Xingyu Chen
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Xingyu Chen Email & Phone Number

Business Intelligence Manager at Amazon
Location: Greater Seattle Area, United States, United States 9 work roles 3 schools
1 work email found @purdue.edu 1 phone found area 765 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 86%

Contact Signals · 1 work email · 1 phone

Work email c****@purdue.edu
Direct phone (765) ***-****
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Role
Business Intelligence Manager at Amazon
Location
Greater Seattle Area, United States, United States

Who is Xingyu Chen? Overview

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Quick answer

Xingyu Chen is listed as Business Intelligence Manager at Amazon based in Greater Seattle Area, United States, United States. AeroLeads shows a work email signal at purdue.edu, phone signal with area code 765, and a matched LinkedIn profile for Xingyu Chen.

Xingyu Chen previously worked as Sr Business Intelligence Engineer at Amazon and Business Intelligence Engineer at Amazon. Xingyu Chen holds Doctor Of Philosophy (Ph.D.), Engineering Education, 3.98/4.0 from Purdue University.

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Email format at purdue.edu

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*@purdue.edu
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Profile bio

About Xingyu Chen

Xingyu Chen is a Business Intelligence Manager at Amazon. She is proficient in English.

Listed skills include Matlab, Statistics, Mathematical Modeling, Sas Programming, and 24 others.

9 roles

Xingyu Chen work experience

A career timeline built from the work history available for this profile.

Sr Business Intelligence Engineer

Seattle, Washington, United States

Design and launch data architecture that serve as the foundation for massive metrics and reports. Work with business and tech teams to define problems, provide deep diving analysis, and customer impact measurement. Work closely with data scientists, economists, and tech team on experimental design and AB testing. Serve as tech lead of the Business.

Jul 2020 - Dec 2022

Business Intelligence Engineer

Greater Seattle Area

Design and develop key metrics and reports. Create fundamental denomalized tables to support global BI reporting. Uncover trends and identify opportunities for improvement. Work closely with Business, Legal, and Tech partners to drive business decision and tech solutions. Automate reporting with BI tools to scale globally. Utilize AWS big data technologies.

Jan 2019 - Jun 2020

Product Manager

Greater Seattle Area

Develop strategy and support ongoing operations to expand product selection and availability globally. Build road maps for large, complicated and cross-functional projects. Manage product life cycle including Machine Learning enabled classification platform and Tableau dashboards. Partner with multiple stakeholders to create KPI and metrics to enable.

Oct 2017 - Dec 2018

Product Compliance Program Manager

Greater Seattle Area

Research, classify, and update product information. Query product attributes using SQL and Amazon internal tools. Maintain and update databases to ensure product compliance with regulations and policies. Write, test, and apply auto-classification rules. Resolve escalation cases related to product classification.

Nov 2015 - Oct 2017

Data Analyst

Seattle

Research and classify product types to ensure regulatory compliance with product safety regulations. Review and QA auto-classification rules. Resolve escalation cases related to product classification. Review testing documents.

Jun 2015 - Nov 2015

Research Assistant

West Lafayette, IN

Analyze and interpret data from large-scale student-level and institution-level databases on grant funded research projects. Collect, process, and maintain IPEDS data files that contain over 3,000 variables. Extensive use of statistical methods and data analysis tools such as SAS, SQL, and Excel. Communicate research findings through posters.

Aug 2010 - May 2014

Business Analyst

Guangdong Yudean Shipping Co., Ltd

Guangzhou, Guangdong, China

Research and collect indices measuring the supply and demand of the shipping market. Create weekly market reports and predict market trends. Calculate various costs related to the freight cost. Make strategic plans for purchasing and building dry bulk ships. Assist in business affairs related to hull insurance. Provide administrative support for the.

Jul 2008 - Jul 2010

Finance Intern

Tianlun International Hotel

Guangzhou, Guangdong, China

Balance sheet reconciliation. Assist with day-end financial reports. Manage and update the monthly tracking of physical inventory.

Jul 2007 - Aug 2007

Intern In The Human Resource Department

Hangzhou, Zhejiang, China

Maintain and analyze employee data. Help establish evaluation criteria of employee job performance. Support HRs from different technical departments. Arrange meetings. Use of Excel as a data management tool. Gain effective interpersonal and communication skills.

Dec 2006 - Jan 2007
3 education records

Xingyu Chen education

Bachelor Of Science (B.S.), Mathematics And Applied Mathematics, 3.91/4.0

FAQ

Frequently asked questions about Xingyu Chen

Quick answers generated from the profile data available on this page.

What is Xingyu Chen's role at their current company?

Xingyu Chen is listed as Business Intelligence Manager at Amazon.

What is Xingyu Chen's email address?

AeroLeads has found 1 work email signal at @purdue.edu for Xingyu Chen.

What is Xingyu Chen's phone number?

AeroLeads has found 1 phone signal(s) with area code 765 for Xingyu Chen.

Where is Xingyu Chen based?

Xingyu Chen is based in Greater Seattle Area, United States, United States.

What companies has Xingyu Chen worked for?

Xingyu Chen has worked for Amazon, Purdue University, Guangdong Yudean Shipping Co., Ltd, Tianlun International Hotel, and Alibaba.Com.

How can I contact Xingyu Chen?

You can use AeroLeads to view verified contact signals for Xingyu Chen, including work email, phone, and LinkedIn data when available.

What schools did Xingyu Chen attend?

Xingyu Chen holds Doctor Of Philosophy (Ph.D.), Engineering Education, 3.98/4.0 from Purdue University.

What skills is Xingyu Chen known for?

Xingyu Chen is listed with skills including Matlab, Statistics, Mathematical Modeling, Sas Programming, Spss, Microsoft Excel, Microsoft Word, and Powerpoint.

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