The role holder will focus on using Data & Analytics to drive business activities and outcomes that improve or transform :
Business decision process
The role holder will have these activities :
Support one or more key activities described under Impact on the Business .
Contribute to assigned missions amongst the tribe(s).
Act as part of tribe operating across onshore and offshore units.
The role holder will be successful provided he / she :
Clearly understands the data and analytical requirements of the mission; even better if he / she understands the business context and requirements.
Proactively asks questions to improve his / her knowledge of the product, process, and business context.
Actively seeks to acquire or improve skills associated with his / her designated Discipline.
Actively seeks to learn how to conduct his / her work via the cloud platform and kits.
Possess 1 to 4 years’ experience with specialization in one or more of these skills : business analytics, communications operations, contact planning, data science, data management, AI / ML engineering, cloud platform engineering, data governance, data visualization.
Good problem solving skills.
Strong communicator; Good interpersonal skills. Demonstrated experience in forming advisory’ relationships with senior managers.
Highly self-motivated, self-starter.
Strong team player; able to work members of different skills and experiences. Comfortable to operate in a complex matrix structure with multiple stakeholders.
Technical knowledge in one or more of : customer segmentation, digital marketing, data science, portfolio analytics, use of open-
source data in analyses, data engineering.
Having these attributes would be advantageous :
Strong technical experience in process and analysis of large amount of data using one of these : Python, R, SQL or SAS.
Proficiency in Artificial Intelligence / Machine Learning algorithms; hands-on use of DataRobot or Sagemaker.
Having Bachelor degree in a one of these preferred disciplines : mathematics, computer science, data engineering, data science, analytics, statistics, econometrics, management information system, operations research