Analytics & Cognitive Consultant

2022-10-17 | po-020384

Company description

One of the biggest consulting firms in the world provides audit, tax, consulting, enterprise risk and financial advisory services with more than 244,400 professionals globally.

Responsibilities

Business content as business becomes more complex, we provide consulting services to meet the needs of rebuilding internal data infrastructure, strengthening analysis systems, and collaborating with advanced technology businesses such as AI.
Not only the implementation part is entrusted by the customer, but also in collaboration with the consulting team that is not closed only to IT, what kind of technology should be considered to promote the business, and what kind of system is used for that purpose.
You will interact with the client from a management perspective, such as whether you should approach the project.
We will adopt an approach that delves into the actualization of client issues in a wide range of fields, such as providing training if there is a need from the accepting client side, and after clarifying the issues, we will adopt the solution.

Requirements

Knowledge about data strategy / process / architecture.
Knowledge / experience of data utilization strategy in a company, organization to achieve it, data governance, data management process, architecture concept planning.
BI / Data Lake / DWH / Metadata management / ETL introduction experience.
BI (Tableau, QlikSense, Power BI, etc.) consulting.
Data Lake, DWH, metadata management, ETL, etc. consulting.
Analytics / AI / IoT knowledge Experience.
Analytics-related consulting or Analytics-related system development experience.
Data science (statistics, machine learning, etc.) knowledge and data analysis programming experience such as Python, R.
AI-related consulting or AI-related system development
Has experience in consulting data strategy, data management, BI, Analytics, AI, etc. at a consulting company.
BI at an IT vendor , Data Lake, DWH, data management, ETL, AI (Watson, etc.) construction experience and qualifications as a consultant.
Data analysis infrastructure construction experience on the cloud (AWS, Azure, GCP) Has the qualifications of a consultant).