Your Growth
You will be based in our Dusseldorf, Madrid, or London office, joining the Energy Solutions team within McKinsey’s Global Energy & Materials practice.
As a global leader in energy intelligence and analytics, Energy Solutions leverages distinctive market perspectives, cutting-edge data and technology to empower organizations across the entire energy value chain. Our team of world-class consultants, analysts and data scientists transform data into actionable insights, enabling clients to make well-informed strategic, tactical, and operational decisions. We help organizations capture opportunities, manage risks, and enhance performance.
Your Impact
As a Knowledge Analyst with Energy Solutions, you will help clients in the energy sector and beyond to improve operations and make strategic decisions for the future.
In this role, you will provide daily problem-solving, structuring, modeling, and analytical support for our Energy Solutions tools and analyses. You will gather information to develop these tools/benchmarks and synthesize findings into McKinsey-formatted products, such as complex models, summary reports, and standalone presentations for internal and external audiences.
You will collaborate with other experts to solve client problems, deepening your knowledge and refining your analytical and thought-partnership skills.
You’ll have the opportunity to gain new skills and build on the strengths you bring to the firm. You will receive exceptional training as well as frequent coaching and mentoring from colleagues.
Your qualifications and skills
- University degree in management, engineering, economics or other discipline with a quantitative focus
- Experience, internships and/or full-time, in the energy sector (oil & gas, power, sustainable fuels, conventional power plants, solar grids, etc.) or the industrial sector (chemical engineering, process engineering, systems optimization, etc.)
- Strong interest in energy transition, energy markets, industrial processes and sustainability topics (such as decarbonization, CCS, DAC etc.)
- Proven ability to collaborate effectively in a team environment and engage with individuals at all organizational levels
- Capacity to excel in a fast-paced, results-driven team setting, demonstrating a steep learning curve and a strong commitment to coaching and development
- Advanced problem-solving skills with a strong aptitude for working with numbers and quantitative models
- Experience with modeling capability tools such as Python, R, or VBA are a plus
- Proficiency in Excel and familiarity with Tableau
- Ability to effectively communicate complex ideas in English and local office language, both verbally and in writing
