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newyorkcares.org →Data quality analyst · New York
Hi there, I'm
Juliette Wong.
Currently checking options data at OptionMetrics and finishing my master's in analytics at Georgia Tech.
A bit about me ↓
About
I'm a data professional with a background spanning software engineering, analytics, and data quality. I'm currently a Data Quality Analyst at OptionMetrics, where I work on the reliability and accuracy of historical options data products. Previously, I spent almost 5 years at Mastercard on Mastercard Intelligence Center, used by 2,000+ clients to understand portfolio performance.
Alongside my professional work, I'm completing a Master of Science in Analytics at Georgia Tech, building on my undergraduate background in Mathematical Sciences from Carnegie Mellon University.
Outside of work, you can find me in contemporary dance classes, eating my way around New York, volunteering, listening to music (JUNNY is always on repeat), and watching the Mets (maybe not in 2026).
Experience
View résumé (PDF)-
Apr 2026 — Present
Data Quality Analyst
OptionMetrics
- Lead data quality efforts for IvyDB TradeFlow, OptionMetrics' intraday options order flow product, validating trade classification, volume, and buy/sell pressure data prior to release.
- Investigate data anomalies and work with production pipelines to identify and resolve quality issues across OptionMetrics' options data and analytics products.
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Aug 2021 — Apr 2026
Software Engineer, Quality
(Quality I → Quality II)
Mastercard
- Helped build Mastercard Intelligence Center, a self-service analytics platform that 2,000+ clients use to understand portfolio performance across transaction, fraud, and digital payments data (~5M rows a day).
- Validated benchmarking metrics across 3 products with SQL and root-caused calculation anomalies in ~15% of KPIs, documenting each fix so it wouldn't happen again.
- Cut reporting defects by 10% by catching cross-database pipeline issues in Snowflake and Postgres before clients did.
- Built Splunk and Mixpanel dashboards to track performance and usage; the trends and pain points I surfaced to product and business leads helped lift product usage 15% and reduce client complaints 30%.
- Jul — Aug 2020 Summer Technology Analyst Citi
- May — Aug 2019 Business Analyst Intern Grant Street Group
Education
- Expected Dec 2026 Master of Science in Analytics Georgia Institute of Technology — Computational Data Analytics track
- Aug 2017 — May 2021 Bachelor of Science in Mathematical Sciences Carnegie Mellon University — Operations Research & Statistics; minors in HCI and Chinese Studies
Selected projects
View more projects →-
Decoding Urban Noise in NYC 311 DataTen years (18M+ rows) of 311 noise complaints, modeled with tensor decomposition to forecast where and when the city gets loud, explored through an interactive D3 map.
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UFC Fight Prediction and AnalysisTwenty years of fight records joined with pay-per-view sales to find out what actually makes people buy a fight.
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Discrete Flu Epidemic TransmissionA stochastic simulation of flu spreading through a 61-student classroom, run 1,000 times to see how vaccination and contact patterns change an outbreak.
Selected research
- Jan — May 2021 Data Modeling Research Assistant University of Pittsburgh Math Department (MLB Project)
- Jan — Jun 2020 Data Visualization Research Assistant Carnegie Mellon Computer Science Department
Community & Involvement
Volunteering & Committees
ASIA BRG Committee, Mastercard
Co-led events for the NYC office's Asian employee resource group.
About Mastercard BRGs →Dance Performances
NY Liberty Halftime Show
Performed with PMT House of Dance.
Watch on YouTube →NY Liberty Halftime Show
Performed with PMT House of Dance.
Watch on YouTube →