Rachel Nguyen Data Analyst
My
Profile
I am a Data Analyst with 4 years of experience across technology, business, and healthcare sectors. I have a passion for creating actionable insights from complex data sources, and am driven to strengthen my analytic skills and domain expertise.
I have an interest for:- Business Strategy: Leveraging data-driven insights to inform strategic decision-making and drive profitable growth.
- Consumer Insights: Analyzing customer data to understand their behavior, identify pain points, and optimize sales efforts.
- Product: Using data to understand user experience and optimize product features.
Explore my experience, skills, and projects, and discover how I can help you achieve your business goals.
Work
Experience
TikTok
Data Analyst
Sept 2022 - Present
- Increased average spend by 41% and customer engagement by 10% through experimental A/B testing and qualitative analysis.
- Ideated and launched a new onboarding sales segment with programs and operations teams by delivering capacity analysis and account assignment logic, leading to a 15% increase in customer retention in 3 months.
- Scaled an agency rewards program to over 20 global markets by delivering audience sizing, risk analysis, and product strategy, resulting in a 12% improvement in product adoption.
- Conducted comprehensive market research and competitive analyses to identify trends and growth opportunities for customer acquisition (e.g. channel sales, partnerships) and retention (e.g. product treatment, loyalty programs) strategies.
- Utilized Hive SQL to create datasets for cross-functional stakeholders, enhancing the accuracy of business assets for the SMB's largest revenue sales segment, leading to the discovery of $20M in previously unaccounted revenue.
- Improved revenue attribution by 10% by implementing a data mapping process on ETL pipeline that validates tagging accuracy within the internal CRM platform with data engineering team.
- Implemented global sales dashboards and topline KPIs (e.g. revenue growth, forecasting, product adoption, engagement) to executive stakeholders using a proprietary visualization tool (e.g. Looker) to monitor performance of sales teams, service teams, and advertisers.
- Reduced total processing and delivery time of coupon incentives by 2 weeks by designing an automated disbursement system with the product team.
Led end-to-end analytics and strategy support for full-funnel sales segments and go-to-market program initiatives under TikTok’s Small- & Medium-Sized Business (SMB) organization.
University of California, Irvine
Data Analyst
June 2019 - Sept 2022
- Conducted cohort analysis in an electronic health records database to identify key patterns in patient demographic and clinical data to understand disease progression, treatment outcomes, and genetic predispositions of rare neurological disorders.
- Secured over $250,000 in second-round funding by collaborating with cross-functional teams to interpret analysis results and devise personalized medicine strategies for business proposals.
- Developed dataset metrics and KPIs (e.g. survival rate, hospitalization rate) from common clinical data models (e.g. OMOP), pipelines, and medical coding informatics.
Delivered data insights to a research team identifying clinical signals in medical records that implicate a risk of developing genetic disorders.
Research Associate
June 2016 - June 2019
- Contributed to the product design and efficacy evaluation of a molecular screen for autism spectrum disorder that has been published, patented (US 20190128898), and commercialized.
- Decreased total processing time by 20% to record clinical metrics by building a streamlined reporting infrastructure and database from paper to digital files.
- Oversaw operations and procedures for three clinical studies for multidisciplinary research teams, ensuring adherence with federal regulations and UC/UCI IRB Human Research Protocol policies.
Managed lab-bench and clinical research projects studying the causes of neurologic disorders.