JOIN OUR TEAMWELCOME TO CFI GROUP
Our strength comes from our diversity. Workers in CFI Group speak over 15 languages in offices located on 4 continents. CFI Group offers a challenging and dynamic work environment with numerous opportunities for training and growth in Italy and abroad.

what we do
CFI’s mission:
- Measure intangible assets such as customer and employee satisfaction (considered as economic assets), using advanced methodologies and measurement tools
- Help clients grow their assets and maximize their value in terms of economic return
How do we do it? Learn more by visiting the Services section, while on the Methodologies page you can read what the scientific foundation of our work is.
what it meansto work in CFI Group
It means…
Working for a wide range of clients, from large retailers to service companies to government agencies.
It means…
Help our clients solve complex problems on a daily basis and contribute their talents to the growth of CFI Group.
It means…
Making a difference for the companies that come to us, their customers, and their employees.
It means…
Working with intelligent, ambitious, and pleasant people who like to take on new challenges and confront high expectations.
ROLESCFI Group
ACCOUNTS
Associate Account Manager
They possess basic skills and knowledge of quantitative subjects and research methodology. A bachelor’s degree in statistics or socio-economic subjects and a good knowledge of English are usually required. Curiosity for research, aptitude for teamwork, and a sense of accuracy complete their profile.
Account Manager
Business Director
They have negotiation skills and possess the required skills to relate with top management of companies. They participate in the definition of corporate strategy.
They must demonstrate decision-making abilities in business organization and leadership skills. They’re responsible for research innovation and new product development within the area of specialization.
EDP/ANALYST
Research Analyst e Data Analyst
They have statistical skills, particularly in bivariate and multivariate analysis.
A bachelor’s degree in statistics or equivalent and a thorough knowledge of popular statistical computer packages is required.