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Hanjing Wang Email & Phone Number

Sr. BIE at Amazon
Location: Greater Seattle Area, United States 8 work roles 1 school
1 work email found @unilever.com LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email h****@unilever.com
LinkedIn Profile matched
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Current company
Role
Sr. BIE
Location
Greater Seattle Area, United States
Company size

Who is Hanjing Wang? Overview

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Quick answer

Hanjing Wang is listed as Sr. BIE at Amazon, a with 734811 employees, based in Greater Seattle Area, United States. AeroLeads shows a work email signal at unilever.com and a matched LinkedIn profile for Hanjing Wang.

Hanjing Wang previously worked as Sr. BIE - People Experience & Technology at Amazon and Business Intelligence Engineer - People Experience & Technology at Amazon. Hanjing Wang holds Master'S Degree, Business Analytics from University Of Minnesota - Carlson School Of Management.

Company email context

Email format at Amazon

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{first}.{last}@unilever.com
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AeroLeads found 1 current-domain work email signal for Hanjing Wang. Compare company email patterns before reaching out.

Profile bio

About Hanjing Wang

Hanjing Wang is a Sr. BIE at Amazon. They possess expertise in data analytics, sql, r, python, tableau and 15 more skills. They is proficient in English. Colleagues describe them as "As Hanjing's academic advisor, I was extremely impressed by her analytic skills, work ethics, and sharp intuition about the managerial questions. Having been teaching data analytics at different universities for nearly 10 years, Hanjing's group is one of the best students I've taught."

Listed skills include Data Analytics, Sql, R, Python, and 16 others.

Current workplace

Hanjing Wang's current company

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Amazon
Amazon
Sr. BIE
Kirkland, WA, US
Website
Employees
734811
AeroLeads page
8 roles

Hanjing Wang work experience

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

Sr. Bie

Kirkland, Wa, Us

Sr. Bie - People Experience & Technology

Current

Seattle, Wa, Us

Apr 2024 - Present

Business Intelligence Engineer - People Experience & Technology

Seattle, Wa, Us

Jan 2024 - Mar 2024

Business Intelligence Engineer - Transportation Risk & Compliance

Seattle, Wa, Us

Dec 2021 - Dec 2023

Business Intelligence Engineer - Last Mile Finance Technology

Seattle, Wa, Us

Aug 2020 - Dec 2021

Analytics Specialist

Blackfriars, London, Gb

Sep 2018 - Aug 2020

Analytics Consultant

Minneapolis, Mn, Us

Client: Fortune 150 CPG Company – Promotion Campaign Effectiveness Automation (Best Technical Solution Award)• Developed end-to-end automation pipeline from data gathering to model building and visualization, achieved product scalability with minimal manual intervention and significant reduction in development time• Implemented Discrete Choice Model in R using 3 years Nielsen data to analyze promotion effectiveness• Designed interactive dashboard in Tableau to visualize modeling results by various retailer, brand, and promotion combinations, presented insights and actionable recommendations to category directorClient: Mall of America – Guest Experience Improvement & Ridership Forecast (Case Competition Finalist)• Merged and transformed 17M rows of transaction data in SQL, applied K-Prototype clustering algorithm to develop segment personas based on similar behaviors and characteristics• Delivered tailored recommendations with ridership bundles and demand redistribution to optimize traffic flows in R and Tableau• Built ensemble predictive model using Random Forest in R to forecast daily ridership for upcoming year, improved daily staffing accuracy by 20% and reduced the error in annual revenue forecast by $1.6MClient: PwC – Loss Ratio Reduction Analysis (Case Competition Finalist)• Led a 6-person team to analyze an auto book of business through clustering and exploratory data techniques in R and Tableau to discover insights to drive down the loss ratio• Quantified findings to generate actionable fraud-detection recommendations, leading to an increase in customer understanding and methods to avoid potential fraud by 5%

Jun 2017 - May 2018

Data Analyst Intern

Ge

Boston, Ma, Us

• Synthesized 80K financial raw data in Excel for 12 ASEAN entities on a daily basis and delivered user friendly report with expedited data-gathering process• Analyzed financial performance and KPIs, presented monthly and quarterly results to cross-functional executive management teams, supported fact-based decision making and better financial strategic planning

Dec 2015 - Jun 2016
Team & coworkers

Colleagues at Amazon

Other employees you can reach at amazon.com. View company contacts for 734811 employees →

1 education record

Hanjing Wang education

  • University Of Minnesota - Carlson School Of Management
    University Of Minnesota - Carlson School Of Management
    Business Analytics
FAQ

Frequently asked questions about Hanjing Wang

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

What company does Hanjing Wang work for?

Hanjing Wang works for Amazon.

What is Hanjing Wang's role at Amazon?

Hanjing Wang is listed as Sr. BIE at Amazon.

What is Hanjing Wang's email address?

AeroLeads has found 1 work email signal at @unilever.com for Hanjing Wang at Amazon.

Where is Hanjing Wang based?

Hanjing Wang is based in Greater Seattle Area, United States while working with Amazon.

What companies has Hanjing Wang worked for?

Hanjing Wang has worked for Amazon, Unilever, Carlson Analytics Lab, and Ge.

Who are Hanjing Wang's colleagues at Amazon?

Hanjing Wang's colleagues at Amazon include Yaza Miz, D G, Yogesh Mehta, Sheeraz Qaisrani, and Ozan Albayrak, Pfmp, Pmp.

How can I contact Hanjing Wang?

You can use AeroLeads to view verified contact signals for Hanjing Wang at Amazon, including work email, phone, and LinkedIn data when available.

What schools did Hanjing Wang attend?

Hanjing Wang holds Master'S Degree, Business Analytics from University Of Minnesota - Carlson School Of Management.

What skills is Hanjing Wang known for?

Hanjing Wang is listed with skills including Data Analytics, Sql, R, Python, Tableau, Machine Learning, Data Visualization, and Business Intelligence.

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