Cassie Jiang - Business Intelligence Analyst

About

I'm a results-driven Business Intelligence Analyst with over 3 years of experience bridging data insights and operational strategy across educational services and international trade sectors.

Skilled in requirements gathering, process mapping, and business systems implementation, I specialize in transforming complex data into actionable insights that drive business growth. My expertise spans from Python-based modeling to cross-functional stakeholder engagement.

Currently based in Toronto, I combine my technical proficiency in Salesforce, ERP systems, and data visualization tools with strong business acumen to deliver strategic program initiatives and KPI improvements.

3+ Years Experience

3.85 GPA (4.0 scale)

15K+ Tons Monthly Sales

A Glimpse Into My World

Step through the door to discover my journey

Behind the Scenes

Education

Bachelor of Business Administration

University of Toronto

Management & Finance Specialist | Graduated November 2022

cGPA: 3.85/4.00

Academic Achievements

High Distinction (2022)
Dean's List (2020, 2021, 2022)
$10,000 Entrance Scholarship (2019)

Certifications

Python for Business Certificate - FinHub
Mathematics for Machine Learning - Imperial College London
Software Testing & Automation - University of Minnesota

Experience

Jan 2024 – Present

Academic Subject Manager

Easy Education Inc., Toronto, ON

Gather and document business requirements for academic program development, coordinating inputs from marketing, sales, and academic teams
Designed and maintained Excel and Tableau dashboards for real-time tracking of KPIs, improving executive decision-making and operational insights
Led cross-departmental collaboration to translate business needs into actionable project deliverables, ensuring readiness for internal system updates
Developed test plans and coordinated User Acceptance Testing (UAT) activities for system enhancements, facilitating stakeholder sign-off
Developed detailed financial models and strategic business cases to support operational decisions and market-entry strategies
Presented data-driven recommendations to executive leadership, influencing key decisions on resource allocation and program offerings

Sep 2022 – Dec 2023

Associate Sales Manager

Tsingshan Holding Group, Wenzhou, China

Supported the implementation and adoption of Salesforce CRM and ERP systems to improve sales pipeline visibility and operational efficiency
Presented complex analytical findings clearly and concisely to senior leadership, driving strategic alignment and informed decision-making
Conducted market research and developed KPI models to guide pricing strategies for over 15,000 tons of monthly product sales
Created detailed process documentation for quotation and invoicing flows, ensuring compliance with internal and external audit standards
Maintained strong liaison with international clients and internal technical stakeholders, ensuring successful contract execution and payment collections

Jun 2023 – Aug 2023

Initiator & Market Researcher

AIPlus ERP, Wenzhou, China

Gathered requirements from SMEs to inform ERP system design and functionality prioritization
Documented client feedback and produced feature requirement matrices for engineering teams
Conducted UAT coordination sessions with pilot clients to refine product-market fit

Projects

Jun 2022 – Aug 2022

Obesity & Overweight Insurance Plan

Led comprehensive market analysis in the health insurance domain. Developed a Python-based ROI model to simulate pricing outcomes and evaluate profitability under varying risk conditions. Analyzed the correlation between BMI and insured amounts, uncovering behavioral insights that supported a successful product launch strategy.

Python Data Analysis Market Research SWOT Analysis

Jan 2022 – Apr 2022

Impact of COVID-19 on Gaming Stocks

Performed comprehensive performance analysis on representative stocks in the video gaming segment of the S&P 500. Applied event study methodology to analyze abnormal returns and conducted regression analysis on Cumulative Abnormal Returns (CAR) to explore correlation between stock performance and pandemic restrictions.

Statistical Analysis Event Study Regression Stock Analysis

Jun 2023 – Aug 2023

E-Commerce Platform Optimization

Evaluated user experience of an online shopping platform focusing on navigation efficiency and purchase funnel optimization. Conducted usability testing and A/B test scenarios, reducing bounce rates by 15%. Logged over 30 functional and UI/UX bugs with detailed reproduction steps.

A/B Testing UX Analysis Bug Reporting User Testing

Skills

Technical Skills

Python Postman Selenium R Excel (Advanced) Bug Reporting API Testing Git Salesforce CRM Tableau Manual Testing Functional Testing Regression Testing SQL Test Case Design UAT Jira Power BI LaTeX

Testing & Analysis

Manual Testing Functional Testing Regression Testing Test Case Design User Acceptance Testing Reproducibility Documentation Scenario Simulation A/B Testing Data Validation Root Cause Analysis Behavioral Flow Analysis Data Visualization Documentation

Business Analysis

Requirements Gathering Process Mapping Stakeholder Communication System Implementation UAT Coordination KPI Modeling Risk Analysis Strategic Planning Analytical Thinking Leadership Presentation Skills

Languages & Interests

English (Bilingual) Mandarin (Bilingual) French (Basic) Ukulele Piano Video Blogging Community Involvement

YAHUI JIANG