Data analysts (DA) and data scientists (DS) contribute to the growth of companies and services through hypothesis examination, aggregation, and verification based on data accumulated over time. Their jobs are often described to be lonely.
Although engineering literacy is a prerequisite for these operations, the requirements for drawing out the insight to lead a project to success are not always clearly defined, and the individual skillsets of DA and DS as well as their experience in the field can have a major impact.
For this reason, building up a framework for efficient cross-organizational analysis is difficult, and this is a common problem faced by all DA and DS groups.
In this session, managers from the Data Analysis Departments at Yahoo! JAPAN and LINE will discuss a variety of organization operation topics, touching on the differences in culture and approach between these departments at the two companies.
This presentation will help you understand the appeal of data analysis work, which has a quality to it that differs from engineering.
