The common responsibilities for this position include analyzing and interpreting large and complex data sets to extract actionable insights and support business decisions; developing and maintaining data models, reports, and dashboards; collaborating with cross-functional teams to understand data needs and provide tailored analytical solutions; performing data validation, cleansing, and transformation to ensure data accuracy; utilizing advanced statistical techniques and machine learning algorithms for data interpretation; conducting user acceptance tests of in-house-developed applications; establishing and maintaining data platforms for analytics and reporting; and creating visualizations and presentations to communicate findings to stakeholders. Additionally, the role involves optimizing workflows, managing data pipelines, and assisting in the development of data management practices and analytic workflows.
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