The common responsibilities for this position include guiding the design of data plans and collaborating with stakeholders; developing data quality standards and control plans; conducting data quality management and establishing evaluation systems; creating advanced analytics using AI and machine learning to enhance data management processes; building predictive models for business decision-making; managing and supervising third-party vendors and consultants for data analytics projects; performing ad hoc analysis on large datasets using various tools to derive actionable insights; and managing digital transformation projects, including service delivery, testing, and post-production support. Additional duties involve supporting system development by liaising with end-users to define requirements, managing AI integration into IT systems, and overseeing end-to-end project lifecycles while ensuring adherence to best practices and ethical standards.
The percentages next to each skill reflect the sector’s demands in these respective skills. E.g., 30% means this skill has been listed in 30% of all the job postings in this sector.
The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.
Job classifications that have advertised a position
Academic degree required as indicated by all job postings
Job subclassifications that have advertised a position