Hannah Kim
Data Analyst · SQL, experimentation
Singapore·hannah.kim@example.com·+65 8123 4567·linkedin.com/in/hannahkim
Summary
Data analyst with 4 years turning product and marketing data into decisions for consumer apps. Designs and reads A/B tests, builds self-serve dashboards, and explains results so that non-technical teams act on them with confidence. Fluent in Korean and English.
Experience
Data AnalystApr 2022 – Present
Beam SocialSingapore
- Analysed 40 A/B tests for the feed ranking team; 11 shipped, adding 6% to average watch time.
- Built Looker dashboards used weekly by 60 people, replacing 15 manual reports.
- Diagnosed a sign-up funnel drop on Android that, once fixed, recovered 18,000 sign-ups a month.
- Defined the north-star metric and 12 guardrail metrics now used in every product review.
- Trained 30 product managers in SQL basics, cutting ad-hoc data requests by a third.
- Built a self-serve experiment calculator used by 20 product managers to size tests.
Business Intelligence AnalystJul 2020 – Mar 2022
Harbourline RetailSeoul, South Korea
- Modelled customer lifetime value in SQL and Python, guiding a 20% shift of ad budget to high-value segments.
- Automated weekly sales reporting in Airflow, saving the team 10 hours a week.
- Forecasted store demand for 300 products with 92% accuracy, reducing stockouts 15%.
- Presented monthly insights to the leadership team, leading to 2 new loyalty-program features.
- Designed a churn early-warning score that helped the CRM team save 4,000 members a year.
- Standardised metric definitions across 5 teams in a shared data dictionary.
Data Analytics InternJun 2019 – Dec 2019
Seoul MobilitySeoul, South Korea
- Built the first weekly retention dashboard after cleaning 2 years of ride data.
- Analysed driver churn and identified 3 causes that operations teams later addressed.
- Wrote Python scripts that cut monthly reporting time from 2 days to 3 hours.
- Presented weekly insights to the operations team in a 10-minute stand-up.
Education
Yonsei University2016 – 2020
B.A., Statistics
Skills
Analysis: SQL, Python, pandas, A/B testing, Forecasting
BI: Looker, Tableau, BigQuery, Airflow
Languages
Korean (Native) · English (Fluent)