Job Description

Job Scope:
xc2xb7 Engage business stakeholders to identify, design, and implement Automation/Analytics/AI solutions, including problem scoping, use case formulation, data sourcing, development, and maintenance of analytical models. The solutions are applicable across client's entity for various department administrations; improve efficiency, enable collaborations, derive insights, etc.
xc2xb7 Support the development of in-house analytics capabilities.
xc2xb7 Conduct data-driven analysis to drive process improvements or draw out actionable insights, including designing and building data visualization to support management decision making, and aid learning outcomes, as well as enhancing the experience of students end-to-end journey.
xc2xb7 Apply analytical techniques such as data mining, statistical analysis, machine learning and build predictive models to address business challenges; support the client's Learning ecosystems and administrations.
xc2xb7 Work closely with relevant teams to productionize analytical models, including tracking and improving its performance.
xc2xb7 Familiar with setting up end-to-end processing platform to automate data processing, dashboarding and machine learning will be an added advantage.
Working Arrangement:
Salary: $6000-6200/Month
Location: West (1 day WFH Arrangement)
Working Hours:
Contract Duration: 1 Year
Job Requirements:
xc2xb7 Minimally 3-5 years of in-depth experience in implementing end-to-end Automation/Analytics/AI solutions.
xc2xb7 Experience in data Extraction / Transformation / Load using SQL, Excel or any other applications.
xc2xb7 Experience in using data analytical and visualization tools such as Microsoft Power BI, Qlik Sense, Python.
xc2xb7 Experience with analytical modelling, predictive analytics, AI and machine learning.
xc2xb7 Experience with using Microsoft Power Automate and Office Scripts to deploy automation to orchestrate business processes.
xc2xb7 Experience with using Microsoft Azure AI Platform to deploy automated data processing and machine learning would be an added advantage.
EDUCATIONAL QUALIFICATIONS
xc2xb7 Degree in Computer Science, Engineering, Business, Mathematics, Operations Research, or other related disciplines. Polytechnic graduates with relevant experience are welcome to apply.
FUNCTIONAL COMPETENCIES
xc2xb7 Ability to work collaboratively across teams to analyze problems and design solutions.
xc2xb7 Ability to communicate data-driven findings and ideas to technical and non-technical stakeholders.
xc2xb7 Ability to work independently or in a team with minimal supervision.
CORE COMPETENCIES
xc2xb7 Good communication, written and presentation skills.
xc2xb7 Good analytical, problem solving and critical thinking skills and meticulous attitude.
EA License No.: 96C4864 (Shanice Lim Xin Ni)
Reg. No.: R22110485