Senior Data Analyst - Malaysia - Shopee

    Shopee
    Shopee Malaysia

    3 days ago

    Shopee background
    Full time Technology / Internet
    Description

    Job Description:

    • Collaborate closely with product managers and internal stakeholders to understand their problems/requirements and deliver actionable insights to shape product strategy
    • Work with large datasets to problem-solve, identify key business issues or opportunities, construct hypothesis, and investigate the 'why' behind trends and observations
    • Drive visibility into product performance by defining and monitoring key business metrics
    • Collaborate with stakeholders to ensure best-practice A/B test experimentation implementation, and analyse results to provide insights
    • Design, build and maintain useful dashboards and reports to enable data-self serve for product managers
    • Communicate and present insights to key stakeholders and senior management
    • Develop business domain expertise within Marketplace

    Requirements:

    • Bachelor's degree or above in Business Analytics, Statistics, Computer Science and Mathematics or a related science/tech field
    • At least 5 years' of working experience as a Data/Business/Product/Customer Analyst, Consultant, or other related fields is preferred
    • Expert knowledge in analytical tools such as SQL, Excel
    • Highly responsible and independent, with strong sense of ownership
    • Strong analytical, curious, business-oriented and written/oral communication skills
    • Demonstrates structural thinking, problem-solving, able to break down problems into actionable solution(s)
    • Demonstrate good data visualisation and experience using its tools (e.g. Tableau, Data Studio)
    • Keen learner, open to feedback and self-improvement
    • Experience and strong working knowledge of various aspects of Data Analyst is preferred
    • (Preferred) Programming knowledge such as Python and R
    • (Preferred) Knowledge in Data Warehousing, ETL/ ELT processes
    • (Preferred) Experience with big data ecosystem (Hadoop, Spark, Hive)