Aeon Search Consulting Pte Ltd – Data Analyst (Engineering)

Company
Aeon Search Consulting Pte Ltd
aeon-search.com
Designation
Data Analyst (Engineering)
Date Listed
02 Mar 2025
Job Type
Entry Level / Junior Executive, Experienced / Senior Executive
Free/Proj
Job Period
Immediate Start, Permanent
Profession
Engineering
Industry
Consultancy
Location Name
Raffles Place, Raffles Place MRT Station (NS26/EW14), Singapore
Work from Home
Address
5 Raffles Pl, Singapore 048618
Map
Allowance / Remuneration
$4,550 - 6,500 monthly
Company Profile

Our Client an organization who combines global expertise with deep local insights to help clients accelerate sustainable and inclusive growth 

Job Description

Data Analyst (Engineering) / Up to $6k / 1 Yr Contract

  • Work with teams to support and contribute to the factory of the future (Industry 4.0) vision.
  • Perform research on manufacturing and supply chain concepts and processes for cross-sector industrial applications. You will be involved in the technical planning and writing as well as execution and delivery of development projects for global industry members.
  • An opportunity to work through big data problems which will range from data mining to data cleaning.
  • Help build a concept of the model to support decision making through various data analytic techniques.
  • Partner with consultants to understand knowledge needs and provide content knowledge in your area of expertise. 
  • Drive analyses to provide unique insights and you will support the development and maintenance of capabilities, including assets, knowledge, tools, fact packs, case studies and primers 

QUALIFICATIONS

  • Undergraduate degree; Master’s degree is a plus
  • 2-5 years of relevant work experience( Manufacturing / Automation / Supply Chain etc)
  • Basic understanding of research techniques, information sources, and statistical analysis/analytic techniques
  • Solid problem-solving capabilities, intellectual curiosity and effective prioritization
  • Strong proficiency in Excel, Word, PowerPoint, and relevant analytics/statistical packages
  • Knowledgeable in advanced analytics, automation, IIoT, and lean manufacturing principles
  • Experience in working with IIoT platforms, application programming, and database management 
Application Instructions

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