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Public Service Division seeks a Data & Analytics Engineer to partner with teaching and learning faculty across colleges. You will design, develop and implement analytics solutions for data from student activities and assessments.
You will build data pipelines, models and visual dashboards, likely in an enterprise data lake, using Power BI to deliver insights to lecturers and administrators. Strong BI, ML and scripting skills are essential.
As Data & Analytics Engineer, you will partner teaching and learning faculty from the colleges to design, develop and implement analytics solutions based on structured and unstructured data that are generated as a result of students’ participation in their learning activities as well as assessments.
You are expected to build scripts to extract, prepare, transform and load data into an analytics software; build AI models with clustering and predictive capabilities.You will work closely with our team to gather user requirement and translate them into data requirement and insights.You will explore data, design data models, apply statistics, machine learning models for descriptive and diagnostic analysis, create, test, and implement visual dashboards that are relevant to different groups of college stakeholders. These dataset and dashboards may reside in our enterprise data lake and platforms, using Power BI as the visualization tool which is rendered to our end users.
Other responsibilities include: