Descrição da Vaga
Who You'll Work With
You will work with our Collections Lab team in Sao Paulo. Collections Lab is part of McKinsey's New Ventures.
Established in 2016, McKinsey Collections Lab is a new venture that leverages decades of McKinsey’s experience in collections strategy and processes. Because of its great potential to deliver new forms of impact for our clients, Collections Lab is one of the firm’s priority investments for Latin America.
McKinsey New Ventures fosters innovation driven by analytics, design thinking, mobile and social by developing new products/services and integrating them into our client work. It is helping to shift our model toward asset-based consulting and is a foundation for –and expands our investment in –our entrepreneurial culture. Through innovative software as a service solutions, strategic acquisitions, and a vibrant ecosystem of alliances, we are redefining what it means to work with McKinsey.
As one of the fastest-growing parts of our firm, New Ventures has more than 1,500 dedicated professionals (including more than 800 analysts and data scientists) and we’re hiring more mathematicians, data scientists, designers, software engineers, product managers, client development managers and general managers.
What You'll Do
You will work with analysis and construction of business database, dashboards and simulators for decision-making for consulting teams.
You will transform insights obtained through data analysis into business models. You'll work with consultants, clients or internal teams to prepare data analysis and models that help solve clients problems and deliver significant measurable impact.
You’ll gain new skills and build on the strengths you bring to the firm. You will constructively discuss your findings in collaboration with the team and while always looking for the best solution. Working on projects and exchanging experiences with your colleagues means you will face new intellectual challenges on a daily basis, while continuously building your methodological knowledge and skills.
- Currently in your last year of undergraduate studies; ideally in Engineering, Statistics, Computer Science, Information System, Systems Analysis, or Exact Sciences
- Advanced Excel skills
- Knowledge in Data Warehouse / Business Intelligence (BI) projects
- Knowledge in Modeling / Integration of relational and dimensional data
- Knowledge in database and SQL language
- Knowledge of Power BI
- Knowledge in Python (differential)
- Knowledge in statistics
- Advanced English (desired)
- Corporate Finance