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Data Analysts (Remote)

Remote

MÔ TẢ CÔNG VIỆC

    - Responsible for completing assigned tasks and ensuring quality.
    - Work and collaborate effectively within the team under the direction of the supervisor/manager.
    - Further details about the job will be discussed during the interview.

QUYỀN LỢI

    - An attractive income level upto 33,000,000 VNĐ.
    - Bonus: 1~10 million anyone for referring acquaintances and friends to the company
    - Working in a large and modern system, having the opportunity to enhance comprehensive technical skills
    - Become a Key Person of Project Influence, a Leader as well as a Project Manager.
    - Participate in staff engagement activities such as Game Online (Half-Life, AOE, Dota2, LOL, Pubg...), Team Building,
    - Having many opportunities to promote based on personal ability and range of salary.
    - Accessing to various projects and the latest technology
    - Taking part in many courses such as AWS, Microservice, English, Japanese...

YÊU CẦU

    - 5+ years of experience in data analytics, consulting, or analytics roles.
    - Strong hands-on experience in the Life Insurance domain (mandatory).
    - Experience working in client-facing, consulting, or multi-market environments is highly preferred.
    - Proven experience leading or mentoring analytics teams and managing analytics delivery.
    - Strong experience in: Data modeling, schema design, and data cleansing; Identifying and defining meaningful insurance KPIs
    - Solid understanding of statistics, predictive modeling, and segmentation techniques.
    - Hands-on experience with large-scale datasets and scalable analytics solutions.
    - Strong business acumen with the ability to translate insights into measurable business impact.
    - Excellent storytelling and communication skills, especially using PowerPoint, Word, or equivalent tools.
    - Ability to perform under pressure in fast-paced, high-impact environments.
    - Technical Skills: Mandatory: SQL (advanced querying, performance optimization), Data visualization tools: Power BI or Tableau

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