The common responsibilities for this position include participating in data mapping, quality checks, and health checks; collaborating with stakeholders and data engineering teams to document business requirements related to data processing, analysis, and reporting; ensuring data accuracy, completeness, and consistency through validation and quality assurance procedures; assisting in defining and implementing data integration processes, including ETL workflows; analyzing and understanding data requirements, structures, and sources; gathering and documenting business requirements; analyzing data to identify trends, risks, and opportunities; developing and maintaining business process models and documentation; facilitating workshops and meetings to communicate findings and recommendations; supporting project management activities; monitoring and evaluating the effectiveness of implemented changes; managing project schedules; conducting user acceptance testing; and liaising with various departments and stakeholders.
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