Job Description

The Smart Enterprise Platform Strategic Engineering Centre (SEP SEC) is one of five SECs within the Group Engineering Centre (GEC) in ST Engineering. Its mission is to deepen Data Analytics (DA) capab The Smart Enterprise Platform Strategic Engineering Centre (SEP SEC) is one of five SECs within the Group Engineering Centre (GEC) in ST Engineering. Its mission is to deepen Data Analytics (DA) capabilities, proliferate DA usage group-wide, and to develop common/reusable DA products and tools for both internal and external use by all lines of businesses. The Advisory team in SEP SEC provides analytics consulting services to our internal customers and also assists them in projects with external customers. We are looking to hire an experienced data analyst with keen data analysis skills and ability to build rapport with customers. The analyst will primarily be involved in fundamental data warehousing and Business Intelligence projects and will also be working with our data scientists on predictive and prescriptive analytics projects. Key Responsibilities . Provide analytics consulting services internally and assist delivery team to implement resulting models into production . Support business unit project teams and external customers to develop, evaluate, refine, and deploy analytics models for production. You may be deployed temporarily to business units for the duration of some external projects . Work closely with data engineers, product managers, project managers, and platform developers in the implementation and deployment of the data analytics platform product . Mentor junior data analysts and review quality of work output Job Requirements . A Bachelors or Masters Degree in quantitative disciplines e.g. Science, Engineering, or Mathematics . 5 years or more of working experience in data analytics . In-depth technical knowledge and experience in any of the following will be a major plus o Operations Research o Econometrics o Social & Cognitive Computing . Social Psychology . User Experience Design, Human Computer Interface o Geospatial Analytics o Video/Image Processing o Analytics for Finance or Healthcare . Good understanding of end-to-end analytics process - ideation/value elicitation, requirements definition, data profiling, data preparation, analytical modelling, testing, validation, visualization, and deployment . Strong problem solving skills, curiosity, and passion for data science . Experienced in SQL (any flavour), Python, Spark, Java, or C . Familiar with ETL pipeline creation, BI reporting software, visualization tools . Excellent coordination and time management skills to handle complex projects . Willing and enthusiastic about continuous learning of new technologies and data science techniques/breakthroughs . Effective oral and written communication with strong analytical, problem solving, multitasking and project management skills