The common responsibilities for this position include creating and maintaining data pipeline architecture, assembling complex data sets, automating processes, optimizing data delivery, building infrastructure for data extraction, developing analytics tools, collaborating with teams on data-related issues, and enhancing data systems functionality. Additional duties involve designing and implementing ETL processes, integrating data from various sources, ensuring data quality and compliance, and creating dashboards and reports. The role also requires monitoring project processes, conducting business and system analysis, and providing guidance on data architecture while staying updated on industry trends and innovations.
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