The common responsibilities for this position include analyzing and interpreting complex datasets, collaborating with teams and vendors to address data-related issues, defining business requirements, developing statistical models and machine learning algorithms, and creating reports and visualizations to communicate insights effectively. Responsibilities also encompass mining, analyzing, and modeling large structured and unstructured data, translating business problems into analytics-led solutions, managing business applications, and evaluating results. The role involves conducting in-depth analyses, exploring data, identifying root causes of business issues, and providing actionable, data-driven insights. Additionally, the position requires designing and developing reports, supporting ad-hoc data analysis, converting unstructured data into meaningful information, collecting and structuring data, and proposing visualizations. It includes managing complex datasets, building and maintaining user-friendly dashboards, setting up automated reports, and performing project management to ensure timely project completion. Collaboration with internal business units, the marketing team, and IT is essential for implementing campaigns and addressing technical issues. The responsibilities further extend to developing documentation, conducting system integration testing, and supporting the generation of standard reports.
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