Janice Chun-Ping Yang
Data Product Associate @ YipitData
About
I’m a data professional with a passion for transforming complex business challenges into data-driven solutions. With 3+ years of experience in designing scalable ETL pipelines, optimizing business intelligence processes, and driving cost-efficient data solutions, I thrive in fast-paced, analytical environments. I specialize in architecting and maintaining large-scale data pipelines, optimizing ETL workflows to enhance efficiency, reduce computation costs, and improve data reliability. I’m passionate about leveraging data to drive efficiency, inform business strategies, and bridge the gap between technical teams and business stakeholders. I’m open to new opportunities in the data field, where I can continue to grow, innovate, and make an impact. Let’s connect!
United States
Greater Seattle Area
Market Research
Extract, Transform, Load (ETL), Product Management, Google Data Studio, Google BigQuery, dbt, Workday, PySpark, Python (Programming Language), Databricks, Airflow, Analytics, SQL, Tableau, Business Analytics, Data Visualization, R, Microsoft Word, Microsoft Office, Microsoft PowerPoint, Leadership
Experience
Data Product Associate
YipitData
Greater Seattle Area
Internal Tools Team
Data Specialist II
YipitData
Greater Seattle Area
Data Specialist I
YipitData
Greater Seattle Area
Data Integration Team
Data Scientist - Capstone
Adobe
Greater Seattle Area
- Working on a capstone (an industry-sponsored project) with the Adobe Photoshop Express team
Analytics Intern
University of Washington
Greater Seattle Area
Strategy and Analytics Intern
Lucid Software
Salt Lake City Metropolitan Area
• Defined and built 50 new metrics with SQL for Growth to better measure the results of A/B testing in a new product • Created and maintained self-served dashboards for the Marketing team and decreased ad-hoc requests by 20 percent • Led Lucidspark Activation Phase project and worked with Product to define setup, aha, habit moments for Lucidspark
Product Data Analyst
Crescendo Lab
Taipei City, Taiwan
• Built the first dashboard for the Product team with Data Studio to provide an efficient way to monitor performance • Initiated the metrics tracking system for Product and designed weekly report to communicate data with stakeholders • Diagnosed gap between product and client needs by drawing insights from user research, 2 surveys and 10 interviews • Responded to customer inquiries and enhanced efficiency of bug reporting process by adding automated workflows • Presented my analysis with designers, developers, and product manager to develop product roadmaps collaboratively
Operation & Technology Summer Analyst
Citi
Taipei City, Taiwan
• Examined trends in payment data and identified high-risk transaction patterns to improve the fraud detection process • Digitalized the signing process of branch reports, reducing expected paper usage by 90% per year • Conducted seniority analysis to identify unbalanced employee allocation and defined a new strategy for the team
Product Analytics Intern
PicCollage
Taipei City, Taiwan
• Held 2 user interviews every week to observe user behaviors, and proposed strategies to improved user experience • Improved user retention by conducting analysis with Amplitude and implementing different interfaces to each cohort • Organized user feedback using RUF model and revamped the knowledge base to decreased inquiries by 10 percent • Analyzed PicCollage website with Google Analytics, implemented SEO strategy, and reduced bounce rate by 30 percent • Monitored product metrics and user funnels, provided weekly reports and drive product strategies with my analysis
Microsoft Studnet Partner
Microsoft
Hong Kong
• Designed and implemented strategies for software promotion in colleges by holding technical workshops and hackthons • Introduced Hololens to participants in Microsoft Tech Summit, collected user feedback through surveys and interviews
Education
University of Washington
Information Management
Specialization: Data Science & Business Intelligence
Coursework:
- Data Science I: Theoretical Foundations
- Data Science II: Machine Learning
- Data Science III: Scaling & Application
- Software Development for Data Scientists
The Chinese University of Hong Kong
Major: Business Analytics Minor: Statistics
University of Massachusetts Amherst
Marketing Research / Statistics
Esade
E-Commerce/ Entrepreneurship
Janice Chun-Ping Yang's Contact Information
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