107 Job Postings
2023-09-06 - 2024-09-06
The common responsibilities for this position include managing data warehousing and analytics projects, acquiring and maintaining data from various sources, collaborating with IT and user departments, translating business issues into action plans using analytical techniques, developing and implementing machine learning solutions, presenting findings to stakeholders, staying updated on data analytics trends, and utilizing strong SQL and data analytical skills. The role also involves designing data schemas, ETL processes, and data visualization, delivering data analysis, generating customer insights, supporting customer growth, executing end-to-end customer campaigns, and building and maintaining data pipelines. Additionally, responsibilities include performing data cleansing, conducting statistical analysis, and preparing data for advanced analytics projects.
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.
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