Lead Data Analyst - Singapur, Singapore - careers@gov

    careers@gov
    careers@gov Singapur, Singapore

    4 weeks ago

    Default job background
    $80,000 - $120,000 per year Technology / Internet
    Description
    [What the role is]
    SENIOR / EXECUTIVE DATA ANALYST

    [What you will be working on]

    You will be involved in modelling of machine learning algorithm and conducting assessment on relevant data to be collected through maintenance and analytics module.

    You will analyse bus vehicle data and perform pre-processing of structured and unstructured data as well as understand bus operational needs and conduct assessment on data to be collected for application of ML algorithms for predictive maintenance of buses.

    In addition, you will develop data repositories and system to enable key stakeholders to access regular reports.

    You will enhance data collection procedures and use of programming and other tools to automate data processing tasks to improve efficiency.

    Beyond these, you will build predictive models and machine-learning algorithms.

    You will develop visualisations and presentations for dissemination of analytical results and derivation of actionable insight as well as apply expertise in data science, statistical analysis, data mining and the visualization of data to derive insights that value-add to business decision making.


    [What we are looking for]


    • Tertiary qualification in Computer and Information Science, Data Science and Analytics
    • At least 3 years' experience in business planning and data analytics
    • Excellent data analytics, visualization, and presentation skills
    • Programming languages (Python, R, etc.)
    • Experience in Data Visualization by using Tableau & Power BI
    • Experience in Statistical analysis and computing
    • Experience in Machine learning frameworks, prediction model, and libraries
    • Experience in model deployment with skillsets in ML Ops, DevOps, and software engineering
    • Knowledge of data management, data warehousing, data engineering
    • Familiar with agile project management