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Data Analyst, Global Trade

1.00 to 5.00 Years   Bangalore   09 Dec, 2022
Amazon
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other SoftwareStatistics / Analytics
EmploymentTypeFull-time

Job Description

    Working in a dynamic environment, you will be responsible for monitoring key success metrics for sellers, identifying problem areas and business challenges and collaboratively shaping solutions with category and business teams to help sellers grow and optimize on the Amazon platform. The successful candidate has a passion for extracting actionable insights from data. He/she rolls up his/her sleeves, innovates, and quickly becomes a subject matter expert to assess business performance across sellers and market segments. He/she has significant experience working with customers, analyzing data, identifying trends, extracting conclusions, and presenting findings in a simple and clear manner. He/she enjoys problem solving and is proficient using Excel and other tools to analyze large data sets.Key Responsibilities: Understand Amazon seller Services products and services and track/report business performance and problem areas using appropriate metrics. Work cross functionally with the account management team to fix problems with sellers Use Amazon s tools to problem solve and validate solutions Partner to define goals around key operational metrics Recommend business actions based on analytical findings. Includes defining new metrics, techniques, and strategies to improve seller performance,
    • 1+ years of experience as an analyst or engineer in the data/BI space
    • Experience with data visualization using Tableau, Quicksight, or similar tools
    • Demonstrated experience with SQL and working on large datasets
    • Bachelor s degree in a quantitative field such as Mathematics, Statistics, Engineering, Computer Science, Economics, Finance, or related field
    • Excellent written and oral communication and presentation skills and the ability to express thoughts logically and succinctly.
    • Experience in using R/Python to handle large data sets
    • Knowledge of statistical modelling and ML techniques

Keyskills :
account managementcustomer relationssqldata analysiscomputer sciencedata visualization

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