Job
Core
Partner with Product, Commercial, and Engineering teams to analyze user behavior, evaluate product hypotheses, design experiments, and build scalable analytics foundations.
Role type
Product Data Analyst
Builds
Product metrics, data marts, dashboards, alerting, and experiment analysis
Domain
Fintech / Product Analytics
Deliverable
dashboards & analysis
Required skills
SQL, Python, product analytics concepts (funnels, retention, cohorts), A/B testing design and analysis, event tracking, data mart construction
Preferred skills
dbt-style analytics engineering, marketing analytics and attribution, event tracking ownership
Technologies
Snowflake, ClickHouse, MySQL, BigQuery, Tableau, HEX, Amplitude, Python (pandas, numpy, scikit-learn), Jupyter Notebook
Responsibilities
Analyze user behavior and product journeys (funnels, activation, engagement, retention, monetization); Design and analyze A/B tests and experiments; Define and maintain product KPIs and metric trees; Build user and behavioral segmentations; Partner with Engineering on event tracking and instrumentation
Seniority
Mid-level, hands-on IC
