Okay, I've searched for internship roles in Santa Barbara, CA related to power congestion and grid modeling, requiring skills in Python and Tableau, suitable for candidates with a Bachelor's degree, and offering full-time summer 2025 schedules. I have found 12 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Power Congestion Intern role at ENGIE is fundamentally designed to immerse a candidate in the practical and analytical dynamics of electricity grid management with a specific focus on power congestion and price forecasting amid energy transition. The position requires active engagement in grid modeling while interpreting and visualizing complex datasets to support market decision-making. The need for proficiency in tools like Tableau, SQL, Python, and Excel with VBA indicates a strong emphasis on data manipulation, automation, and creating actionable insights from large-scale and multifaceted energy market data. The role demands an understanding of both macro (supply-demand fundamentals) and micro-level (transmission outages, bids, facility limits) market drivers, showcasing a need to think holistically about power system constraints and their market impacts. Responsibilities such as participating in ISO meetings and collaborating with IT teams underscore the expectation for proactive communication, cross-functional teamwork, and commercial awareness. Success in this role means quickly developing technical and market expertise, delivering accurate and insightful analyses that inform price forecasting and congestion management strategies, and demonstrating agility in handling both routine data tasks and more ambiguous, strategic evaluation challenges during the internship period.

Company Analysis:

ENGIE stands as a global leader in low-carbon energy and energy management, deeply committed to driving the energy transition through renewable and efficient solutions. Positioned as both a market leader and innovator, ENGIE leverages extensive expertise across energy supply, asset management, and risk management, enabling this internship to be nestled in a high-impact, forward-thinking environment. The division hosting this role, GEMS, operates with a global outlook paired with local market responsiveness, implying that the intern will gain exposure to sophisticated market mechanisms and diverse stakeholders. ENGIE's culture appears inclusive, mission-driven, and safety-conscious, emphasizing ethical conduct and employee empowerment, which suggests that a candidate who is adaptable, values diversity, and prioritizes collaboration will thrive. The internship’s hybrid model and its integration into teams that span IT, market analysis, and commercial decision-making reflect a work environment that values agility and multidisciplinary coordination. Strategically, this internship contributes to ENGIE’s objective of enhancing market analytics and operational excellence in power congestion management, indicating the candidate will be part of the company's larger push to optimize its portfolio amid evolving energy markets and regulatory landscapes.

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

• Behavioral: Tell me about a time when you had to analyze a large dataset to draw meaningful conclusions under tight deadlines. How did you prioritize your tasks and ensure accuracy?
• Behavioral: Describe an instance where you collaborated with a cross-functional team to solve a complex problem. What approach did you take to coordinate efforts?
• Behavioral: Share an example of when you identified a gap in an existing model or process. How did you communicate your findings and what was the outcome?
• Technical/Role-Specific: How would you approach building a Tableau dashboard to visualize power congestion impacts using multiple data sources?
• Technical/Role-Specific: Explain your experience with Python or R for data analysis. How would you use these tools to clean and analyze wholesale electricity market data?
• Technical/Role-Specific: Describe how you would assess the commercial impact of transmission outages on power price forecasting.
• Technical/Role-Specific: What statistical techniques would you apply to analyze market data and identify congestion drivers?
• Situational: Imagine you notice a discrepancy in market data that affects congestion modeling. How would you investigate and address this issue?
• Situational: If key data inputs for your analysis become unavailable shortly before a deadline, how would you adapt your workflow and communicate with stakeholders?
• Situational: Suppose during an ISO meeting you hear differing opinions on grid model assumptions. How would you participate to ensure productive outcomes?
• Company Fit/Motivation: What interests you most about ENGIE’s mission to lead the zero-carbon transition, and how does this align with your career goals?
• Company Fit/Motivation: How do you see this internship helping you develop skills and knowledge relevant to the evolving energy markets?
• Company Fit/Motivation: ENGIE values safety and ethics strongly. Can you describe a situation where you had to uphold these principles in a work or academic setting?
• Candidate Questions: Can you describe how interns typically interact with the broader GEMS teams and leadership during their projects?
• Candidate Questions: What are the main challenges ENGIE foresees in power congestion management in the coming years, and how can this role contribute?
• Candidate Questions: How does ENGIE support continued learning and professional development for interns and early-career employees?