Avatar of Yi-Ling Huang.
Yi-Ling Huang
Business Analyst | Data Analyst | Business Intelligence Analyst
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Yi-Ling Huang

Business Analyst | Data Analyst | Business Intelligence Analyst
I am passionate about analyzing data and providing business insight to help people solve problems. I utilized R, SQL and Python to process data, to apply machine learning algorithms, and to visualize data appropriately. Even though I sometimes had challenges, I really enjoyed the process solving them. Each puzzle provides a new opportunity to find solutions.
Amazon
Southern Methodist University
台灣台北

Professional Background

  • 現在の状況
    無職
  • Profession
    Data Analyst
  • Fields
  • 職務経験
    1〜2年 (1〜2年関連の実務経験)
  • Management
    なし
  • Skills
    Excel
    SQL
    Python
    Tableau
  • Languages
    English
    ビジネスレベル
    Chinese
    ネイティブまたはバイリンガル
  • Highest level of education
    Master

Job search preferences

  • Desired job type
    フルタイム
    リモートワークに興味あり
  • Desired positions
    Data Analyst
  • 希望の勤務地
  • Freelance
    非フリーランス

Work Experience

Sales Operations Intern

Amazon
フルタイム
2月 2021 - 2月 2022
1 yr 1 mo
Taipei City, Taiwan
Extracted and summarized data from database using SQL and Python and provided insights for business teams to stimulate seller quality and shorten seller launched timeline Devised seller tool using SQL and VBA to help sales team push forward sales pipeline and feature adoption and trigger email pushed directly to targeted sellers and thus save time for 70% of sales representatives Maintained seller data and designed reports and dashboards in Astro, a Salesforce tool, to assist business teams to catch up real-time seller registration status and seller performance

Business Operation Intern

Efortles, Inc
インターンシップ
8月 2020 - 10月 2020
3 mos
New York, NY, USA
Researched online platform for marketing use and presented outcome using Notion Established investor list with different sweet spots using pivot table and conducted pitch deck to attract investors to invest

Financial Analyst

7月 2017 - 12月 2018
1 yr 6 mos
• Measured revenue performance by applying data visualization such as bar chart, line chart and pie chart • Monitored production status by utilizing pivot table with months and clients • Identified whether company should explore new customers by analyzing financial figures and monthly production status

Education

Master of Science (MS)
Master of Science in Business Analytics
2019 - 2020
Master of Business Administration (MBA)
Finance
2015 - 2017
Bachelor of Business Administration (BBA)
Finance
2011 - 2015