As a member of the Analytics and AI team, the incumbent will collaborate with cross-functional teams to analyze, design, and implement analytics/data science solutions and innovations that will enhance the tertiary\'s business operations and performance.
Key Responsibilities
Engage business stakeholders to identify, design, and implement Data Analytics (DA)/Data Science (DS) projects, including problem scoping, use case formulation, data sourcing, development, and maintenance of analytical models. Examples of DA/DS projects in the tertiary includes Learning analytics for the Analytics for Administration, including students\xe2\x80\x99 administration.
Support the development of tertiary\xe2\x80\x99s data strategy and in-house analytics capabilities.
Provide guidance to business units on the application of DA/DS (including solution) to help drive business initiatives e.g., improving the students\xe2\x80\x99 journey and tertiary operations.
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\xe2\x80\x99 end-to-end journey in the tertiary.
Apply analytical techniques such as data mining, statistical analysis, machine learning etc., and build predictive models to address business challenges and enhance administration.
Work closely with relevant teams to productionize analytical models, including tracking and improving its performance.
Familiar with setting up end-to-end processing platform to automate data processing, dashboarding and machine learning will be an added advantage.
Key Decisions
Participate in the design and implementation of DA/DS projects of various scales.
Participate in the identification, evaluation, and recommendation of DA/DS solutions for the tertiary.
Participate in the identification of potential use cases for analytics/data science.
Evaluate applications and tools for data analytics, mining and machine learning.
WORKING HOURS
Mondays to Thursdays: 8.30am to 5.45pm
Fridays: 8.30am to 5.15pm (with 45 mins \xe2\x80\x93 1 hour lunch breaks)
Service not required on Saturdays, Sundays and gazetted public holidays.
JOB REQUIREMENTS
Minimally 3-5 years of in-depth experience in implementing end-to-end analytics/data science solutions. Renumeration and appointment grades will be based on experience.
Experience in data Extraction / Transformation / Load using SQL, Excel or any other applications.
Experience in using data analytical and visualization tools such as Qlik Sense, Power BI, Python.
Experience in using data mining tool such as Orange or any other applications.
Ability to work collaboratively across teams and quickly breakdown problems and find innovative solutions.
Experience with analytical modelling, predictive analytics, AI and machine learning would be an added advantage.
Experience with using Microsoft Azure AI Platform to deploy automated data processing and machine learning would be an added advantage.
Degree in Mathematics, Statistics, Operations Research, Computer Science, Engineering or other related discipline. Poly graduates with relevant experiences are welcome to apply.
Specialization in Data Analytics or Data Science will be an added advantage.
Ability to communicate data-driven findings and ideas to technical and non-technical stakeholders.
Knowledge in deploying solutions in a cloud environment, and in implementing DA/DS solutions will be an added advantage.
Good communication, written and presentation skills.
Good analytical, problem solving and critical thinking skills and meticulous attitude.
Ability to work independently or in a team with minimal supervision.
Interested applicants, please email detailed to
SERVICE CONNECTIONS HR CONSULTANCY PTE LTD
Email resume to - servcon@singnet.com.sg / recruit@serviceconnections.com.sg Call for more details please call at 6333 0052 Mondays to Fridays 9.00am - 5.00pm 111 North Bridge Road #07-30 Peninsula Plaza Singapore 179098