Engineer, Data Analytics

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 business

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
• Practical experience with the use of statistical packages including SQL, XML, Javascript, with the ability to learn others to analyse data and generate useful reports, is an advantage
• A team player with excellent verbal and written communication skills to communicate with the wider business and functional groups