Engineer, Data Analytics

Overview
Direct message the job poster from ST Engineering
ST Engineering is a global technology, defence and engineering group with a diverse portfolio of businesses across the aerospace, smart city, defence and public security segments. The Group harnesses technology and innovation to solve real-world problems, enabling a more secure and sustainable world. Headquartered in Singapore, it has operations spanning Asia, Europe, the Middle East and the U.S., serving customers in more than 100 countries. ST Engineering reported a revenue of over $11 billion in 2024 and ranks among the largest companies listed on the Singapore Exchange. It is a component stock of MSCI Singapore, FTSE Straits Times Index and Dow Jones Best-in-Class Asia Pacific Index.
About Commercial Aerospace
ST Engineering’s Commercial Aerospace business is a world-class Original Equipment Manufacturer (OEM) and Maintenance, Repair and Overhaul (MRO) service provider with proven solutions for practically every stage of an aircraft life cycle. With 50 years of reputable track record in aviation, backed by a highly experienced team of engineers and technicians across facilities in Asia Pacific, the U.S. and Europe, we know what it takes to keep the world flying safely.
Purpose of the Job
This role is primarily responsible for the design, development, test, implementation and post-implementation maintenance of the company’s data warehouse and analytics projects to deliver high value and actionable insights to aid stakeholders’ decision making to improve businesses.
Key Job Accountabilities
Create value through developing data analytics solutions that supports the company’s global objectives as well as internal business requirements
Proactively work with internal stakeholders to solicit data requirements to support business needs
Study complicate problems, provide source-to-target mappings and information specification documents for data sets
Perform data preparation of datasets that fulfils the project requirements
Work with both internal stakeholders and external vendors to design and implement appropriate data stores like databases, data warehouse and/or data lake to store data efficiently, keep the data up-to-date and serviceable for external systems or end-users to query
Utilise statistical tools to interpret complex data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts
Analyse and recommend specific types of data that can be used to derive features and rule-based approach for business applications
Develop, create best-practice reports based on data mining, analysis and visualization implement
Design and maintain data systems and databases; this includes fixing coding errors and other data-related problems
Perform complete life cycle data generation and translate data that effectively communicate trends, patterns, and predictions into critical and coherent information for executive leadership
Support system testing and evaluation activities including onsite acceptance testing to validate and improve the models and algorithms
Required Experience and Qualifications
Candidate should have an analytical mind, attention to details for large datasets, and inclination for problem-solving
Able to generate comprehensive technical writings including queries, reports and presentations
Programming skills in at least one statistical programming language preferably Python, knowledge in Statistics and machine learning techniques.
Experience in one of the visualization tools, preferably Qlik, or any other relevant analytic tools
A team player with excellent verbal and written communication skills to communicate with the wider business and functional groups
Seniority level
Executive
Employment type
Full-time
Job function
Information Technology and Engineering
Aviation and Aerospace Component Manufacturing and Engineering Services
#J-18808-Ljbffr