Data Engineer/ - Emory, United States - RMA CONSULTANTS PTE LTD

Description

Job Description

Our Client:
It is a global, interdisciplinary, and research-intensive university founded on excellence in science and technology.


Job Responsibilities:

As a member of the Analytics and AI team, the incumbent will collaborate with cross-functional teams to analyse, design, and implement analytics/data science solutions and innovations that will enhance the University's business operations and performance.

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 University includes learning analytics for the University's Learn ecosystems, Analytics for Administration, including students' administration.

Support the development of the University's 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' journey and University 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' end-to-end journey in the University.

Apply analytical techniques such as data mining, statistical analysis, machine learning etc., and build predictive models to address business challenges, support the University's learning ecosystems, 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.

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 University.

Participate in the identification of potential use cases for analytics/data science.

Evaluate applications and tools for data analytics, mining and machine learning.


Job Requirements:
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.

Minimally 3-5 years of in-depth experience in implementing end-to-end analytics/data science solutions. Remuneration 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, and 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.

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.


Working Hours:
Mondays to Thursdays: 8:30 AM to 5:45 PM

Fridays: 8:30 AM to 5:15 PM

Lunch Break: 45 Mins


Working Location:
Nanyang Drive

If your experience and skills align with the requirement, please share your updated CV in word format at

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stating your current, expected salary and availability to take it forward.
To expedite processing, you can lodge your application directly at

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or

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All Curriculum Vitaes will be treated with the strictest confidentiality. We regret to inform that only shortlisted candidates will be notified.

Manisha Sharma

RMA Consultants Pte Ltd

EA License No 93C4403

EA Regn No R


Recommended Skills:
Data Analysis

Data Science

Data Sourcing

Microsoft Azure

Python


SQL
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