Job description

Date: 12-May-2022

Location: Singapore, SG

Company: ST Engineering Group

Data Analyst


The Advisory team within the Group Engineering Centre in ST Engineering provides analytics consulting services to our internal customers and also assists in projects with external customers.

We are looking for a 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, with the chance to work with data scientists on predictive and prescriptive analytics projects.

The candidate must be able to work in a fast paced environment and have a passion for identifying analytics business value, surfacing out insights from data and relating them to business operations and KPIs. He/She will work with data scientists, data engineers, project managers, and business stakeholders as part of every analytics engagement.

The ideal candidate will thrive in a work environment that requires strong problem-solving skills, self-motivation, and an aptitude for team collaboration and open communication.


  • Bachelor’s or Master’s degree in computer science, computer engineering, information systems or even related quantitative fields like economics & statistics.
  • Good understanding of end-to-end analytics process – ideation/value elicitation, requirements definition, data profiling, analytical modelling, testing, validation, visualization, and deployment
  • Good understanding of Data Warehousing, Business Intelligence, Visualization tech & concepts
  • Familiar with SQL (any flavour), Python, Spark, Java, or C
  • Able to design ETL pipelines and create visually intuitive dashboards
  • Familiarity with visualization tools like Tableau, Qlikview, QlikSense, PowerBI, Microstrategy
  • 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, time management, and project management skills

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