The common responsibilities for this position include managing the end-to-end analytics pipeline, analyzing data using statistical models, developing predictive models with programming languages, communicating insights to stakeholders, researching AI and ML techniques, exploring data sources, collaborating with teams, designing data frameworks, mentoring team members, and ensuring data quality and compliance. The role also involves driving data analytics initiatives, applying appropriate analytics models and tools, developing and implementing databases and data collection systems, and maintaining data governance policies to ensure data security.
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