Dan Y.

Dan Y. Email and Phone Number

BI Engineer @ Amazon
Dan Y.'s Location
Greater Seattle Area, United States, United States
Dan Y.'s Contact Details

Dan Y. personal email

n/a
About Dan Y.

Dan Y. is a BI Engineer at Amazon. He possess expertise in sas, spss, stata, microsoft excel, sql and 10 more skills. He is proficient in English.

Dan Y.'s Current Company Details
Amazon

Amazon

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BI Engineer
Dan Y. Work Experience Details
  • Amazon
    Bi Engineer Ii
    Amazon Mar 2021 - Present
    Seattle, Wa, Us
    View
  • Amazon Web Services (Aws)
    Business Intelligence Engineer Ii
    Amazon Web Services (Aws) Oct 2020 - Mar 2021
    Seattle, Wa, Us
    Provided BI reporting to AWS Messaging and Mobile products
    View
  • Microsoft
    Data Analyst
    Microsoft Aug 2019 - Oct 2020
    Redmond, Washington, Us
    Azure CGA via PacteraLead payment anomaly events analytics and incidents operations.Define, implement, and monitor KPIs of payment operations and initiatives, and provided monthly business reviews and actionable recommendations.Create automation tools and ETL processes to reduce repetitive jobs and optimize evergreen projects.Tools: SQL Server, Cosmos SCOPE, Power BI, Azure OLAP, Azure Data Lake, Flows, R, Kusto, etc.
    View
  • Microsoft
    Data Analyst
    Microsoft May 2018 - Aug 2019
    Redmond, Washington, Us
    Microsoft Search Advertising - Ads Sales Operations via Teleion Provided change management for North America Corporate, Global SMB, and Global Channel Partner sales team.Developed sales reporting and dashboards to monitor book balance and initiatives performance.Solved account management problems using data-driven approaches.
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  • Texas A&M University
    Data Analyst At Student Life Studies
    Texas A&M University Jun 2016 - Sep 2017
    College Station, Tx, Us
    Applied statistical approaches (t-tests, ANOVA, correlation, regression, etc.) to analyze survey data to assess the effectiveness of campus events, and provide actionable insights to improve participants' experience.Conducted a longitudinal study to understand the impacts of campus life engagement, using data extracted from multiple sources.Visualized data in Tableau and created self-served Tableau dashboards.Designed concise research plans to answer ambiguous questions and delivered results in a timely fashion with minimal supervision.Helped with recruiting and coaching new data analysts.
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  • Texas A&M University
    Research/Teaching Assistant
    Texas A&M University Jan 2014 - May 2016
    College Station, Tx, Us
    View
  • Hsbc
    Legal & Compliance Intern
    Hsbc Aug 2010 - Oct 2010
    London, Gb
    Conducted weekly risk assessments for both corporate and private banking accounts.Partnered with a senior manager to understand updates on compliance standards, create reports on legal requirements to support the organization.
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  • Shaanxi Huashang Media Group Co., Ltd.
    Social Media Intern
    Shaanxi Huashang Media Group Co., Ltd. Jun 2010 - Aug 2010
    View

Dan Y. Skills

Sas Spss Stata Microsoft Excel Sql Microsoft Word R Powerpoint Logistic Regression Linear Regression Demographic Analysis Survey Design Tableau Quantitative Research Qualitative Methods

Dan Y. Education Details

  • Texas A&M University
    Texas A&M University
    Sociology
  • Xi'An Jiaotong University
    Xi'An Jiaotong University
    Sociology

Frequently Asked Questions about Dan Y.

What company does Dan Y. work for?

Dan Y. works for Amazon

What is Dan Y.'s role at the current company?

Dan Y.'s current role is BI Engineer.

What is Dan Y.'s email address?

Dan Y.'s email address is dy****@****zon.com

What schools did Dan Y. attend?

Dan Y. attended Texas A&m University, Xi'an Jiaotong University.

What are some of Dan Y.'s interests?

Dan Y. has interest in Fashion, Social Media, Environment, Jazz, Photography, Poverty Alleviation, Science And Technology, Disaster And Humanitarian Relief, Zumba, Animal Welfare.

What skills is Dan Y. known for?

Dan Y. has skills like Sas, Spss, Stata, Microsoft Excel, Sql, Microsoft Word, R, Powerpoint, Logistic Regression, Linear Regression, Demographic Analysis, Survey Design.

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