Data & Analytics Engineer - Learning Technologies Devt [ITE Headquarters]
At a glance
Mid-level Data Analysis & BI role at Sggovterp. ITE-HQ (Headquarters) · full-time.
Pay not stated Data Analysis & BI salary
dataroles summary, based on the employer's posting.
What you'll do
- Build scripts that move learning and assessment data into analytics software, preparing and reshaping it along the way
- Develop clustering and predictive models, then use statistics and machine learning to examine learning data
- Turn faculty needs into data requirements, insights and dashboards for different college stakeholder groups
- Help lecturers interpret student learning patterns, and train them to use dashboards and analytics methods
What you bring
- Credentials in computer science, information technology or an equivalent area
- Knowledge of BI tools, data modelling software and programming or scripting for model development and data handling
- Understanding of prompt engineering and generative AI language models
Who this fits
This role suits someone who can work with teaching and learning faculty and explain analytics to lecturers and staff. You’ll use Power BI for dashboards, with data and dashboards potentially housed in enterprise data lake platforms. Educational technology experience and project management are preferred, rather than stated as hard requirements.
From the employer
[What the role is]
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.[What you will be working on]
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:
- Support analysis of learning and leaner profile data to help lecturers and stakeholders gain insights into students’ learning behavior during term time
- Provide training and consultancy to lecturers on how to use the dashboards
- Conduct knowledge transfer on data analytics and modelling to staff
[What we are looking for]
- Skills and knowledge in business intelligence tools, data modelling software and programming or scripting languages that support model development, manipulation, aggregation and visualization.
- Skills and knowledge in the application of prompt engineering and Generative AI Large Language Models (LLMs)
- Suitable credentials in Computer Science, Information Technology or equivalent
- Practical experiences in data analytics, statistics and machine learning models in the area of Educational Technologies for teaching and learning would be an advantage.
- Those with project management experience would be preferred.
- Excellent interpersonal and communication skills, both verbal and written
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