Okay, I've searched for Lead Data Analyst roles in Pullman, WA, specifically in the manufacturing sector, requiring 2+ years of experience, with a focus on strong analytical skills and full-time positions. I've found 27 relevant positions for you.

Sure. Here's the analysis:

Job Analysis:

The Lead Data Analyst at SEL is fundamentally tasked with transforming raw data into actionable insights that directly support the company's mission to enhance the safety, reliability, and efficiency of power systems globally. This requires not only strong statistical acumen but also an understanding of the energy sector's unique challenges, such as managing data integrity to prevent outages and ensuring cybersecurity. Primary responsibilities include analyzing data using established methods, maintaining metrics, and improving data sources—each of these helps in refining operational processes and supporting decision-making across the organization. Candidates will likely face challenges related to data inconsistencies and the need for cross-functional collaboration, as their work impacts multiple teams aligned toward common company goals. Success in this role will be measured by timely delivery of insights that drive operational improvements and enhance product quality, essential for SEL's commitment to customer satisfaction and innovation.

Company Analysis:

SEL occupies a pivotal position in the energy sector, specializing in technology that protects and optimizes electric power systems. As a respected leader with a robust legacy, the company emphasizes innovation and quality, showcased by its long-standing warranty and commitment to customer service. The company culture seems to value technical expertise, continuous improvement, and collaboration, which translates to a dynamic work environment where team players can thrive. This role likely exists within a diverse and possibly cross-functional team, where the Lead Data Analyst's contributions will be highly visible to leadership and directly tied to SEL's goals of modernizing energy infrastructure. Overall, this position is strategically aligned with SEL's growth initiatives, as the insights generated will support the development of cutting-edge solutions that address the evolving needs of the global power grid.

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

• Can you describe a time when you analyzed a large dataset to extract actionable insights? What was your approach?
• Tell me about a challenging data inconsistency you encountered in a previous role. How did you resolve it?
• How do you prioritize tasks when managing multiple projects with tight deadlines?
• Can you provide an example of a successful cross-functional collaboration you were part of? What role did you play?
• How would you approach the development of new metrics for assessing product performance within the power infrastructure?
• What statistical methods are you most comfortable with, and how have you applied them in real-world scenarios?
• Describe your experience with MS Excel and any advanced features you've utilized for data analysis.
• Imagine you have identified a significant trend in your data analysis that contradicts previous assumptions. How would you present this finding to the team?
• Why are you interested in working at SEL specifically, given its position in the electric power industry?
• How do SEL's values align with your personal and professional ethics and values?
• What do you believe are the top three challenges facing the energy sector today, and how could data analysis help address them?
• What questions do you have about the company culture at SEL?
• Can you elaborate on how you would seek out alternative data sources and improve existing data for a specific project?