Open to opportunities

elena User

@elenauser13

Message

I drive product growth through analytics, experimentation, and predictive customer insights.

China

Message

What I'm looking for

I'm looking to lead product and growth analytics that turn customer behavior, experimentation, and predictive insights into measurable improvements in engagement, retention, and business outcomes.

At Ever Growing Trading Company, I lead product analytics strategy for APAC growth, using KPI deep dives, funnel experiments, cohort analysis, and lifecycle insights to prioritize roadmap decisions and improve retention.

Previously at Discover Financial Services, I owned analytics across acquisition, activation, and retention for consumer payments. I helped reduce onboarding from eight to five steps, lifting completion by 1.8%, and built propensity models that drove over $5MM in annualized incremental revenue.

I also build practical analytics tools and scalable measurement systems, including a Python/Streamlit audience-sizing tool that reduced manual query time by 80%. My work spans SQL, Python, experimentation, predictive modeling, and translating customer behavior into actionable product and marketing decisions.

Experience

Work history, roles, and key accomplishments

Current

Principal Data Strategist

Current

Ever Growing Trading Company

Apr 2025 - Present (1 year 4 months)

Led product analytics strategy for APAC growth, driving deep-dive analyses into KPI fluctuations and partnering with Marketing and UX to design and evaluate funnel A/B tests. Built a growth analytics framework tracking first-year customer journeys to improve retention and customer lifetime value.

Product Analytics Funnel Analysis A B Testing Cohort Analysis Retention Analysis Customer Lifecycle Data Quality Reporting KPI Analysis Cross Functional Collaboration

Lead Product Analyst

Discover Financial Services

May 2021 - Apr 2025 (3 years 11 months)

Owned end-to-end product analytics for the consumer payments portfolio, building executive dashboards and conducting funnel analysis to revamp the customer journey, reducing onboarding steps and lifting completion rates. Engineered predictive propensity models driving over $5MM in annualized incremental revenue and built a Python/Streamlit self-service tool reducing manual query time by 80%.

Product Analytics Funnel Analysis A B Testing predictive modeling Python Streamlit SQL Dashboarding Retention Customer Segmentation Marketing Analytics

Innovation Data Analyst Internship

CONA Services

Jan 2021 - May 2021 (4 months)

Deployed supervised machine learning models to detect inventory anomalies and partnered with business teams to perform root-cause analysis, visualizing key drivers of volatility in Tableau.

Machine Learning Anomaly Detection Root Cause Analysis Tableau Data Visualization