example of a time when your communication skills helped clarify a complex data issue to a non-technical stakeholder.
• Technical/Role-Specific Questions:
• 5. How would you approach cleaning and transforming raw construction data for analysis? Can you provide a specific example?
• 6. What statistical methods do you commonly use to identify trends in large datasets, and why do you prefer them?
• 7. Describe your experience with data visualization tools like Power BI or Tableau. How do you tailor your visualizations for different audiences?
• 8. Can you explain how you would use SQL to retrieve specific data for a project? Please provide a sample query.
• Situational Questions:
• 9. Imagine you are tasked to analyze a dataset that is missing key information. How would you handle the situation to still provide value to the stakeholders?
• 10. If a stakeholder requests a real-time dashboard for KPIs, but the necessary data integration is not in place, how would you approach the situation?
• Company Fit/Motivation Questions:
• 11. Why do you want to work for Swinerton specifically, and how do you see your values aligning with our company culture?
• 12. What do you think is the most exciting aspect of working in the commercial construction industry from a data analysis perspective?
• Questions for the Candidate to Ask the Interviewer:
• 13. How does Swinerton envision the role of data analysis evolving over the next few years within the company?
• 14. Can you describe the typical career trajectory for someone in the Data Analyst position at Swinerton?
• 15. What are some of the biggest challenges the data analysis team is currently facing in supporting project teams?