Knowledge Analyst - Travel, Logistics & Infrastructure Solutions

McKinsey & Company, Inc.; Düsseldorf; Vor Ort; EUR 50.000 - 90.000; Vollzeit

Zusammenfassung

An established industry player is seeking a Knowledge Analyst to join their dynamic TLIS team. In this role, you will leverage your analytical skills and coding capabilities to support clients in the transportation, logistics, and infrastructure sectors. Your contributions will help improve operations and enable strategic decision-making through advanced problem-solving and collaboration with a diverse team of experts. This position offers exceptional training and mentorship, ensuring you grow your expertise in a fast-paced environment. If you are passionate about data-driven insights and eager to make an impact, this opportunity is perfect for you.

Qualifikationen

• University degree in quantitative fields such as engineering or economics.
• Strong coding and analytical skills, with experience in data science as a plus.

Aufgaben

• Provide analytical support for TLIS tools and synthesize findings into reports.
• Collaborate with experts to solve client problems and improve operations.

Kenntnisse

Coding capabilities

Analytical skills

Data science

Geospatial analytics

Problem-solving skills

Communication skills

Ausbildung

University degree in engineering

University degree in economics

University degree in statistics

University degree in physics

University degree in software technology

Jobbeschreibung

Your Growth

You will be based in our Dusseldorf/Madrid/Lisbon office, joining the Travel, Logistics & Infrastructure Solutions (TLIS) team part of McKinsey’s Transportation, Logistics, and Infrastructure practice, delivering technology-enabled consulting services and solutions for our clients.

TLIS combines the most advanced digital tools and techniques along the transport value chain. We enable the deployment and development of a portfolio of McKinsey proprietary solutions required to successfully tackle and solve complex challenges. Some example solutions include demand modelling, operational benchmarking tools, and network optimization solutions.

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 TLIS, you will help clients in the TLI 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 TLIS tools and analyses. You will gather information to develop these tools 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, data scientists, IT, and software specialists 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 engineering, economics, statistics, physics, software technology, or other disciplines with a quantitative and programming focus
• Strong coding capabilities and analytics aptitude; data science, geospatial analytics, and experience in modelling large datasets are a plus
• Experience (internships and/or full-time) in the TLI industry, such as ports, shipping, and logistics, is a plus
• 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
• Ability to effectively communicate complex ideas in English, both verbally and in writing; fluency in German is a plus

Please review the additional requirements regarding essential job functions of McKinsey colleagues at https://www.mckinsey.com/careers/essential-functions-client-service.