Knowledge Analyst - Energy Solutions

About the role

As a Knowledge Analyst with Energy Solutions, 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.

Responsibilities

• Provide daily problem-solving, structuring, modeling, and analytical support for our Energy Solutions tools and analyses.
• 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.
• Collaborate with other experts to solve client problems, deepening your knowledge and refining your analytical and thought-partnership skills.

Requirements

• Undergraduate degree in engineering, economics, science, or other degree with a quantitative focus.
• 1+ years’ experience (internships and/or full-time) and interest in the energy industry, such as oil & gas, power, sustainable fuels, chemicals, decarbonization, and commodity trading.
• Experience with modeling capability tools such as Python or R. Experience with power model software, such as Pypsa, Plexos, or Aurora is a plus.
• Proficiency in Excel and familiarity with Tableau.
• Advanced problem-solving skills with a strong aptitude for working with numbers and quantitative models.
• 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.
• Ability to effectively communicate complex ideas in English, both verbally and in writing.

Qualifications

• Undergraduate degree in engineering, economics, science, or other degree with a quantitative focus.

Skills

• Modeling capability tools such as Python or R.
• Power model software, such as Pypsa, Plexos, or Aurora.
• Excel proficiency and familiarity with Tableau.
• Advanced problem-solving skills with a strong aptitude for working with numbers and quantitative models.
• Collaboration and teamwork skills.
• Effective communication skills, both verbal and written.

Benefits

• Comprehensive benefits package including world-class benefits.

Pay

• Competitive salary based on location, experience, and skills.

Schedule

• Based in our Boston or Houston office.