Data Analyst - Pune, India - Amber

    Amber
    Amber Pune, India

    2 weeks ago

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    Description

    About Amber

    Long-term accommodation booking platform for students (think for student housing). Amber helps 80M students worldwide, find and book full-time accommodations near their universities, without the hassle of negotiation, non-standardized and cumbersome paperwork, and broken payment process.

    We are the leading student housing platform globally, with 1M student housing units listed in 6 countries and across 80 cities. We are growing rapidly and targeting $2B in annual gross bookings value by 2024.

    If you are passionate about making international mobility and living, seamless and accessible, then - Join us in building the future of student housing

    Roles and Responsibilities Include:-

    • Developing and maintaining databases, data systems
    • Performing analysis to assess quality and meaning of data
    • Generate dynamic dashboards and reports
    • Identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
    • Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
    • Analyzing local, national, and global trends that impact both the organization and the industry Preparing reports for the management stating trends, patterns, and predictions using relevant data

    Skills required:-

    • Minimum 1-2 years of proven experience in Data analytics.
    • Strong mathematical skills to help collect, measure, organize, and analyze data
    • Knowledge and hands-on experience with programming languages like SQL and Python
    • Experience in ETL framework Knowledge of data visualization software like Tableau, Metabase etc.
    • Knowledge of AWS Data-warehouse Redshift is a plus
    • Problem-solving skills
    • Accuracy and attention to detail
    • Good verbal and Written communication skills
    • Proven working experience in data analysis