The common responsibilities for this position include working in an AGILE manner with stakeholders to define problem statements, collecting data, and building analytical models. Developing data applications, infrastructure, and pipelines is essential, along with designing experiments and bridging the gap between business needs and data science capabilities. The role also involves measuring and reporting on business outcomes, designing automated reporting dashboards, and participating in data policies and processes. Supporting data lifecycle management and applying a data governance framework while focusing on improving data quality are also key responsibilities. Additionally, the position entails gathering and interpreting business and user requirements for data analytic projects, delivering design and implementation of data visualization and dashboard building, and troubleshooting issues on dashboards/reports. The analyst will create reports and interactive dashboards, collaborate with IT teams for business intelligence solutions development, and leverage innovations in Cloud, Big Data, and AI technologies.
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